Learning Workshop, Snowbird, April 1-4, 2008

POSTERS

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´┐Żon 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]