POSTER SESSION A: Wednesday April 2, 19:00
| 186 | Koray Kavukcuoglu and Marc'Aurelio Ranzato and Y-Lan Boureau and Yann LeCun Efficient Learning and Inference of Sparse Overcomplete Representations |
[DjVu|PDF] |
| 185 | Andrew M. Fraser Multitarget Tracking Viewed as Viterbi Decoding |
[DjVu|PDF] |
| 184 | Irina Rish, Genady Grabarnik, Guillermo Cecchi Closed-Form Supervised Dimensionality Reduction using Generalized Linear Models |
[DjVu|PDF] |
| 180 | Piyush Rai and Hal Daume III and Suresh Venkatasubramanian Single Pass SVM using Minimum Enclosing Ball of Streaming Data |
[DjVu|PDF] |
| 176 | Sreangsu Acharyya and Joydeep Ghosh Dimensionality Reduction by Minimum Margin Sandwich |
[DjVu|PDF] |
| 173 | Yoshua Bengio and Joseph Turian and Hugo Larochelle Deep Woods |
[DjVu|PDF] |
| 167 | Bing Bai and Jason Weston and Ronan Collobert NOODLE is better than Google * *sometimes |
[DjVu|PDF] |
| 163 | Koby Crammer and Partha Pratim Talukdar and Fernando Pereira A Rate-Distortion One-Class Model and its Applications to Clustering |
[DjVu|PDF] |
| 162 | Jo-Anne Ting and Stefan Schaal Local Kernel Shaping for Function Approximation |
[DjVu|PDF] |
| 155 | Olivier Delalleau and Aaron Courville and Yoshua Bengio Gaussian Mixtures with Missing Data: an Efficient EM Training Algorithm |
[DjVu|PDF] |
| 153 | Kristin P. Bennett and Gautam Kunapuli and Jing Hu and Jong-Shi Pang Bilevel Programming and Machine Learning |
[DjVu|PDF] |
| 149 | Antoine Bordes and Nicolas Usunier and L�on Bottou Learning to Label Sequences in One Pass |
[DjVu|PDF] |
| 148 | Daniel Huttenlocher and Yunpeng Li Learning Markov Random Field Models for Low-Level Vision |
[DjVu|PDF] |
| 145 | Jason Weston and Ronan Collobert Deep Learning: a new layer |
[DjVu|PDF] |
| 142 | Isaac Councill and C. Lee Giles CiteSeerX, the Next Generation CiteSeer |
[DjVu|PDF] |
| 140 | Yung-Kyun Noh and Jihun Hamm and Daniel D. Lee Variational Bounds for Discriminant Analysis |
[DjVu|PDF] |
| 137 | Meghana Deodhar and Joydeep Ghosh A Framework for Simultaneous Co-clustering and Modeling of Dyadic Data |
[DjVu|PDF] |
| 135 | Chun-Nan Hsu and Han-Shen Huang and Yu-Ming Chang Periodic Stepsize Adaptation |
[DjVu|PDF] |
| 134 | Sudheendra Vijayanarasimhan and Kristen Grauman Keywords to Visual Categories: Multiple-Instance Learning for Weakly Supervised Object Categorization |
[DjVu|PDF] |
| 131 | Raquel Urtasun and Trevor Darrell Local Probabilistic Regression for Activity-Independent Human Pose Inference |
[DjVu|PDF] |
| 129 | Shai Ben-David and Sharon Wulff Bi-clustering, New Objective and algorithms with proven guarantees |
[DjVu|PDF] |
| 124 | Alex Levinshtein and Cristian Sminchisescu and Sven Dickinson Qualitative 3D Surface Reconstruction from Images |
[DjVu|PDF] |
| 120 | Alexandra Laflamme-Sanders and Mu Zhu LAGO on the Unit Sphere |
[DjVu|PDF] |
POSTER SESSION B: Thursday April 3, 19:00
| 190 | Aaron Courville and Dumitru Erhan and Pascal Vincent and Yoshua Bengio Sparse Covariance Coding |
[DjVu|PDF] |
| 182 | Gal Chechik Max Margin Dimensionality Reduction |
[DjVu|PDF] |
| 179 | David B. Skalak and Alexandru Niculescu-Mizil and Rich Caruana The Loss of Optimizing the Correct Metric |
[DjVu|PDF] |
| 178 | Tony Jebara Learning from Out-Tree Dependent Data |
[DjVu|PDF] |
| 177 | Nicolas Le Roux and Hugo Larochelle and Yoshua Bengio Discriminative Training of RBMs using Bhattacharyya Distance |
[DjVu|PDF] |
| 171 | Daria Sorokina and Rich Caruana and Mirek Riedewald Groves of Trees |
[DjVu|PDF] |
| 165 | Alexandre Klementiev and Dan Roth and Kevin Small Unsupervised Rank Aggregation with Conditional Models |
[DjVu|PDF] |
| 164 | Ming-Wei Chang and Dan Roth Robust Feature Extension Algorithms |
[DjVu|PDF] |
| 160 | Nicolas Le Roux and Yoshua Bengio Deep Belief Networks are Compact Universal Approximators |
[DjVu|PDF] |
| 159 | Paolo Emilio Barbano and Ronald R. Coifman FEATURE EXTRACTION VIA COMPRESSED LOCAL MAHALANOBIS METRICS |
[DjVu|PDF] |
| 157 | Minyoung Kim and Vladimir Pavlovic Nonlinear Dimensionality Reduction for Regression |
[DjVu|PDF] |
| 151 | Eran Swears and Anthony Hoogs and A.G. Amitha Perera HMM-Based Clustering for Learning Motion Patterns in Surveillance Video |
[DjVu|PDF] |
| 150 | Alex Simma and Moises Goldszmidt and John MacCormick and Paul Barham and Richard Black and Rebecca Isaacs and Richard Mortier Using machine learning to discover service and host dependencies in networked systems |
[DjVu|PDF] |
| 147 | Greg Grudic A Classification Framework for Open Set Domains |
[DjVu|PDF] |
| 146 | Ali Ghodsi and Michael Biggs and Babak Alipanahi Distance metric learning Vs. Fisher discriminant analysis |
[DjVu|PDF] |
| 138 | Pavel P. Kuksa and Pai-Hsi Huang and Vladimir Pavlovic Spatially-constrained sample kernel for sequence classification |
[DjVu|PDF] |
| 133 | Prateek Jain and Brian Kulis and Kristen Grauman Fast Image Search for Learned Metrics |
[DjVu|PDF] |
| 132 | Raquel Urtasun and Ariadna Quattoni and Neil D. Lawrence and Trevor Darrell Transfering Nonlinear Representations using Gaussian Processes with a Shared Latent Space |
[DjVu|PDF] |
| 130 | Margareta Ackerman and Shai Ben-David Clustering-Quality Measures |
[DjVu|PDF] |
| 128 | Cesare Alippi and Manuel Roveri k -NN CLASSIFIERS: INVESTIGATING THE k=k(n) RELATIONSHIP |
[DjVu|PDF] |
| 125 | Pavan Turaga and Ashok Veeraraghavan and Rama Chellappa Recognition of Humans and their Activities using Statistical analysis on Stiefel and Grassmann Manifolds |
[DjVu|PDF] |
| 123 | Cristian Sminchisescu and Catalin Ionescu Hierarchical Spectral Latent VariableModels (HSLVM) |
[DjVu|PDF] |
| 122 | Liefeng Bo and Cristian Sminchisescu Twin Gaussian Processes for Structured Prediction |
[DjVu|PDF] |