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Researcher ORCID: 0000-0001-9229-586X

- On Convergence Properties of the EM Algorithm for Gaussian Mixtures (788)
- Rival penalized competitive learning for clustering analysis, RBF net, and curve detection (643)
- Drop splashing on a dry smooth surface. (470)
- Least mean square error reconstruction principle for self-organizing neural-nets (337)
- Convergence results for the EM approach to mixtures of experts architectures (318)
- Modified Hebbian learning for curve and surface fitting (261)
- An Alternative Model for Mixtures of Experts (250)
- Probabilistic and non-probabilistic Hough transforms: overview and comparisons (240)
- Robust principal component analysis by self-organizing rules based on statistical physics approach (232)
- Wetting and capillary phenomena of water on mica (207)
- 2008 Special Issue: BSMART: A Matlab/C toolbox for analysis of multichannel neural time series (169)
- Bayesian Ying-Yang machine, clustering and number of clusters (155)
- Liquid drop splashing on smooth, rough, and textured surfaces. (152)
- On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size (151)
- Visualizing kinetic pathways of homogeneous nucleation in colloidal crystallization (140)
- Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003 (136)
- BYY harmony learning, structural RPCL, and topological self-organizing on mixture models (120)
- Superhydrophobic-like tunable droplet bouncing on slippery liquid interfaces (113)
- RBF nets, mixture experts, and Bayesian Ying-Yang learning (108)
- Splashing of liquids: Interplay of surface roughness with surrounding gas. (103)
- Independent component ordering in ICA time series analysis (99)
- Asymptotic Convergence Rate of the EM Algorithm for Gaussian Mixtures (91)
- Learned parametric mixture based ICA algorithm (89)
- BYY harmony learning, independent state space, and generalized APT financial analyses (87)
- Temporal BYY learning for state space approach, hidden Markov model, and blind source separation (82)
- Dynamics of drying in 3D porous media. (78)
- Best Harmony, Unified RPCL and Automated Model Selection for Unsupervised and Supervised Learning on Gaussian Mixtures, Three-Layer Nets and ME-RBF-SVM Models (72)
- Kelvin–Helmholtz instability in an ultrathin air film causes drop splashing on smooth surfaces (70)
- An Extended Path Following Algorithm for Graph-Matching Problem (64)
- A gradient BYY harmony learning rule on Gaussian mixture with automated model selection (62)
- Rival penalized competitive learning, finite mixture, and multisets clustering (61)
- Bayesian Ying-Yang system, best harmony learning, and five action circling (57)
- A unified perspective and new results on RHT computing, mixture based learning, and multi-learner based problem solving (56)
- Advances on BYY harmony learning: information theoretic perspective, generalized projection geometry, and independent factor autodetermination (56)
- Hierarchical porous materials made by drying complex suspensions. (55)
- A PCA approach for fast retrieval of structural patterns in attributed graphs (55)
- Investigation on Several Model Selection Criteria for Determining the Number of Cluster (55)
- Sequencing-based approach identified three new susceptibility loci for psoriasis. (54)
- Independent component analysis by the information-theoretic approach with mixture of densities (53)
- Data smoothing regularization, multi-sets-learning, and problem solving strategies (52)
- How many clusters?: A Ying-Yang machine based theory for a classical open problem in pattern recognition (52)
- Bayesian Kullback Ying-Yang dependence reduction theory (49)
- An XPS and Scanning Polarization Force Microscopy Study of the Exchange and Mobility of Surface Ions on Mica (49)
- Probabilistic load forecasting for buildings considering weather forecasting uncertainty and uncertain peak load (47)
- Coalescence of Pickering emulsion droplets induced by an electric field. (47)
