Robust Principal Component Analysis with Side Information Kai-Yang Chiang? KYCHIANG @ CS . UTEXAS . EDU Cho-Jui Hsieh† CHOHSIEH @ UCDAVIS . EDU

Source URL: www.cs.utexas.edu

Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization Canyi Lu1 , Jiashi Feng1 , Yudong Chen2 , Wei Liu3 , Zhouchen Lin4,5,∗, Shuicheng Yan6,1 1 2

Source URL: www.cis.pku.edu.cn

Knowl Inf Syst DOIs10115REGULAR PAPER Density-preserving projections for large-scale local anomaly detection

Source URL: pmg.it.usyd.edu.au

• Statistics
• Dimension reduction
• Data mining
• Multivariate statistics
• Robust statistics
• Machine learning
• Outlier
• Local outlier factor
• Anomaly detection
• Principal component analysis
• Random sample consensus
• Dimensionality reduction

IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 64, NO. 14, JULY 15, Adaptive-Rate Reconstruction of Time-Varying Signals With Application in Compressive

Source URL: www.ee.ucl.ac.uk

• Statistics
• Mathematics
• Mathematical analysis
• Linear filters
• Linear algebra
• Signal processing
• Kalman filter
• Robot control
• Compressed sensing
• Background subtraction
• Robust principal component analysis
• Normal distribution

DSP: Robust Semi-Supervised Dimensionality Reduction using Dual Subspace Projections Su Yan∗ Sofien Bouaziz Dongwon Lee IBM Almaden Research Center Ecole Polytechnique F´ed´erale de Lausanne Pennsylvania State Univer

Source URL: sofienbouaziz.com

• Multivariate statistics
• Dimension reduction
• Geostatistics
• Functional analysis
• Linear algebra
• Dimensionality reduction
• Principal component analysis
• Nonlinear dimensionality reduction
• K-nearest neighbors algorithm
• Cluster analysis
• Kernel method
• Linear discriminant analysis

Incremental Learning for Robust Visual Tracking ∗ David A. Ross∗ Jongwoo Lim† Ruei-Sung Lin‡ Ming-Hsuan Yang† University of Toronto † Honda Research Institute, USA ‡ Motorola Labs

Source URL: www.cs.toronto.edu

• Linear algebra
• Multivariate statistics
• Matrix theory
• Dimension reduction
• Numerical linear algebra
• Singular value decomposition
• Covariance
• Principal component analysis
• Normal distribution
• Kalman filter
• Linear discriminant analysis
• Eigenvalues and eigenvectors

LEARNING A FEATURE SPACE FOR SIMILARITY IN WORLD MUSIC Maria Panteli, Emmanouil Benetos, Simon Dixon Centre for Digital Music, Queen Mary University of London, United Kingdom {m.panteli, emmanouil.benetos, s.e.dixon}@qmu

Source URL: wp.nyu.edu

• Multivariate statistics
• Robust statistics
• Outlier
• K-nearest neighbors algorithm
• RANSAC
• Mahalanobis distance
• Non-negative matrix factorization
• Principal component analysis
• Linear discriminant analysis
• Music information retrieval
• Feature
• Data analysis

BETTER BEAT TRACKING THROUGH ROBUST ONSET AGGREGATION Brian McFee Daniel P.W. Ellis Center for Jazz Studies

Source URL: bmcfee.github.io

• Timefrequency analysis
• Signal processing
• Mathematical analysis
• Sound
• Statistics
• Transcription
• Onset
• Spectrogram
• Short-time Fourier transform
• Music information retrieval
• Robust principal component analysis

Robust Multivariate Autoregression for Anomaly Detection in Dynamic Product Ratings Nikou Günnemann Stephan Günnemann

Source URL: www.cs.cmu.edu

• Statistics
• Probability distributions
• Time series models
• Robust statistics
• Statistical theory
• Regression analysis
• Outlier
• Autoregressive model
• Errors and residuals
• Normal distribution
• Principal component analysis
• Exponential distribution