SoF: Soft-Cluster Matrix Factorization for Probabilistic Clustering Han Zhao† , Pascal Poupart† , Yongfeng Zhang§ and Martin Lysy‡ † David R. Cheriton School of Computer Science, University of Waterloo, Canada D

Source URL: yongfeng.me

• Multivariate statistics
• Linear algebra
• Matrix theory
• Non-negative matrix factorization
• Cluster analysis
• Spectral clustering
• K-means clustering
• Document clustering
• Pattern recognition
• Expectationmaximization algorithm
• Determining the number of clusters in a data set
• Hierarchical clustering

From SIAM News, Volume 39, Number 8, OctoberBridging the Gap Between Numerical Linear Algebra, Theoretical Computer Science, and Data Applications By Gene H. Golub, Michael W. Mahoney, Petros Drineas, and Lek-Heng

Source URL: mmds-data.org

• Matrix theory
• Linear algebra
• Numerical linear algebra
• Multivariate statistics
• Multilinear algebra
• Higher-order singular value decomposition
• Non-negative matrix factorization
• Singular value decomposition
• Tensor
• Matrix
• Rank
• Orthogonal matrix

Robust Estimation of Nonrigid Transformation for Point Set Registration Jiayi Ma1,2 , Ji Zhao3 , Jinwen Tian1 , Zhuowen Tu4 , and Alan L. Yuille2 1 Huazhong University of Science and Technology, 2 Department of Statistic

Source URL: pages.ucsd.edu

• Computer vision
• Estimation theory
• Statistical theory
• Robust statistics
• Regression analysis
• Image registration
• Point set registration
• Shape context
• Outlier
• Maximum likelihood estimation
• Conference on Computer Vision and Pattern Recognition
• Linear regression

Extending PSL with Fuzzy Quantifiers Golnoosh Farnadi1,2 , Stephen H. Bach3 , Marie-Francine Moens2 , Lise Getoor4 , Martine De Cock1,5 1 Department of Applied Mathematics, Computer Science and Statistics, Ghent Universi

Source URL: stephenbach.net

• Fuzzy logic
• Quantification
• Logic in computer science
• Artificial intelligence
• Non-classical logic
• Probabilistic soft logic
• Fuzzy set
• Quantifier
• Fuzzy control system
• FO
• Universal quantification
• PSL

Decentralized Detection and Classification using Kernel Methods XuanLong Nguyen Computer Science Division University of California, Berkeley

Source URL: dept.stat.lsa.umich.edu

• Hilbert space
• Statistical classification
• Operator theory
• Positive-definite kernel
• Machine learning
• Support vector machine
• Reproducing kernel Hilbert space
• Learning
• Statistics
• Analysis
• Multiple kernel learning
• Kernel embedding of distributions

Bayesian Learning via Stochastic Gradient Langevin Dynamics Max Welling D. Bren School of Information and Computer Science, University of California, Irvine, CA, USA Yee Whye Teh

Source URL: www.icml-2011.org

• Applied mathematics
• Statistical randomness
• Probability and statistics
• Monte Carlo methods
• Markov models
• Statistical mechanics
• Stochastic optimization
• Computational statistics
• Markov chain Monte Carlo
• Stochastic approximation
• Langevin dynamics
• Bayesian network

Open problems: Descending cohomology, geometrically compiled by Barry Mazur * Open problems in mathematics, statistics, theoretical computer science and related areas are welcome. Please contact the section editor Kefeng

Source URL: www.math.harvard.edu

Primal Sketch: Integrating Texture and Structure Cheng-en Guo, Song-Chun Zhu, and Ying Nian Wu Departments of Statistics and Computer Science University of California, Los Angeles Los Angeles, CA 90095 {cguo, sczhu, ywu@

Source URL: www.stat.ucla.edu

Programming with “Big Code”: Lessons, Techniques and Applications Pavol Bielik1 , Veselin Raychev1 , and Martin Vechev1 1 Department of Computer Science, ETH Zurich, Switzerland

Source URL: www.srl.inf.ethz.ch

• Computing
• Artificial intelligence
• Machine learning
• Graphical models
• Structured prediction
• Computational statistics
• Statistical classification
• Conditional random field
• Probabilistic programming language
• Inference
• Artificial neural network
• Support vector machine

∑ Romanian Society of Applied and Industrial Mathematics ∑ Faculty of Mathematics and Computer Science, University of Bucharest ∑ "Gh. Mihoc - C. Iacob" Institute of Mathematical Statistics and Applied Mathematics

Source URL: www.romai.ro