Sam T. Roweis
#146,422
Most Influential Person Now
Why Is Sam T. Roweis Influential?
(Suggest an Edit or Addition)Sam T. Roweis'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
- Nonlinear dimensionality reduction by locally linear embedding. (2000) (14791)
- Neighbourhood Components Analysis (2004) (1821)
- Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifold (2003) (1678)
- Stochastic Neighbor Embedding (2002) (1641)
- K-Corrections and Filter Transformations in the Ultraviolet, Optical, and Near-Infrared (2006) (1232)
- A Unifying Review of Linear Gaussian Models (1999) (1038)
- EM Algorithms for PCA and SPCA (1997) (973)
- Removing camera shake from a single photograph (2006) (932)
- Metric Learning by Collapsing Classes (2005) (758)
- Modeling Human Motion Using Binary Latent Variables (2006) (625)
- ASTROMETRY.NET: BLIND ASTROMETRIC CALIBRATION OF ARBITRARY ASTRONOMICAL IMAGES (2009) (624)
- One Microphone Source Separation (2000) (504)
- An Improved Photometric Calibration of the Sloan Digital Sky Survey Imaging Data (2007) (487)
- Nightmare at test time: robust learning by feature deletion (2006) (353)
- An Introduction to Locally Linear Embedding (2001) (282)
- Collaborative Filtering and the Missing at Random Assumption (2007) (282)
- Learning Nonlinear Dynamical Systems Using an EM Algorithm (1998) (281)
- A Panoramic View of Yeast Noncoding RNA Processing (2003) (269)
- Global Coordination of Local Linear Models (2001) (246)
- Factorial models and refiltering for speech separation and denoising (2003) (228)
- A Sticker-Based Model for DNA Computation (1998) (201)
- Automatic Alignment of Local Representations (2002) (198)
- Modeling Dyadic Data with Binary Latent Factors (2006) (176)
- Optimization with EM and Expectation-Conjugate-Gradient (2003) (176)
- Hierarchical Clustering of a Mixture Model (2004) (175)
- On applying molecular computation to the data encryption standard (1999) (167)
- Multiple Alignment of Continuous Time Series (2004) (159)
- Two Distributed-State Models For Generating High-Dimensional Time Series (2011) (122)
- Extreme deconvolution: Inferring complete distribution functions from noisy, heterogeneous and incomplete observations (2009) (118)
- Convex Learning with Invariances (2007) (106)
- Think globally, fit locally: unsupervised l earning of non-linear manifolds (2002) (105)
- Adaptive Overrelaxed Bound Optimization Methods (2003) (104)
- Difference detection in LC-MS data for protein biomarker discovery (2007) (89)
- On the Convergence of Bound Optimization Algorithms (2002) (82)
- An Alternate Objective Function for Markovian Fields (2002) (82)
- Mining student CVS repositories for performance indicators (2005) (66)
- Learning Nonlinear Dynamical Systems Using the Expectation–Maximization Algorithm (2001) (65)
- Modeling Systematic Variations in Pronunciation via a Language-Dependent Hidden Speaking Mode (1999) (64)
- Modeling Complete Distributions with Incomplete Observations: The Velocity Ellipsoid from Hipparcos Data (2005) (63)
- Non-linear CCA and PCA by Alignment of Local Models (2003) (58)
- A sticker based model for DNA computation (1996) (57)
- Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models (2003) (52)
- THE VELOCITY DISTRIBUTION OF NEARBY STARS FROM HIPPARCOS DATA. I. THE SIGNIFICANCE OF THE MOVING GROUPS (2009) (51)
- Recommender Systems, Missing Data and Statistical Model Estimation (2011) (51)
- Constrained Hidden Markov Models (1999) (44)
- Time-Varying Topic Models using Dependent Dirichlet Processes (2005) (40)
- Probabilistic Inference of Speech Signals from Phaseless Spectrograms (2003) (39)
