Papers
Dynamic Foreground/Background Extraction from Images and Videos using Random Patches
Le Lu, Gregory D. Hager
Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning
Gediminas Lukšys, Jérémie Knüsel, Denis Sheynikhovich et al.
Efficient Learning of Sparse Representations with an Energy-Based Model
Marc'aurelio Ranzato, Christopher Poultney, Sumit Chopra et al.
Efficient Methods for Privacy Preserving Face Detection
Shai Avidan, Moshe Butman
Efficient sparse coding algorithms
Honglak Lee, Alexis Battle, Rajat Raina et al.
Efficient Structure Learning of Markov Networks using $L_1$-Regularization
Su-in Lee, Varun Ganapathi, Daphne Koller
Emergence of conjunctive visual features by quadratic independent component analysis
J.t. Lindgren, Aapo Hyvärinen
Fast Computation of Graph Kernels
Karsten Borgwardt, Nicol N. Schraudolph, S.v.n. Vishwanathan
Fast Discriminative Visual Codebooks using Randomized Clustering Forests
Frank Moosmann, Bill Triggs, Frederic Jurie
Fast Iterative Kernel PCA
Nicol N. Schraudolph, Simon Günter, S.v.n. Vishwanathan
Fundamental Limitations of Spectral Clustering
Boaz Nadler, Meirav Galun
Game Theoretic Algorithms for Protein-DNA binding
Luis Pérez-breva, Luis E. Ortiz, Chen-hsiang Yeang et al.
Gaussian and Wishart Hyperkernels
Risi Kondor, Tony Jebara
Generalized Maximum Margin Clustering and Unsupervised Kernel Learning
Hamed Valizadegan, Rong Jin
Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space
Wenye Li, Kin-hong Lee, Kwong-sak Leung
Graph-Based Visual Saliency
Jonathan Harel, Christof Koch, Pietro Perona
Graph Laplacian Regularization for Large-Scale Semidefinite Programming
Kilian Q. Weinberger, Fei Sha, Qihui Zhu et al.
Greedy Layer-Wise Training of Deep Networks
Yoshua Bengio, Pascal Lamblin, Dan Popovici et al.
Handling Advertisements of Unknown Quality in Search Advertising
Sandeep Pandey, Christopher Olston
Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space
Kyung-ah Sohn, Eric P. Xing
Hierarchical Dirichlet Processes with Random Effects
Seyoung Kim, Padhraic Smyth
High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression
Martin J. Wainwright, John D. Lafferty, Pradeep K. Ravikumar
Hyperparameter Learning for Graph Based Semi-supervised Learning Algorithms
Xinhua Zhang, Wee S. Lee
iLSTD: Eligibility Traces and Convergence Analysis
Alborz Geramifard, Michael Bowling, Martin Zinkevich et al.