- Modeling inter-subject variability in FMRI activation location: a Bayesian hierarchical spatial model. (47)
- Comparisons of Probabilistic and Non-probabilistic Hough Transforms (44)
- Radar HRRP Statistical Recognition With Local Factor Analysis by Automatic Bayesian Ying-Yang Harmony Learning (43)
- Compressible air entrapment in high-speed drop impacts on solid surfaces (42)
- Theories for unsupervised learning: PCA and its nonlinear extensions (41)
- One-Bit-Matching Conjecture for Independent Component Analysis (40)
- Electrohydrodynamic deposition of polymeric droplets under low-frequency pulsation. (40)
- De-wetting of lubricants on hard disks (37)
- Yet another algorithm which can generate topography map (36)
- A Comparative Study of Several Cluster Number Selection Criteria (36)
- Unsupervised and supervised classifications by rival penalized competitive learning (35)
- Improved system for object detection and star/galaxy classification via local subspace analysis (35)
- An AFM study of the tribological properties of NaCl (100) surfaces under moist air (34)
- Understanding the low-frequency quasilocalized modes in disordered colloidal systems. (31)
- Fabrication of nanochannels via near-field electrospinning (30)
- Finite Mixture of ARMA-GARCH Model for Stock Price Prediction (29)
- Pulsed electrohydrodynamic printing of conductive silver patterns on demand (28)
- Scanning Polarization Force Microscopy Study of the Condensation and Wetting Properties of Glycerol on Mica (28)
- Dual multivariate auto-regressive modeling in state space for temporal signal separation (27)
- Combining Classifiers and Learning Mixture-of-Experts (27)
- Effects of surface ions on the friction and adhesion properties of mica (27)
- Recent Advances on Techniques of Static Feedforward Networks with Supervised Learning (27)
- Electrohydrodynamic direct-writing microfiber patterns under stretching (26)
- Strip line detection and thinning by RPCL-based local PCA (26)
- Bayesian Ying Yang System and Theory as A Uni ed Statistical Learning Approach I for Unsupervised and Semi Unsupervised Learning (26)
- On essential topics of BYY harmony learning: Current status, challenging issues, and gene analysis applications (25)
- BYY learning, regularized implementation, and model selection on modular networks with one hidden layer of binary units (25)
- High-resolution imaging of liquid structures: Wetting and capillary phenomena at the nanometer scale (25)
- Independent Component Analysis and Extensions with Noise and Time : A Bayesian Ying-Yang Learning Perspective (24)
- An extended ASLD trading system to enhance portfolio management (23)
- Temporal BYY encoding, Markovian state spaces, and space dimension determination (23)
- Bayesian Ying-Yang learning based ICA models (22)
- Multisets mixture learning-based ellipse detection (22)
- Multisets modeling learning: an unified theory for supervised and unsupervised learning (21)
- Asymptotic convergence properties of the EM algorithm with respect to the overlap in the mixture (21)
- Scanning force microscope and vacuum chamber for the study of ice films: Design and first results (21)
- Codimensional matrix pairing perspective of BYY harmony learning: hierarchy of bilinear systems, joint decomposition of data-covariance, and applications of network biology (21)
- A theoretical investigation of several model selection criteria for dimensionality reduction (21)
- GMM-HMM acoustic model training by a two level procedure with Gaussian components determined by automatic model selection (21)
- Bayesian Ying Yang Learning (I): A Unified Perspective for Statistical Modeling (20)
- New Sharpe-ratio-related methods for portfolio selection (20)
- A comparative investigation on subspace dimension determination (19)
- Medical data mining model for oriental medicine via BYY Binary Independent Factor Analysis (19)
- Best harmony, unified RPCL and automated model selection for unsupervised and supervised learning on Gaussian mixtures, ME-RBF models and three-layer nets (19)
- Adaptive supervised learning decision networks for traders and portfolios (18)
- Bayesian Ying-Yang System and Theory as a Unified Statistical Learning Approach: (V) Temporal Modeling for Temporal Perception and Control (18)
- Bayesian Ying Yang System, Best Harmony Learning, and Gaussian Manifold Based Family (18)
- Independent Component Analysis and Extensions with Noise and Time: A Bayesian Ying-Yang Learning Perspective (18)
- Topological local principal component analysis (18)
- Large margin clustering on uncertain data by considering probability distribution similarity (18)
- An empirical method to select dominant independent components in ICA for time series analysis (18)
- Learning Algorithms for RBF Functions and Subspace Based Functions (17)
- Arbitrage pricing theory-based Gaussian temporal factor analysis for adaptive portfolio management (16)
- Mechanism of contact between a droplet and an atomically-smooth substrate (16)
- Electrohydrodynamic printing under applied pole-type nozzle configuration (16)
- Bayesian Ying Yang Learning (II): A New Mechanism for Model Selection and Regularization (16)
- A Trend on Regularization and Model Selection in Statistical Learning: A Bayesian Ying Yang Learning Perspective (16)
- Machine learning problems from optimization perspective (16)
- Some global and local convergence analysis on the information-theoretic independent component analysis approach (15)
- Canonical Dual Approach to Binary Factor Analysis (14)
- An Overview on Unsupervised Learning from Data Mining Perspective (14)
- Drying of complex suspensions. (14)
- New Insight into Gap Electrospinning: Toward Meter-long Aligned Nanofibers. (14)
- Eliminating cracking during drying (14)
- Adaptive Rival Penalized Competitive Learning and Combined Linear Predictor Model for Financial Forecast and Investment (14)
- A Barrier Function Method for the Nonconvex Quadratic Programming Problem with Box Constraints (13)
- Comparative Analysis on Convergence Rates of The EM Algorithm and Its Two Modifications for Gaussian Mixtures (13)
- A Further Result on the ICA One-Bit-Matching Conjecture (13)
- Further developments on RHT: basic mechanisms, algorithms, and computational complexities (13)
- Learning Gaussian mixture with automatic model selection: A comparative study on three Bayesian related approaches (13)
- Radar HRRP Statistical Recognition With Local Factor Analysis by Automatic Bayesian Ying-Yang Harmony Learning (13)
- Fundamentals, Challenges, and Advances of Statistical Learning for Knowledge Discovery and Problem Solving: A BYY Harmony Perspective (12)
- Bi-linear matrix-variate analyses, integrative hypothesis tests, and case-control studies (12)
- A binary matrix factorization algorithm for protein complex prediction (12)
- A RPCL-CLP architecture for financial time series forecasting (12)
- Convergence analysis of rival penalized competitive learning (RPCL) algorithm (12)
- Temporal Bayesian Ying-Yang dependence reduction, blind source separation and principal independent components (12)
- Discriminative training of GMM-HMM acoustic model by RPCL learning (12)
- One-Bit-Matching Theorem for ICA, Convex-Concave Programming on Polyhedral Set, and Distribution Approximation for Combinatorics (12)
- Bayesian Ying-Yang System and Theory as A Uni ed Statistical Learning Approach (II): From Unsupervised Learning to Supervised Learning and Temporal Modeling ? (12)
- Bayesian ying-yang theory for empirical learning, regularization and model selection: general formulation (12)
- A globally convergent Lagrange and barrier function iterative algorithm for the traveling salesman problem (12)
- Radar HRRP statistical recognition with temporal factor analysis by automatic Bayesian Ying-Yang harmony learning (11)
- Rival Penalized Competitive Learning Based Approach for Discrete-Valued Source Separation (11)
- Further advances on Bayesian Ying-Yang harmony learning (10)
- Parameterizations make different model selections: Empirical findings from factor analysis (10)
- New advances on Bayesian Ying-Yang learning system with Kullback and non-Kullback separation functionals (10)
- Application of adaptive RPCL-CLP with trading system to foreign exchange investment (10)
- A Lagrange Multiplier and Hopfield-Type Barrier Function Method for the Traveling Salesman Problem (10)
- Temporal BYY learning and its applications to extended Kalman filtering, hidden Markov model, and sensor-motor integration (10)
- Studies of Wetting and Capillary Phenomena at Nanometer Scale with Scanning Polarization Force Microscopy (10)
- A Uni ed Learning Framework Multisets Modeling Learning (10)
- Tribocharging phenomena in hard disk amorphous carbon coatings with and without perfluoropolyether lubricants (9)
- Data mining, unsupervised learning and Bayesian ying-yang theory (9)
- Adding Learned Expectation Into the Learning Procedure of Self-Organizing Maps (9)
- One-Bit-Matching ICA Theorem, Convex-Concave Programming, and Combinatorial Optimization (9)
- Investigations on non-Gaussian factor analysis (8)
- Control-based imputation for sensitivity analyses in informative censoring for recurrent event data. (8)
- Adaptive Rival Penalized Competitive Learning and Combined Linear Predictor with application to financial investment (8)
- An investigation of several typical model selection criteria for detecting the number of signals (8)
- Electrohydrodynamic direct-writing orderly pattern with sheath gas focusing (8)
- Local Factor Analysis with Automatic Model Selection: A Comparative Study and Digits Recognition Application (8)
- On Radial Basis Function Net and Kernel Regression: Approximation Ability, Convergence Rate and Receptive Field Size (8)
- A graph matching algorithm based on concavely regularized convex relaxation (8)
- Bayesian Self-Organization Driven by Prior Probability Distributions (8)
- Diffusion-Dominated Pinch-Off of Ultralow Surface Tension Fluids. (8)
- Instability development of a viscous liquid drop impacting a smooth substrate. (8)
- An application of independent component analysis in the arbitrage pricing theory (7)
- An RPCL-based approach for Markov model identification with unknown state number (7)
- BKYY Three Layer Net Learning, EM-Like Algorithm, and Selection Criterion for Hidden Unit Number (7)
- Emergence of Droplets at the Nonequilibrium All-Aqueous Interface in a Vertical Hele-Shaw Cell. (7)
- Learning Multiple Causes by Competition Enhanced least mean Square error Reconstruction (7)
- Probing the Role of Mobility in the Collective Motion of Nonequilibrium Systems. (7)
- BKYY dimension reduction and determination (7)
- Bayesian Ying Yang System and Theory as A Uni ed Statistical Learning Approach III Models and Algorithms for Dependence Reduction Data Dimension Reduction ICA and Supervised Learning (7)
- A STATISTICAL APPROACH TO TESTING MUTUAL INDEPENDENCE OF ICA RECOVERED SOURCES (7)
- Theoretical Analysis and Comparison of Several Criteria on Linear Model Dimension Reduction (7)
- BYY data smoothing based learning on a small size of samples (6)
- Thickness and drainage of perfluoropolyethers under compression (6)
- Bayesian Ying-Yang system and theory as a unified statistical learning approach. IV. Further advances (6)
- 2D → 3D conversion of superwetting mesh: A simple but powerful strategy for effective and efficient oil/water separation (6)
- Distance-Based Feature Selection on Classification of Uncertain Objects (6)
- Projection-embedded BYY learning algorithm for Gaussian mixture-based clustering (6)
- Bayesian Self-Organization (6)
- Atomic force microscope imaging of ribosome and chromosome (6)
- Bayesian Ying-Yang harmony learning, information theory and information geometry (6)
- Mining Dependence Structures from Statistical Learning Perspective (6)
- A study of several model selection criteria for determining the number of signals (6)
- Bayesian Ying Yang Learning ( II ) : A New Mechanism for Model Selection and Regularization (6)
- A heuristic approach to effective and efficient clustering on uncertain objects (6)
- Integrative Hypothesis Test and A5 Formulation: Sample Pairing Delta, Case Control Study, and Boundary Based Statistics (6)
- BSMART: A Matlab/C (6)
- A binary matrix factorization algorithm for protein complex prediction (6)
- Machine learning and intelligence science: Sino-foreign interchange workshop IScIDE2010 (A) (6)
- A Comparative Investigation on Model Selection in Independent Factor Analysis (5)
- A Unifled Learning Framework: Multisets Modeling Learning 1 (5)
- Best Harmony Learning (5)
- Learning local factor analysis versus mixture of factor analyzers with automatic model selection (5)
- Correction to "dual multivariate auto-regressive modeling in state space for temporal signal separation" (5)
- Distribution approximation, combinatorial optimization, and Lagrange-Barrier (5)
- Rheology behaviors of stable electrohydrodynamic direct-write jet (5)
- Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing (5)
- Fabrication of micro-patterns via near-field electrospray (5)
- Independent Subspaces (5)
- Bayesian ying-yang supervised learning, modular models, and three layer nets (5)
- Temporal factor analysis (TFA): stable-identifiable family, orthogonal flow learning, and automated model selection (5)
- A Dual Structural Radial Basis Function Network for Recursive Function Estimation (5)
- An adaptive BYY harmony learning algorithm and its relation to rewarding and penalizing competitive learning mechanism (5)
- Improving classification accuracy on uncertain data by considering multiple subclasses (5)
- Data-smoothing regularization, normalization regularization, and competition-penalty mechanism for statistical learning and multi-agents (5)
- Semi-blind bilinear matrix system, BYY harmony learning, and gene analysis applications (5)
- A comparative study of Gaussian TFA learning and statistical tests on the factor number in APT (5)
- Robust PCA learning rules based on statistical physics approach (5)
- Channel equalization by finite mixtures and the EM algorithm (5)
- Application of Mixture of Experts Model To Financial Time Series Forecasting (5)
- Piezoelectric sliding–pushing micropositioner in a scanning tunneling microscope (4)
- Optimizing Financial Portfolios from the Perspective of Mining Temporal Structures of Stock Returns (4)
- Learning binary factor analysis with automatic model selection (4)
- Application of adaptive RPCL-CLP with trading system to foreign exchange investment (4)
- Transcription Network Analysis by A Sparse Binary Factor Analysis Algorithm (4)
- 2002 Special Issue BYY harmony learning, structural RPCL, and topological self-organizing on mixture models q (4)
- BYY dependence reduction theory and blind source separation (4)
- The MSE reconstruction criterion for independent component ordering in ICA timeseries analysis (4)
- Empirical Comparison between Two Computational Strategies for Topological Self-Organization (4)
- Matrix-Variate Discriminative Analysis, Integrative Hypothesis Testing, and Geno-Pheno A5 Analyzer (4)
- An adaptive optimal monthly peak building demand limiting strategy considering load uncertainty (4)
- Region number determination in automatic image segmentation based on BKYY model selection criterion (4)
- An MPC-Based Optimal Control Strategy of Active Thermal Storage in Commercial Buildings during Fast Demand Response Events in Smart Grids (4)
- Direct fabrication of polymer nanofiber membrane for piezoelectric vibration sensor (4)
- Further studies on temporal factor analysis: comparison and Kalman filter-based algorithm (4)
- Scanning tunneling microscopy observations of recorded organic thin films (4)
- Local PCA for Strip Line Detection and Thinning (4)
- An annealing approach to BYY harmony learning on Gaussian mixture with automated model selection (4)
- Rival Penalized Competitive Learning Based Separator on Binary Sources Separation (3)
- Electroencephalogram Based Brain-Computer Interface: Key Techniques and Application Prospect (3)
- Emerging themes on information theory and Bayesian approach (3)
- An experimental comparative study on several soft and hard-cut EM algorithms for mixture of experts (3)
- Extremely slow settling behavior of particles in dilute wormlike micellar fluid with broad spectrum of relaxation times (3)
- Bayesian Spatial Modeling of fMRI Data: A Multiple Subject Analysis. (3)
- Investigation on Multisets Mixture Learning Based Object Detection (3)
- BYY harmony learning, local independent analyses, and APT financial applications (3)
- Application of Microfluidics in Wearable Devices (3)
- Successful conservative treatment of intestinal perforation in VLBW and ELBW neonates: a single centre case series and review of the literature (3)
- A5 problem solving paradigm: a unified perspective and new results on RHT computing, mixture based learning, and evidence combination (3)
- Recent advances on techniques and theories of feedforward networks with supervised learning (3)
- Relationship between mixture of experts and ensemble neural networks (3)
- Trading mechanisms and return volatility: empirical investigation on Shanghai Stock Exchange based on a neural network model (3)
- Current characteristics of stable cone–jet in electrohydrodynamic printing process (3)
- An iterative algorithm for BYY learning on Gaussian mixture with automated model selection (3)
- Stock Price and Index Forecasting by Arbitrage Pricing Theory-Based Gaussian TFA Learning (3)
- Automatic Cluster Number Determination via BYY Harmony Learning (3)
- Further improvement of adaptive supervised learning decision (ASLD) network in stock market (2)
- Local Separation Property of the Two-Source ICA Problem with the One-Bit-Matching Condition (2)
- Machine learning and causal analyses for modeling financial and economic data (2)
- A Unified Perspective on Advances of Independent Subspaces: Basic, Temporal, and Local Structures (2)
- Cointegration by MCA and modular MCA (2)
- Modeling macroeconomic indexes from S&P 500 stocks via arbitrage pricing theory and temporary factor analysis (2)
- On the study of BKYY cluster number selection criterion for small sample data set with bootstrap technique (2)
- Guest Editorial Special Issue on Information Theoretic Learning (2)
- A Hybrid TS-SVM Model for Evaluation of Lake Eutrophication (2)
- An experimental comparison of the Bayesian Ying-Yang criteria and cross validation for selection on number of hidden units in feedforward networks (2)
- Comparative Investigation on Dimension Reduction and Regression in Three Layer Feed-Forward Neural Network (2)
- Errata to "BYY harmony learning, independent state space, and generalized apt financial analyses" (2)
- Further study of adaptive supervised learning decision (ASLD) network in stock market (2)
- A non-Gaussian factor analysis approach to transcription Network Component Analysis (1)
- NFA FOR FACTOR NUMBER DETERMINATION IN APT (1)
- New Mechanism for Model Selection and Regularization (1)
- Comparative studies on multivariate tests for joint-SNVs analysis and detection for bipolar disorder susceptibility genes (1)
- Discriminative GMM-HMM Acoustic Model Selection Using Two-Level Bayesian Ying-Yang Harmony Learning (1)
- Bayesian Ying Yang Learning ( I ) : A Unified Perspective for Statistical Modeling (1)
- Adaptive RBF net algorithms for nonlinear signal learning with applications to financial prediction and investment (1)
- BYY binary independent systems, unsupervised harmony learning, and data mining of production rules (1)
- Special issue on information theoretic learning. (1)
- Financial APT-Based Gaussian TFA Learning for Adaptive Portfolio Management (1)
- AdaUK-Means: An Ensemble Boosting Clustering Algorithm on Uncertain Objects (1)
- White Noise Tests and Synthesis of APT Economic Factors Using TFA (1)
- A comparative study of RPCL and MCE based discriminative training methods for LVCSR (1)
- A Heuristic on Effective and Efficient Clustering on Uncertain Objects (1)
- Gene clustering by structural prior based local factor analysis model under Bayesian Ying-Yang harmony learning (1)
