Papers
21,849 papers found
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.
Image Retrieval and Classification Using Local Distance Functions
Andrea Frome, Yoram Singer, Jitendra Malik
implicit Online Learning with Kernels
Li Cheng, Dale Schuurmans, Shaojun Wang et al.
Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions
Christian Walder, Olivier Chapelle, Bernhard Schölkopf
Inducing Metric Violations in Human Similarity Judgements
Julian Laub, Klaus-Robert Müller, Felix A. Wichmann et al.
Inferring Network Structure from Co-Occurrences
Michael G. Rabbat, Mário Figueiredo, Robert Nowak
Information Bottleneck for Non Co-Occurrence Data
Yevgeny Seldin, Noam Slonim, Naftali Tishby
Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons
Stefan Klampfl, Wolfgang Maass, Robert A. Legenstein