Hamid. Krim
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(Suggest an Edit or Addition)Hamid. Krim's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Two decades of array signal processing research: the parametric approach (1996) (4167)
- Time-invariant orthonormal wavelet representations (1996) (450)
- A Shearlet Approach to Edge Analysis and Detection (2009) (340)
- On denoising and best signal representation (1999) (231)
- Image denoising: a nonlinear robust statistical approach (2001) (194)
- A generalized divergence measure for robust image registration (2003) (178)
- Image segmentation and edge enhancement with stabilized inverse diffusion equations (2000) (153)
- Two Decades of Array Signal Processing (1997) (147)
- Multiscale segmentation and anomaly enhancement of SAR imagery (1996) (147)
- Operator approach to performance analysis of root-MUSIC and root-min-norm (1992) (125)
- A multiscale approach to pixel-level image fusion (2005) (107)
- Persistent Homology of Delay Embeddings and its Application to Wheeze Detection (2014) (104)
- Geodesic Object Representation and Recognition (2003) (97)
- Minimax Description Length for Signal Denoising and Optimized Representation (1999) (87)
- Object representation and recognition in shape spaces (2003) (80)
- Information-Theoretic Active Polygons for Unsupervised Texture Segmentation (2005) (78)
- On the Statistics of Best Bases Criteria (1995) (76)
- Bayesian approach to best basis selection (1996) (71)
- Unifying probabilistic and variational estimation (2002) (67)
- Geodesic matching of triangulated surfaces (2006) (66)
- Multiresolution analysis of a class of nonstationary processes (1995) (64)
- Statistics and Analysis of Shapes (2006) (64)
- An entropy-based persistence barcode (2015) (60)
- Fast minimization of structural risk by nearest neighbor rule (2003) (60)
- The decentralized estimation of the sample covariance (2008) (55)
- Deep Dictionary Learning: A PARametric NETwork Approach (2018) (49)
- Hierarchical stochastic modeling of SAR imagery for segmentation/compression (1999) (48)
- Best basis algorithm for signal enhancement (1995) (42)
- Simplifying the homology of networks via strong collapses (2013) (41)
- 3D Face Recognition using Euclidean Integral Invariants Signature (2007) (40)
- Jensen-renyi divergence measure: theoretical and computational perspectives (2003) (39)
- An information divergence measure for ISAR image registration (2001) (38)
- A Variational Approach to Maximum a Posteriori Estimation for Image Denoising (2001) (36)
- Fusing Heterogeneous Data: A Case for Remote Sensing and Social Media (2018) (35)
- Divide and Conquer: Localizing Coverage Holes in Sensor Networks (2010) (33)
- A Generalized Markov Graph Model: Application to Social Network Analysis (2013) (32)
- Edge detection and processing using shearlets (2008) (32)
- Image Registration and Segmentation by Maximizing the Jensen-Rényi Divergence (2003) (31)
- Smoothed eigenspace-based parameter estimation (1994) (31)
- Facial feature extraction using topological methods (2003) (30)
- Geometric Methods in Signal and Image Analysis (2015) (29)
- Stochastic differential equations and geometric flows (2002) (29)
- Best Basis Representations with Prior Statistical Models (1999) (28)
- Rotation invariant topology coding of 2D and 3D objects using Morse theory (2005) (28)
- Classification of Curves in 2D and 3D via Affine Integral Signatures (2008) (28)
- Information Diffusion of Topic Propagation in Social Media (2016) (28)
- Smart nonlinear diffusion: a probabilistic approach (2004) (28)
- Object Recognition Through Topo-Geometric Shape Models Using Error-Tolerant Subgraph Isomorphisms (2010) (27)
- Fast incorporation of optical flow into active polygons (2005) (26)
- Squigraphs for Fine and Compact Modeling of 3-D Shapes (2010) (24)
- Cross-Modality Distillation: A Case for Conditional Generative Adversarial Networks (2018) (23)
- Analysis Dictionary Learning Based Classification: Structure for Robustness (2018) (23)
- Distributed Localization of Coverage Holes Using Topological Persistence (2014) (23)