- Covariate adjustment in partial least squares (PLS) regression for the extraction of the spatial–temporal pattern from positron emission tomography data (1)
- An Experimental Comparison of the Bayesian Ying-Yang Criteria and Cross Validation on Experts Number Selection in Original and Alternative Model for Mixture of Experts (1)
- Automatic model selection on local gaussian structures with priors: comparative investigations and applications (1)
- Stimulant-Induced Spatial Temporal Patterns in Pet Data : Illustrations Using SPM, Manacova-CVA and PLS (1)
- On generalized arbitrage pricing theory analysis: empirical investigation of the macroeconomics modulated independent state-space model (1)
- A Comparative Study on Selection of Cluster Number and Local Subspace Dimension in the Mixture PCA Models (1)
- Corrigendum to "BYY learning, regularized implementation, and model selection on modular networks with one hidden layer of binary units" [Neurocomputing 51 (2003) 277-301] (1)
- Bootstrapping integrative hypothesis test for identifying biomarkers that differentiates lung cancer and chronic obstructive pulmonary disease (1)
- TESTS OF GAUSSIAN TEMPORAL FACTOR LOADINGS IN FINANCIAL APT (1)
- Local subspace analysis for astronomical object detection and star/galaxy classification (1)
- A universal state and its relaxation mechanisms of long-range interacting polygons (1)
- STOCK FORECASTING BY ARCH DRIVEN GAUSSIAN TFA AND ALTERNATIVE MIXTURE-OF-EXPERTS MODELS (1)
- Cross Random Effects Model Analysis for Residents' Income Influence Factor (0)
- Local Factor Analysis with Automatic Model Selection and Data Smoothing Based Regularization (0)
- Statistical learning and testing approaches for temporal dependence structures with application to financial engineering (0)
- Statistical Learning for Dependence Mining and Problem Solving: Fundamentals, Challenges, and a Unified Theory (0)
- Formation of suspending beads-on-a-string structure in electrohydrodynamic printing process (0)
- A ug 2 01 0 Instability development of a viscous liquid drop impacting a smooth substrate (0)
- Modeling Disease Progression via Weakly Supervised Temporal Multitask Matrix Completion (0)
- Electric Field of the Tip-Plane Electrode Configuration in Electrohydrodynamic Printing (0)
- MTLH: Video QoE Monitoring for Encrypted Traffic via Multi-Task Learning with Hierarchy (0)
- Number of statistical independent factors in arbitrage pricing theory from the perspective of non-Gaussian factor analysis (0)
- Fabrication of Uniform Patterns via Constant-Current Electrohydrodynamic Printing (0)
- Tri-Structured-Sparsity Induced Joint Feature Selection and Classification for Hybrid Noise Resilient Multilabel Learning (0)
- An ICA algorithm with adaptive-learned polynomial nonlinearity for signal separation (0)
- Studying the low-frequency quasilocalized modes in disordered colloidal systems (0)
- 2004 Special Issue A comparative investigation on subspace dimension determination (0)
- A Video Structural Event Description Model for Traffic Surveillance System (0)
- Local Factor Analysis with Automatic Model Selection : A Comparative Study and Digits Recognition Application (0)
- Rethinking the Lintnerian Linear Valuation Model (0)
- Application of Bayesian Ying-Yang criteria for selecting the number of hidden units with backpropagation learning to electrocardiogram classification (0)
- Clustering and classification on uncertain data (0)
- Some results on L/sub 1/ convergence rate of RBF networks and kernel regression estimators (0)
- Transcription network analysis by a sparse binary factor analysis algorithm. (0)
- Autoregressive signal separation approach with seesaw-mapping technique on temporal source separation (0)
- Model Selection and Automatic Model Selection for Statistical Learning : A Comparative Study on Local Factor Analysis (0)
- A Weight Regularized Relaxation Based Graph Matching Algorithm (0)
- Improving Classification Accuracy on Uncertain Data by Considering Multiple Subclasses (0)
- Air Entrapment for Liquid Drops Impacting a Solid Substrate (0)
