2010 International Conference on Pattern Recognition Nonlinear mappings for generative kernels on latent variable models Anna Carli∗ , Manuele Bicego∗† , Sisto Baldo∗ and Vittorio Murino∗† ∗ Dipartimento d

Source URL: profs.sci.univr.it

• Machine learning
• Statistical classification
• Linear algebra
• Generative model
• Fisher kernel
• Kernel
• Hidden Markov model
• Pattern recognition
• Nonlinear system
• Statistics
• Mathematics
• Algebra

A Framework for Clustering Massive-Domain Data Streams Charu C. Aggarwal IBM T. J. Watson Research Center 19 Skyline Drive, Hawthorne, NY, USA [removed]

Source URL: charuaggarwal.net

• Cluster analysis
• Hashing
• Data mining
• Data stream clustering
• K-means clustering
• Count-Min sketch
• Segmentation
• Pattern recognition
• Determining the number of clusters in a data set
• Statistics
• Machine learning
• Multivariate statistics

PATTERN RECOGNITION AND MACHINE LEARNING CHAPTER 2: PROBABILITY DISTRIBUTIONS Parametric Distributions Basic building blocks:

Source URL: research.microsoft.com

Microsoft Word - KRBF1.doc

Source URL: www.recveb.ucsb.edu

• Radial basis function network
• Radial basis function
• Statistical classification
• Support vector machine
• Kernel principal component analysis
• Kernel Fisher discriminant analysis
• Pattern recognition
• Kernel methods
• Positive-definite kernel
• Statistics
• Machine learning
• Neural networks

Combining information theoretic kernels with generative embeddings for classification

Source URL: profs.sci.univr.it

• Statistical classification
• Categorical data
• Probabilistic latent semantic analysis
• Statistical natural language processing
• Fisher kernel
• Generative model
• Supervised learning
• Generative
• Pattern recognition
• Statistics
• Machine learning
• Probability and statistics

An Alternative Approach for Pattern Detection Applied to Materials Characterization Raul Queiroz Feitosa1,3, Guilherme Mota1, Sidnei Paciornik2 1 Dept. of Electrical Engeneering ; 2Dept. of Material Science

Source URL: wscg.zcu.cz

• Machine learning
• Computer vision
• Data analysis
• Principal component analysis
• Pattern recognition
• Dimension reduction
• Histogram equalization
• Template matching
• Neighborhood operation
• Statistics
• Image processing
• Multivariate statistics

Information Theory, Pattern Recognition and Neural Networks Handout 3 March 8, [removed]Course summary: central chapters Data compression and noisy channel coding (Chapters 1–6, 8–10, 14). (But omitting section 6.4 and

Source URL: wol.ra.phy.cam.ac.uk

• Information theory
• Science
• Communication
• Cybernetics
• Information Age

Pattern Recognition[removed]–1720 Contents lists available at SciVerse ScienceDirect Pattern Recognition journal homepage: www.elsevier.com/locate/pr

Source URL: www.cs.sfu.ca

• Information
• Relevance feedback
• Relevance
• Precision and recall
• Information science
• Information retrieval
• Science

Manifold Based Analysis of Facial Expression Changbo Hu, Ya Chang, Rogerio Feris, and Matthew Turk University of California, Santa Barbara {cbhu, yachang, rferis, mturk}@cs.ucsb.edu Abstract We propose a novel approach f

Source URL: www.recveb.ucsb.edu

• Face recognition
• Computational statistics
• Nonlinear dimensionality reduction
• Isomap
• Facial recognition system
• Generalized method of moments
• Mixture model
• Pattern recognition
• Manifold
• Statistics
• Machine learning
• Dimension reduction

Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models Andr´e F.T. Martins3 , Manuele Bicego1,2, Vittorio Murino1,2 , Pedro M.Q. Aguiar4 , and M´ ario A.T. Figueiredo3 1

Source URL: profs.sci.univr.it

• Category theory
• Fisher kernel
• Information retrieval
• Markov models
• Hidden Markov model
• Generative model
• Kernel
• Pattern recognition
• Discriminative model
• Statistics
• Machine learning
• Statistical classification