- Nonparametric Bayesian Biclustering (2007) (31)
- CLEANING THE USNO-B CATALOG THROUGH AUTOMATIC DETECTION OF OPTICAL ARTIFACTS (2007) (29)
- Data-driven production models for speech processing (1999) (29)
- An investigation of computational and informational limits in Gaussian mixture clustering (2006) (27)
- Unsupervised Learning with Non-Ignorable Missing Data (2005) (26)
- EM Algorithms for PCA and Sensible PCA (1997) (25)
- A statistical learning approach to document image analysis (2005) (24)
- Learning stick-figure models using nonparametric Bayesian priors over trees (2008) (24)
- On the Reduction of Errors in DNA Computation (1999) (23)
- Computing with Action Potentials (1997) (23)
- Visualizing pairwise similarity via semidefinite programming (2007) (23)
- Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure (2006) (20)
- A Segmental HMM for Speech Waveforms (2004) (17)
- A segment based probabilistic generative model of speech (2005) (15)
- An Adversarial View of Covariate Shift and A Minimax Approach (2009) (15)
- Relationship between gradient and EM steps in latent variable models (2003) (13)
- Towards articulatory speech recognition: learning smooth maps to recover articulator information (1997) (11)
- Automatic Speech Processing by Inference in Generative Models (2005) (9)
- Continuous Time Particle Filtering for fMRI (2007) (9)
- Probabilistic Models for Unsupervised Learning (1999) (9)
- CVS Data Extraction and Analysis: A Case Study (2004) (8)
- Automated Astrometry (Invited) (2008) (6)
- Mining student CVS repositories for performance indicators (2005) (6)
- 6 LEARNING NONLINEAR DYNAMICAL SYSTEMS USING THE EXPECTATION – MAXIMIZATION ALGORITHM (2001) (5)
- BLIND DATE: USING PROPER MOTIONS TO DETERMINE THE AGES OF HISTORICAL IMAGES (2008) (4)
- Signal Reconstruction from Zero-CrossingsSam (1998) (4)
- Expectation-conjugate gradient: An alternative to EM (2002) (4)
- kcorrect: Calculate K-corrections between observed and desired bandpasses (2017) (3)
- Linear Embedding Nonlinear Dimensionality Reduction by Locally (2008) (3)
- Extreme Deconvolution: Density Estimation using Gaussian Mixtures in the Presence of Noisy, Heterogeneous and Incomplete Data (2010) (3)
- Simultaneous Localization and Surveying with Multiple Agents (2003) (2)
- Proceedings of the 20th International Conference on Neural Information Processing Systems (2007) (2)
- Proceedings, Twenty-fifth International Conference on Machine Learning (2008) (2)
- Statistical tests for whether a given set of independent , identically distributed draws does not come from a specified probability density Mark Tygert June 3 , 2010 Dedicated to the memory of (2010) (1)
- UTML TR 2007 – 001 Nonparametric Bayesian Biclustering (2007) (1)
- Nonlinear blind sensor fusion and identification (2005) (0)
- How much does a galaxy know about its neighbors? Mutual information between galaxies as a function of separation. (2004) (0)
- January 20 , 2004 UTML TR 2004 – 001 A Segmental HMM for Speech Waveforms (2004) (0)
- LARGE MARGIN DISCRIMINATIVE LEARNING METHODS FOR ACOUSTIC MODELING (2006) (0)
- Hidden Markov Models (2022) (0)
- 2 Refiltering vs . unmixing (2007) (0)
- Adaptive Gaussian Kernel SVMs (2005) (0)
- 3 Model definition : statetopologiesfr om cell packings (1999) (0)
- Machine Learning, Proceedings of the Twenty-Fifth International Conference (ICML 2008), Helsinki, Finland, June 5-9, 2008 (2008) (0)
- A Sticker Based Mod el for DNA Comp utation (0)
- Speech Processing Background (1998) (0)
This paper list is powered by the following services:
What Schools Are Affiliated With Sam T. Roweis?
Sam T. Roweis is affiliated with the following schools:
