Papers
21,849 papers found
Tiled convolutional neural networks
Jiquan Ngiam, Zhenghao Chen, Daniel Chia et al.
t-logistic regression
Nan Ding, S.v.n. Vishwanathan
Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models
Congcong Li, Adarsh Kowdle, Ashutosh Saxena et al.
Towards Property-Based Classification of Clustering Paradigms
Margareta Ackerman, Shai Ben-David, David Loker
Trading off Mistakes and Don't-Know Predictions
Amin Sayedi, Morteza Zadimoghaddam, Avrim Blum
Transduction with Matrix Completion: Three Birds with One Stone
Andrew Goldberg, Ben Recht, Junming Xu et al.
Tree-Structured Stick Breaking for Hierarchical Data
Zoubin Ghahramani, Michael I. Jordan, Ryan P. Adams
Two-Layer Generalization Analysis for Ranking Using Rademacher Average
Wei Chen, Tie-yan Liu, Zhi-ming Ma
Universal Consistency of Multi-Class Support Vector Classification
Tobias Glasmachers
Universal Kernels on Non-Standard Input Spaces
Andreas Christmann, Ingo Steinwart
Unsupervised Kernel Dimension Reduction
Meihong Wang, Fei Sha, Michael I. Jordan
Using body-anchored priors for identifying actions in single images
Leonid Karlinsky, Michael Dinerstein, Shimon Ullman
Variable margin losses for classifier design
Hamed Masnadi-shirazi, Nuno Vasconcelos
Variational bounds for mixed-data factor analysis
Mohammad Emtiyaz Khan, Guillaume Bouchard, Kevin P. Murphy et al.
Variational Inference over Combinatorial Spaces
Alexandre Bouchard-côté, Michael I. Jordan
Why are some word orders more common than others? A uniform information density account
Luke Maurits, Dan Navarro, Amy Perfors
Word Features for Latent Dirichlet Allocation
James Petterson, Wray Buntine, Shravan M. Narayanamurthy et al.
Worst-case bounds on the quality of max-product fixed-points
Meritxell Vinyals, Jes\'us Cerquides, Alessandro Farinelli et al.
Worst-Case Linear Discriminant Analysis
Yu Zhang, Dit-Yan Yeung
$L_1$-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry
Arnak Dalalyan, Renaud Keriven
3D Object Recognition with Deep Belief Nets
Vinod Nair, Geoffrey E. Hinton
A Bayesian Analysis of Dynamics in Free Recall
Richard Socher, Samuel Gershman, Per Sederberg et al.
A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation
Lan Du, Lu Ren, Lawrence Carin et al.
A Biologically Plausible Model for Rapid Natural Scene Identification
Sennay Ghebreab, Steven Scholte, Victor Lamme et al.
Abstraction and Relational learning
Charles Kemp, Alan Jern