STRUCTURAL PROPERTIES OF SPARSE GRAPHS ˇ RIL ˇ ∗ AND PATRICE OSSONA DE MENDEZ JAROSLAV NESET 1. Introduction

Source URL: iti.mff.cuni.cz

Sparse CCA: Adaptive Estimation and Computational Barriers ∗ Chao Gao1 , Zongming Ma2 , and Harrison H. Zhou1 1 2

Source URL: www.stat.yale.edu

12th International Society for Music Information Retrieval Conference (ISMIRUNSUPERVISED LEARNING OF SPARSE FEATURES FOR SCALABLE AUDIO CLASSIFICATION Mikael Henaff, Kevin Jarrett, Koray Kavukcuoglu and Yann LeCu

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Sublinear Time, Measurement-Optimal, Sparse Recovery For All Ely Porat and Martin J. Strauss BIU/UM Preliminaries

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1 Blind Denoising with Random Greedy Pursuits Manuel Moussallam∗ , Alexandre Gramfort† , Laurent Daudet∗ , and Ga¨el Richard† ∗ Institut

Source URL: arxiv.org

• Signal processing
• Mathematical analysis
• Electrical engineering
• Timefrequency analysis
• Statistics
• Noise
• Wavelet
• Multivariate statistics
• Time series analysis
• IP
• Noise reduction
• Sparse approximation

Convolutive Demixing with Sparse Discrete Prior Models for Markov Sources Radu Balan1 and Justinian Rosca1 Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540

Source URL: www.math.umd.edu

Composite Loss Functions and Multivariate Regression; Sparse PCA G. Obozinski, B. Taskar, and M. I. JordanJoint covariate selection and joint subspace selection for multiple classification problems. Statistics a

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Visualizing Sparse Filtrations∗ Nicholas J. Cavanna1 , Mahmoodreza Jahanseir2 , and Donald R. Sheehy3 1 Department of Computer Science, University of Connecticut

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SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering Jianping Shi† Naiyan Wang‡ Yang Xia† Dit-Yan Yeung‡ Irwin King† Jiaya Jia† Department of Computer Science and Engineering, The Chinese

Source URL: shijianping.me

• Algebra
• Statistics
• Mathematics
• Linear algebra
• Matrix theory
• Covariance and correlation
• Probability distributions
• Stable distributions
• Covariance
• Kalman filter
• Non-negative matrix factorization
• Normal distribution

JMLR: Workshop and Conference Proceedings 1: Gaussian Processes in Practice Sparse Log Gaussian Processes via MCMC for Spatial Epidemiology Jarno Vanhatalo

Source URL: jmlr.csail.mit.edu