- On L/sub 2/ convergence rates of radial basis function networks and kernel regression estimators (0)
- The role of drop shape in impact and splash (0)
- Spatial point process modelling of group fMRI data analysis (0)
- Learning Algorithms for RBF Functions and Subspace (0)
- A Robust PCA by LMSER Learning with Iterative Error Reinforcement (0)
- Improved Hybrid Taboo Search with its Application in Computer-Aided Optimization Problem (0)
- A Performance Evaluation of Printing RFID Tags (0)
- Electrohydrodynamic Printing of Conductive Patterns on Glass Slides (0)
- Wetting, Confinement, and Drainage of Liquids (0)
- Drop expansion driven by bubbling on microscale patterned substrates under low air pressure (0)
- Quantitive analysis on papers of Computer Integrated Manufacturing Systems (0)
- A proactive-adaptive monthly peak demand-limiting strategy for buildings with small-scale thermal storages considering load uncertainty (0)
- Automatic oriental medical diagnosis via BYY learning based discrete independent factor analysis (0)
- Machine learning and intelligence science: IScIDE (C) (0)
- Speaker Identification by BYY Automatic Local Factor Analysis based Three-Level Voting Combination (0)
- Discriminative training of GMM-HMM acoustic model by RPCL type Bayesian Ying-Yang harmony learning (0)
- A Comparative Study on Lagrange Ying-Yang Alternation Method in Gaussian Mixture-Based Clustering (0)
- FUZZY METHOD FOR FAILURE CRITICALITY ANALYSIS (0)
- Bayesian Ying-Yang Learning on Orthogonal Binary Factor Analysis (0)
- A Probability Theory Perspective on the Zadeh Fuzzy System (0)
- Investigation on bayesian ying-yang learning for model selection in unsupervised learning (0)
- Fast crystal growth at ultra-low temperatures (0)
- The probability distribution of parameters learned with the EM algorithm (0)
- Theoretical Analysis of the One-Bit-of-Information Conjecture for Independent Component Analysis (0)
- A hierarchical spatial Bayesian model for multisubjectfunctional MRI data (0)
- INDEPENDENT COMPONENT ANALYSIS: THE ONE-BIT-MATCHING CONJECTURE AND A SIMPLIFIED LPM-ICA ALGORITHM (0)
- Adaptive improved portfolio Sharpe ratio maximization with diversification (0)
- An Estimation of Resonant Frequency of a Curving RFID Tag (0)
- 2 Independent Binary Factor Model via BYY harmony learning 2 . 1 Independent Binary Factor (0)
- Stresses dominate pulsated electrohydrodynamic spraying modes in near field (0)
- Adaptive optimal monthly peak building demand limiting strategy based on exploration-exploitation tradeoff (0)
- A Comparative Study on Data Smoothing Regularization for Local Factor Analysis (0)
- Chapter 3 Learning Algorithms for RBF Functions and Subspace Based Functions (0)
- Combining Classifiers and Learning Mixture-of-Experts (0)
- Some further studies on detection the number of clusters (0)
- Topological local principal component analysis (0)
- Understanding the Low-Frequency Modes in Disordered Systems at Single-Particle Level (0)
- Least Mean Square Error Reconstruction Learning in Recurrent Network (0)
- On L/sub 1/ convergence rate of RBF networks and kernel regression estimators with applications in classification (0)
- Robust Sparse Low-rank Hypergraph Learning under Complex Noise (0)
- Fe b 20 13 Coalescence of Pickering emulsion droplets induced by electric-field (0)
- White Noise Tests and APT Economic Factor Syntheses Using Temporal Factor Analysis (0)
- Image denoising, local factor analysis, Bayesian Ying-Yang harmony learning (0)

This paper list is powered by the following services:

Lei Xu is affiliated with the following schools:

- Concordia University
- University of California, Berkeley
- LUT University
- University of Chicago
- Harvard University
- Hong Kong Polytechnic University
- Peking University
- University of Science and Technology of China
- Xiamen University
- Chinese University of Hong Kong
- University of Pittsburgh
- Chengdu University of Information Technology
- Jingdezhen Ceramic Institute

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