- Discovering the Whole by the Coarse: A topological paradigm for data analysis (2016) (21)
- Towards Bridging Scale-Space and Multiscale Frame Analyses (2001) (21)
- Sensor array signal processing : two decades later (1995) (20)
- Estimation of noisy signals using time-invariant wavelet packets (1993) (20)
- BI-sparsity pursuit for robust subspace recovery (2015) (20)
- Real time detection of harmonic structure: A case for topological signal analysis (2014) (19)
- An active contour model for image segmentation: A variational perspective (2002) (19)
- A data-based enumeration technique for fully correlated signals (1994) (19)
- Sparse Generative Adversarial Network (2019) (19)
- Statistical Analysis of the Global Geodesic Function for 3D Object Classification (2007) (19)
- A smart stochastic approach for manifolds smoothing (2008) (19)
- Node Dominance: Revealing Community and Core-Periphery Structure in Social Networks (2015) (18)
- Scale Space Analysis by Stabilized Inverse Diffusion Equations (1997) (18)
- Anomaly Detection in Moving-Camera Video Sequences Using Principal Subspace Analysis (2018) (18)
- Feature-based segmentation of ECG signals (1996) (17)
- An Independent Component Analysis Approach for Minimizing Effects of Recirculation in Dynamic Susceptibility Contrast Magnetic Resonance Imaging (2007) (17)
- Computing persistent features in big data: A distributed dimension reduction approach (2014) (17)
- Statistical classification of social networks (2012) (17)
- On the distributions of optimized multiscale representations (1997) (17)
- Statistics and Analysis of Shapes (Modeling and Simulation in Science, Engineering and Technology) (2005) (17)
- Image Registration and Segmentation (2003) (16)
- Robust independent component analysis (2005) (15)
- Multiphase Joint Segmentation-Registration and Object Tracking for Layered Images (2010) (15)
- Structured Analysis Dictionary Learning for Image Classification (2018) (14)
- Geometric modeling of rigid and non-rigid 3D shapes using the global geodesic function (2008) (14)
- Applied topology in static and dynamic sensor networks (2012) (13)
- 3D Face Recognition Using Affine Integral Invariants (2006) (13)
- Invariant object recognition by shape space analysis (1998) (13)
- On the detection of abandoned objects with a moving camera using robust subspace recovery and sparse representation (2015) (13)
- Decision Level Fusion: An Event Driven Approach (2018) (13)
- Brain MRI T1-Map and T1-weighted image segmentation in a variational framework (2009) (13)
- Renyi entropy based divergence measures for ICA (2004) (12)
- Analysis of PTCA-induced ischemia using an ECG inverse solution or the wavelet transform. (1994) (12)
- A stochastic diffusion approach to signal denoising (1999) (12)
- Robust Subspace Recovery via Bi-Sparsity Pursuit (2018) (12)
- An estimation-theoretic technique for motion-compensated synthetic-aperture array imaging (1998) (12)
- Robust wavelet thresholding for noise suppression (1997) (12)
- Projections on unstructured subspaces (1996) (11)
- Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks (2020) (11)
- Probabilistic shape descriptor for triangulated surfaces (2005) (11)
- 3D face recognition based on evolution of iso-geodesic distance curves (2010) (11)
- A distributed collapse of a network's dimensionality (2013) (11)
- A Novel Framework for Pulse Pressure Wave Analysis Using Persistent Homology (2015) (11)
- Abandoned object detection using operator-space pursuit (2015) (11)
- 3D object representation with topo-geometric shape models (2005) (10)
- Robust multiscale representation of processes and optimal signal reconstruction (1994) (10)
- Analysis and Control of Beliefs in Social Networks (2014) (10)
- A vertex-based representation of objects in an image (2002) (10)
- 3D Surface Reconstruction Using Structured Circular Light Patterns (2010) (10)
- Flexible Skew-Symmetric Shape Model for Shape Representation, Classification, and Sampling (2007) (10)
- Probabilistic graph matching by canonical decomposition (2008) (10)
- Analysis Dictionary Learning: an Efficient and Discriminative Solution (2019) (10)
