Unsupervised Learning

Prime Object Proposals with Randomized Prim's Algorithm ICCV 2013 Probabilistic Elastic Part Model for Unsupervised Face Detector Adaptation ICCV 2013 Provable Subspace Clustering: When LRR meets SSC NeurIPS 2013 q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions NeurIPS 2013 QuantMiner for Mining Quantitative Association Rules JMLR 2013 Rapid Distance-Based Outlier Detection via Sampling NeurIPS 2013 Reshaping Visual Datasets for Domain Adaptation NeurIPS 2013 Restricting exchangeable nonparametric distributions NeurIPS 2013 RNADE: The real-valued neural autoregressive density-estimator NeurIPS 2013 Robust Low Rank Kernel Embeddings of Multivariate Distributions NeurIPS 2013 Saliency Detection via Absorbing Markov Chain ICCV 2013 Scalable Inference for Logistic-Normal Topic Models NeurIPS 2013 Scoring anomalies: a M-estimation formulation AISTATS 2013 Semantically-Based Human Scanpath Estimation with HMMs ICCV 2013 Similarity Component Analysis NeurIPS 2013 Small-Variance Asymptotics for Hidden Markov Models NeurIPS 2013 Sparse Principal Component Analysis for High Dimensional Multivariate Time Series AISTATS 2013 Spectral Learning of Hidden Markov Models from Dynamic and Static Data ICML 2013 Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. NeurIPS 2013 Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs NeurIPS 2013 Streaming Variational Bayes NeurIPS 2013 Summary Statistics for Partitionings and Feature Allocations NeurIPS 2013 Synergistic Clustering of Image and Segment Descriptors for Unsupervised Scene Understanding ICCV 2013 The CAM Software for Nonnegative Blind Source Separation in R-Java JMLR 2013 Top-Down Regularization of Deep Belief Networks NeurIPS 2013