| On the convergence of bound optimization algorithms | 31 | 4.59 | 2012 |
| Two Distributed-State Models For Generating High-Dimensional Time Series | 42 | 1.86 | 2011 |
| Recommender systems: missing data and statistical model estimation | 19 | 0.94 | 2011 |
| Machine Learning, Proceedings of the Twenty-Fifth International Conference (ICML 2008), Helsinki, Finland, June 5-9, 2008 | 141 | 41.17 | 2008 |
| Visualizing pairwise similarity via semidefinite programming | 0 | 0.34 | 2007 |
| Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007 | 212 | 67.83 | 2007 |
| Difference detection in LC-MS data for protein biomarker discovery. | 23 | 2.26 | 2007 |
| Collaborative Filtering and the Missing at Random Assumption | 76 | 4.78 | 2007 |
| Convex Learning with Invariances | 55 | 5.34 | 2007 |
| Modeling Dyadic Data with Binary Latent Factors | 54 | 6.52 | 2006 |
| Modeling Human Motion Using Binary Latent Variables | 254 | 29.02 | 2006 |
| Removing camera shake from a single photograph. | 16 | 0.70 | 2006 |
| Nightmare at test time: robust learning by feature deletion | 141 | 13.11 | 2006 |
| An investigation of computational and informational limits in Gaussian mixture clustering | 11 | 0.96 | 2006 |
| Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure | 10 | 1.21 | 2006 |
| Removing camera shake from a single photograph | 622 | 28.01 | 2006 |
| A segment based probabilistic generative model of speech. | 5 | 0.71 | 2005 |
| Metric Learning by Collapsing Classes | 219 | 18.22 | 2005 |
| Unsupervised Learning with Non-Ignorable Missing Data. | 7 | 1.32 | 2005 |
| Mining student CVS repositories for performance indicators | 49 | 1.54 | 2005 |
| A statistical learning approach to document image analysis | 9 | 0.69 | 2005 |
| Neighbourhood Components Analysis. | 292 | 25.94 | 2004 |
| Hierarchical Clustering of a Mixture Model | 77 | 4.00 | 2004 |
| Multiple Alignment of Continuous Time Series | 64 | 6.60 | 2004 |
| Think globally, fit locally: unsupervised learning of low dimensional manifolds | 685 | 45.02 | 2003 |
| Factorial models and refiltering for speech separation and denoising | 93 | 8.22 | 2003 |
| Non-linear CCA and PCA by Alignment of Local Models | 23 | 4.11 | 2003 |
| Simultaneous localization and surveying with multiple agents | 0 | 0.34 | 2003 |
| Adaptive Overrelaxed Bound Optimization Methods | 50 | 4.53 | 2003 |
| Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models | 17 | 2.50 | 2003 |
| Optimization with EM and Expectation-Conjugate-Gradient | 56 | 7.23 | 2003 |
| Probabilistic Inference of Speech Signals from Phaseless Spectrograms | 9 | 1.00 | 2003 |
| An Alternate Objective Function for Markovian Fields | 37 | 4.43 | 2002 |
| Automatic Alignment of Local Representations | 47 | 3.15 | 2002 |
| Stochastic Neighbor Embedding | 177 | 24.11 | 2002 |
| Global Coordination of Local Linear Models | 110 | 14.46 | 2001 |
| A unifying review of linear gaussian models. | 285 | 33.29 | 1999 |
| On the reduction of errors in DNA computation. | 8 | 2.80 | 1999 |
| On Applying Molecular Computation to the Data Encryption Standard | 59 | 7.57 | 1999 |
| A sticker-based model for DNA computation. | 84 | 9.76 | 1998 |
| Learning nonlinear dynamical systems using an EM algorithm | 68 | 10.02 | 1998 |
| EM algorithms for PCA and SPCA | 300 | 41.49 | 1997 |
| Computing with action potentials | 7 | 1.18 | 1997 |
| Towards articulatory speech recognition: learning smooth maps to recover articulator information | 2 | 0.50 | 1997 |
| A Sticker Based Model for DNA Computation | 10 | 4.04 | 1996 |