- Optimal Operator Space Pursuit: A Framework for Video Sequence Data Analysis (2012) (9)
- Nonlinear diffusion: A probabilistic view (1999) (9)
- Human Activity as a Manifold-Valued Random Process (2012) (9)
- AOGNets: Deep AND-OR Grammar Networks for Visual Recognition (2017) (9)
- Human Activity Modeling as Brownian Motion on Shape Manifold (2011) (9)
- A topological collapse for document summarization (2016) (9)
- Coordinate-free quantification of coverage in dynamic sensor networks (2014) (9)
- Two decades of statistical array processing (1997) (9)
- Wheeze Detection and Location using Spectro-temporal Analysis of Lung Sounds (2013) (9)
- Image classification: A hierarchical dictionary learning approach (2017) (9)
- Analysis dictionary learning for scene classification (2016) (8)
- Joint Brain Parametric T1-Map Segmentation and RF Inhomogeneity Calibration (2009) (8)
- A nonlinear diffusion-based three-band filter bank (2003) (8)
- Sparsity and Nullity: Paradigms for Analysis Dictionary Learning (2016) (8)
- Community Detection and Improved Detectability in Multiplex Networks (2019) (8)
- Analysis of changes in body surface potentials during PTCA-induced ischemia using the temporal wavelet transform (1994) (7)
- Best basis segmentation of ECG signals using novel optimality criteria (1996) (7)
- Robust Multi-Modal Sensor Fusion: An Adversarial Approach (2020) (7)
- A nonlinear diffusion equation as a fast and optimal solver of edge detection problems (1999) (7)
- Meaningful 3D shape partitioning using Morse functions (2009) (7)
- Mathematical methods in imaging (2002) (7)
- A Nonlinear Entropic Variational Model for Image Filtering (2004) (7)
- Sparse null space basis pursuit and analysis dictionary learning for high-dimensional data analysis (2015) (7)
- Egeria: A Framework for Automatic Synthesis of HPC Advising Tools through Multi-Layered Natural Language Processing (2017) (7)
- A Sampling Theorem for a 2D Surface (2011) (7)
- A topological variational model for image singularities (2002) (7)
- Event Driven Fusion (2019) (6)
- Introduction to Special Issue on Mutliscale Statistical Signal Analysis and Its Application (1999) (6)
- Segmentation and compression of SAR imagery via hierarchical stochastic modeling (1997) (6)
- Introduction to the special session on Topological Data Analysis, ICASSP 2016 (2016) (6)
- Persistent Homology of Delay Embeddings (2013) (6)
- Curve and polygon evolution techniques for image processing (2002) (6)
- Wavelet-based temporal segmentation and analysis of body surface potential maps during PTCA-induced ischemia (1995) (6)
- Feature-preserving flows: a stochastic differential equation's view (2000) (6)
- Emergence of core-periphery structure from local node dominance in social networks (2015) (6)
- 3D face recognition in the Fourier domain using deformed circular curves (2017) (6)
- Robust Subspace Recovery via Dual Sparsity Pursuit (2014) (6)
- Temporal and spatial analysis of potential maps via multiresolution decompositions. (1996) (6)
- Nonlinear frame-like decompositions (1998) (6)
- Atlantic Hurricane Activity Prediction: A Machine Learning Approach (2021) (6)
- A Probabilistic Approach of Space Objects Detection from Non-Resolved Optical Observation (2013) (5)
- Detection of abandoned objects using robust subspace recovery with intrinsic video alignment (2017) (5)
- Bi-sparsity pursuit: A paradigm for robust subspace recovery (2018) (5)
- On Sampling Closed Planar Curves and Surfaces (2003) (5)
- Information Subspace-Based Fusion for Vehicle Classification (2018) (5)
- Performance analysis of smoothed subspace-based estimation methods (1991) (5)
- Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition (2019) (5)
- Data fusion of SSM/I channels using multiresolution wavelet transform (2002) (5)
- Active polygon for object tracking (2002) (5)
- Active Polygons for Object Tracking (2002) (5)
- Distributed boundary tracking using alpha and Delaunay-Cech shapes (2013) (5)
- Robust detection of periodic patterns in gene expression microarray data using topological signal analysis (2014) (5)
- On spatial smoothing and linear prediction (1990) (5)
- Detection and tracking of systematic time-evolving failures in sensor networks (2011) (5)
- Multiscale signal enhancement: beyond the normality and independence assumption (2002) (4)
- Tracking nonstationarities with a wavelet transform (1993) (4)
- Deep Transform and Metric Learning Networks (2021) (4)
- Topological modeling of illuminated surfaces using Reeb graph (2003) (4)
- Bridging scale-space to multiscale frame analyses (2001) (4)
- Spatio-temporal wavelet analysis of body surface potential maps during PTCA-induced ischemia (1994) (4)
- Topological Fidelity in Sensor Networks (2011) (4)
- Adaptive tracking of representative cycles in regular and zigzag persistent homology (2014) (4)
- Spectral estimation in highly transient data (2015) (4)
- Dynamic Graph Learning: A Structure-Driven Approach (2021) (4)
- Stabilized inverse diffusion equations and segmentation of vector-valued images (1998) (4)
- Multiresolution models for random fields and their use in statistical image processing (1994) (4)
- Reuse-Centric K-Means Configuration (2018) (3)
- 3D object recognition using fully intrinsic skeletal graphs (2008) (3)
- On sampling planar curves (2001) (3)
- Nonlinear Multi-scale Super-resolution Using Deep Learning (2019) (3)
- Global Optimization by Adapted Diffusion (2010) (3)
- Towards a unified view of estimation: variational vs. statistical (2001) (3)
- Segmentation and compression of SAR imagery via hierarchical stochastic modeling (2000) (3)
- Dynamic Graph Learning Based on Graph Laplacian (2020) (3)
- 2D Shape Modeling using Skeletal Graphs in a Morse Theoretic Framework (2006) (3)
- Real-time multiple DOA estimation of speech sources in wireless acoustic sensor networks (2015) (3)
- Pansharpening via coupled triple factorization dictionary learning (2016) (3)
- Distributed computation of homology using harmonics (2013) (3)
- Parameterization models for sampling planar curves (2002) (3)
- Effective Connectivity-Based Neural Decoding: A Causal Interaction-Driven Approach (2016) (3)
- Towards Minimal Barcodes (2013) (3)
- An Automatic Synthesizer of Advising Tools for High Performance Computing (2021) (3)
- A scaled, performance driven evaluation of the layered-sensing framework utilizing polarimetric infrared imagery (2011) (3)
- Deep Adversarial Belief Networks (2019) (3)
- Latent Code-Based Fusion: A Volterra Neural Network Approach (2021) (3)
- 3D curve interpolation and object reconstruction (2005) (3)
- Control and prediction of beliefs on social network (2013) (3)
- Nonlinear image filtering in a mixture of Gaussian and heavy-tailed noise (2001) (2)
- Examination of wavelet packet signal sets for over-saturated multiple access communications (1996) (2)
- Capturing human activity by a curve (2009) (2)
- 3D Mixed Invariant and its Application on Object Classification (2007) (2)
- A Subspace Learning of Dynamics on a Shape Manifold: A Generative Modeling Approach (2013) (2)
- Nonlinear image filtering: trade-off between optimality and practicality (2001) (2)
- Fusion of Community Structures in Multiplex Networks by Label Constraints (2018) (2)
- Commuting Conditional GANS for Multi-Modal Fusion (2020) (2)
- Robust Subspace Clustering for Radar Detection (2018) (2)
- Subspace Learning of Dynamics on a Shape Manifold: A Generative Modeling Approach (2014) (2)
- Beyond union of subspaces: Subspace pursuit on Grassmann manifold for data representation (2016) (2)
- Levy processes for image modeling (1999) (2)
- Multiscale detection of nonstationary signals (1992) (2)
- An information theoretic approach for speech source enumeration (2013) (2)
- Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion (2020) (2)
- A stochastic diffusion approach to signal denoising (2000) (2)
- Compression and transmission of facial images over very narrowband wireless channels (2003) (2)
- Robust influence functionals for image filtering (2003) (2)
- Robustness and expression independence in 3D face recognition (2011) (2)
- Wavelets: A Multiscale Analysis Tool (2003) (1)
- Generative Information Fusion (2021) (1)
- An independent component analysis approach to perfusion weighted imaging (2005) (1)
- Event driven sensor fusion (2021) (1)
- Estimation of 3D Geometry Using Multi-View and Structured Circular Light System (2014) (1)
- Efficient Incorporation of Optical Flow into Visual Motion Estimation in Tracking (2005) (1)
- Model-free inference of neuronal connectivity via embedding dimensionality (2018) (1)
- Convergence study of an iterative joint detector for wavelet packet multiple-access communication (1994) (1)
- System input–output theoretic three-dimensional measurement based on circular-shaped structured light patterns (2017) (1)
- A behavior-based evaluation of product quality (2016) (1)
- Multi-level scene understanding via hierarchical classification (2014) (1)
- Applications of LWIR Polarimetric Video From a Low-flying Platform (2013) (1)
- Joint Concept Matching based Learning for Zero-Shot Recognition (2019) (1)
- Discovering Urban Functional Zones By Latent Fusion of Users GPS Data and Points of Interests (2020) (1)
- Mahalanobis-based Adaptive Nonlinear Dimension Reduction (2010) (1)
- Human Activity Modeling on Shape Manifold (2011) (1)
- A invertible dimension reduction of curves on a manifold (2011) (1)
- Vehicle tracking through the exploitation of remote sensing and LWIR polarization science (2011) (1)
- Further results on smoothed reduced rank subspaces (1992) (1)
- Regularity properties of Haar Frames (2021) (1)
- Refining Self-Supervised Learning in Imaging: Beyond Linear Metric (2022) (1)
- A model-free causality measure based on multi-variate delay embedding (2017) (1)
- Integral invariants for 3D curves: an inductive approach (2007) (1)
- Geometric and differential topology of manifolds (2015) (1)
- Discrete Multi-Scale Transforms in Signal Processing (2014) (1)
- Graph-based 3D object classification (2006) (1)
- Resolution Enhancement of Spaceborne Radiometer Images (2001) (1)
- Fast OT for Latent Domain Adaptation (2022) (1)
- An Ordered Robust Subspace Recovery Approach for Temporal Segmentation of Blood Glucose Measurements (2016) (1)
- An Independent Component Analysis Approach for Removing Recirculation in Perfusion Weighted Images (2005) (1)
- Robust Subspace Clustering by Bi-Sparsity Pursuit: Guarantees and Sequential Algorithm (2018) (1)
- Metric Driven Classification: A Non-Parametric Approach Based on the Henze–Penrose Test Statistic (2018) (1)
- Intracranial vascular transfer function in acute stroke patients (2005) (0)
- An Information Theoretic Persistent Barcode (2014) (0)
- Distributed Shape Analysis using Alpha and Delaunay-Čech shapes (2013) (0)
- Nmr Signal Processing with Wavelet Denoising (0)
- Topological Modeling and Stochastic Analysis of Images (2004) (0)
- ESTIMATION OF NOISY SIGNALS USING (1993) (0)
- A Matched-filter Method for Motion-compensated Spotlight-mode Sar Processing (2007) (0)
- SCALE-BASED ROBUST IMAGE SEGMENTATION (2006) (0)
- Multiresolution analysis of PTCA isopotential maps (1994) (0)
- Multi-modal image fusion using window-based ICA and fractal dimension (2010) (0)
- SAR self-enhanced by electro-optical network (SARSEEN) (2022) (0)
- DEEP DICTIONARY LEARNING: SYNERGIZING RECONSTRUCTION AND CLASSIFICATION (2018) (0)
- Determining canonical views of 3D object using minimum description length criterion and compressive sensing method (2008) (0)
- A stochastic flow for feature extraction (2000) (0)
- A novel unsupervised initial pattern recognition algorithm based on wavelet transform and window selection (2003) (0)
- Non-parametric bounds on the nearest neighbor classification accuracy based on the Henze-Penrose metric (2016) (0)
- Bi-Sparsity Pursuit : A Paradigm for RobustSubspace Recovery Report (2016) (0)
- Determination of a Sampling Criterion for 3D Reconstruction (2017) (0)
- Robust Wavelet Thresholding for Noise Suppression Robust Wavelet Thresholding for Noise Suppression (0)
- Geometric Methods in Signal and Image Analysis: Vector spaces (2015) (0)
- Object tracking in IR image sequences (2003) (0)
- Information Fusion: Scaling Subspace-Driven Approaches (2022) (0)
- Parsimony and wavelet methods for denoising (1998) (0)
- Bridging nonlinear diffusion and multiscale analyses (2000) (0)
