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Showing below up to 100 results in range #21 to #120.
- paper 13 (09:45, 30 August 2017)
- measuring Statistical Dependence with Hilbert-Schmidt Norm (09:45, 30 August 2017)
- sparse PCA (09:45, 30 August 2017)
- proposal for STAT946 projects (09:45, 30 August 2017)
- learning Spectral Clustering, With Application To Speech Separation (09:45, 30 August 2017)
- neighbourhood Components Analysis (09:45, 30 August 2017)
- visualizing Similarity Data with a Mixture of Maps (09:45, 30 August 2017)
- learning a Nonlinear Embedding by Preserving Class Neighborhood Structure (09:45, 30 August 2017)
- convex and Semi Nonnegative Matrix Factorization (09:45, 30 August 2017)
- independent Component Analysis: algorithms and applications (09:45, 30 August 2017)
- nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization (09:45, 30 August 2017)
- graph Laplacian Regularization for Larg-Scale Semidefinite Programming (09:45, 30 August 2017)
- relevant Component Analysis (09:45, 30 August 2017)
- visualizing Data using t-SNE (09:45, 30 August 2017)
- kernelized Sorting (09:45, 30 August 2017)
- maximum-Margin Matrix Factorization (09:45, 30 August 2017)
- regression on Manifold using Kernel Dimension Reduction (09:45, 30 August 2017)
- stat841 (09:45, 30 August 2017)
- statf09841Proposal (09:45, 30 August 2017)
- statf09841Scribe (09:45, 30 August 2017)
- test1 (09:45, 30 August 2017)
- wikicoursenote:Manual of Style (09:45, 30 August 2017)
- infoboxtest (09:45, 30 August 2017)
- stat841f10 (09:45, 30 August 2017)
- statf10841Scribe (09:45, 30 August 2017)
- proposal for STAT946 projects Fall 2010 (09:45, 30 August 2017)
- stat946-Fall 2010 (09:45, 30 August 2017)
- wikicoursenote:cleanup (09:45, 30 August 2017)
- proposal Fall 2010 (09:45, 30 August 2017)
- f10 Stat841 digest (09:45, 30 August 2017)
- sign up for your presentation (09:45, 30 August 2017)
- schedule of Project Presentations (09:45, 30 August 2017)
- proof of Lemma 1 (09:45, 30 August 2017)
- a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis (09:45, 30 August 2017)
- proof of Theorem 1 (09:45, 30 August 2017)
- paper Summaries (09:45, 30 August 2017)
- self-Taught Learning (09:45, 30 August 2017)
- discLDA: Discriminative Learning for Dimensionality Reduction and Classification (09:45, 30 August 2017)
- a Direct Formulation For Sparse PCA Using Semidefinite Programming (09:45, 30 August 2017)
- is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction (09:45, 30 August 2017)
- compressive Sensing (09:45, 30 August 2017)
- deflation Methods for Sparse PCA (09:45, 30 August 2017)
- supervised Dictionary Learning (09:45, 30 August 2017)
- link to my paper (09:45, 30 August 2017)
- mark Your Contribution here (09:45, 30 August 2017)
- mark your contribution here (09:45, 30 August 2017)
- probabilistic Matrix Factorization (09:45, 30 August 2017)
- deflation Method for Penalized Matrix Decomposition Sparse PCA (09:45, 30 August 2017)
- matrix Completion with Noise (09:45, 30 August 2017)
- a Rank Minimization Heuristic with Application to Minimum Order System Approximation (09:45, 30 August 2017)
- uncovering Shared Structures in Multiclass Classification (09:45, 30 August 2017)
- multi-Task Feature Learning (09:45, 30 August 2017)
- compressive Sensing (Candes) (09:45, 30 August 2017)
- probabilistic PCA with GPLVM (09:45, 30 August 2017)
- consistency of Trace Norm Minimization (09:45, 30 August 2017)
- optimal Solutions forSparse Principal Component Analysis (09:45, 30 August 2017)
- proof (09:45, 30 August 2017)
- copyofstat341 (09:45, 30 August 2017)
- a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization (09:45, 30 August 2017)
- stat341f11 (09:45, 30 August 2017)
- f11Stat841EditorSignUp (09:45, 30 August 2017)
- singular Value Decomposition(SVD) (09:45, 30 August 2017)
- signupformStat341F11 (09:45, 30 August 2017)
- stat946f11 (09:45, 30 August 2017)
- f11Stat946presentation (09:45, 30 August 2017)
- stat946f11pool (09:45, 30 August 2017)
- compressed Sensing Reconstruction via Belief Propagation (09:45, 30 August 2017)
- f11Stat946ass (09:45, 30 August 2017)
- f11Stat946papers (09:45, 30 August 2017)
- f11stat946EditorSignUp (09:45, 30 August 2017)
- tRIAL for that odd behaviour (09:45, 30 August 2017)
- contributions on Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis (09:45, 30 August 2017)
- contributions on Video-Based Face Recognition Using Adaptive Hidden Markov Models (09:45, 30 August 2017)
- video-Based Face Recognition Using Adaptive Hidden Markov Models (09:45, 30 August 2017)
- decentralised Data Fusion: A Graphical Model Approach (Summary) (09:45, 30 August 2017)
- a Dynamic Bayesian Network Click Model for Web Search Ranking (09:45, 30 August 2017)
- contributions on Quantifying Cancer Progression with Conjunctive Bayesian Networks (09:45, 30 August 2017)
- quantifying cancer progression with conjunctive Bayesian networks. (09:46, 30 August 2017)
- graphical models for structured classification, with an application to interpreting images of protein subcellular location patterns (09:46, 30 August 2017)
- quantifying cancer progression with conjunctive Bayesian networks (09:46, 30 August 2017)
- markov Random Fields for Super-Resolution (09:46, 30 August 2017)
- video-based face recognition using Adaptive HMM (09:46, 30 August 2017)
- an HDP-HMM for Systems with State Persistence (09:46, 30 August 2017)
- a Dynamic Bayesian Network Click Model for web search ranking (09:46, 30 August 2017)
- incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary) (09:46, 30 August 2017)
- context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis (09:46, 30 August 2017)
- stat340s13 (09:46, 30 August 2017)
- stat946s13 (09:46, 30 August 2017)
- s13Stat946proposal (09:46, 30 August 2017)
- inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method (09:46, 30 August 2017)
- residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models (09:46, 30 August 2017)
- maximum likelihood estimation of intrinsic dimension (09:46, 30 August 2017)
- hierarchical Dirichlet Processes (09:46, 30 August 2017)
- positive Semidefinite Metric Learning Using Boosting-like Algorithms (09:46, 30 August 2017)
- kernel Dimension Reduction in Regression (09:46, 30 August 2017)
- kernelized Locality-Sensitive Hashing (09:46, 30 August 2017)
- hamming Distance Metric Learning (09:46, 30 August 2017)
- adaptive dimension reduction for clustering high dimensional data (09:46, 30 August 2017)
- parametric Local Metric Learning for Nearest Neighbor Classification (09:46, 30 August 2017)
- kernel Spectral Clustering for Community Detection in Complex Networks (09:46, 30 August 2017)