- A New Approach to Global Optimiation by an Adapted Diffusion (2007) (0)
- Sampling Density Criterion for Circular Structured Light 3D Imaging (2017) (0)
- Special Session Program Committee (2014) (0)
- DIFFUSION IN INTERCONNECTED HETEROGENEOUS NETWORKS (2017) (0)
- Infrastructure for 3D Imaging Test Bed (2007) (0)
- Best basis algorithm for signal enhancement c H. Krim ... [et al.]. (1995) (0)
- Signal Processing Magazine on Mathematical Methods in Imaging Introduction (0)
- Geometric Methods in Signal and Image Analysis: References (2015) (0)
- Structural risk minimization using nearest neighbor rule (2003) (0)
- Classification and sampling of shapes through semiparametric Skew-Symmetric Shape Model (2004) (0)
- New Directions in Complex Data Analysis for Emerging Applications (2008) (0)
- Identification of a discrete planar symmetric shape from a single noisy view (2005) (0)
- Implicit Bayes Adaptation: A Collaborative Transport Approach (2023) (0)
- Nonlinear Modeling: Estimation and Prediction with Applications to GPS (2000) (0)
- A curve representation of human activity (2009) (0)
- Joint Concept Matching-Space Projection Learning for Zero-Shot Recognition (2019) (0)
- On identification of discrete symmetric planar shapes from a single view (2002) (0)
- Commuting Conditional GANs for Robust Multi-Modal Fusion (2019) (0)
- Minimax description length for signal denoising (1998) (0)
- - CONSTRUCTION AND C LASSIFICATION (2018) (0)
- System Identification: 3D Measurement Using Structured Light System (2012) (0)
- Maximum a Posteriori (map) Estimator Using A (2001) (0)
- TOPO-GEOMETRIC SHAPE MODEL FOR 3 D OBJECT REPRESENTATION (2006) (0)
- First Study on Data Readiness Level (2017) (0)
- Shape Representation with Flexible Skew-Symmetric Distributions (2004) (0)
- Computational Topology in Sensor Networks (2010) (0)
- Projection operators in correlated noise fields (1995) (0)
- Robust Network Architecture Against Random Threats in WMD Environments: Theoretical Limits and Recovery Strategies (2017) (0)
- 3D face recognition in the Fourier domain using deformed circular curves (2015) (0)
- Demystifying Deep Learning: a Geometric Approach to Iterative Projections (2018) (0)
- Semiparametric skew-symmetric modeling of planar shapes (2004) (0)
- Discovering urban functional zones from biased and sparse points of interests and sparse human activities (2020) (0)
- A novel approach to decompose a modulated broadband carrier (2010) (0)
- Final Report: Minimax Compressed Sensing Reconstruction (2016) (0)
- SURVEY ON WAVELET STATISTICS (2004) (0)
- Neural Network Based Tracking of Maneuvering Unmanned Aerial Vehicles (2022) (0)
- Information diffusion in interconnected heterogeneous networks (2017) (0)
- Geometric Methods in Signal and Image Analysis: Differential geometry of curves and surfaces (2015) (0)
- Volterra Neural Networks (VNNs) (2019) (0)
- Geometric Methods in Signal and Image Analysis: Preface (2015) (0)
- Video Tracking of Insect Flight Path: Towards Behavioral Assessment (2018) (0)
- TSIPN Senior Editorial Board (2015) (0)
- Bayesian wavelet denoising using Besov priors (1999) (0)
- Geometric Methods in Signal and Image Analysis: Computational algebraic topology (2015) (0)
- Generalized algorithm for efficient multi-channel data fusion and real-time implementation using wavelet transform (2003) (0)
- Semiparametric skew distributions in shape representation (2003) (0)
- Three-dimensional integral invariant signatures and their application on face recognition (2007) (0)
- Structural risk minimization using nearest neighbor rule (2003) (0)
- Fast Incorporation of Optical (2005) (0)
- Exploring approaches to layered image registration (2008) (0)
- Optimality of Eigen-Based Algorithms with Fully Correlated Sources* (1993) (0)
- Geometric Methods in Signal and Image Analysis: Fundamentals of group theory (2015) (0)
- Activity Video Analysis via Operator-Based Local Embedding (2013) (0)
- Novel similarity invariant for space curves using turning angles and its application to object recognition (2009) (0)
- Interdisciplinary Distinguished Seminar Series (2014) (0)
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