IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 24, NO. 11, NOVEMBERManifold Kernel Sparse Representation of Symmetric Positive-Definite Matrices

Source URL: eeeweba.ntu.edu.sg

Genome Informatics 13: 112–Marginalized Kernels for RNA Sequence Data Analysis Taishin Kin

Source URL: www.jsbi.org

• Algebra
• Mathematics
• Linear algebra
• Multivariate statistics
• Hilbert space
• Operator theory
• Geostatistics
• Kernel method
• Transfer RNA
• Kernel principal component analysis
• Positive-definite kernel
• Kernel

SOME TRANSFORMS IN FUNCTIONAL ANALYSIS VIPUL NAIK Abstract. This article describes some of the ideas and concerns that one needs to keep in mind when performing transforms in functional analysis.

Source URL: files.vipulnaik.com

• Mathematical analysis
• Fourier analysis
• Mathematical physics
• Operator theory
• Integral transforms
• Quantum mechanics
• Fourier transform
• WignerWeyl transform
• Positive-definite kernel
• Lp space
• Multiplier
• Fourier series

A Principled Kernel Testbed for Hardware/Software Co-Design Research Alex Kaiser, Samuel Williams, Kamesh Madduri, Khaled Ibrahim, David Bailey, James Demmel, Erich Strohmaier Computational Research Division Lawrence Ber

Source URL: crd.lbl.gov

• Computing
• Numerical linear algebra
• Numerical software
• LINPACK benchmarks
• NAS Parallel Benchmarks
• Software
• Basic Linear Algebra Subprograms
• Benchmark
• Kernel
• Mach
• Positive-definite kernel

Journal of Machine Learning Research1561 Submitted 8/09; Revised 3/10; Published 4/10 Hilbert Space Embeddings and Metrics on Probability Measures Bharath K. Sriperumbudur

Source URL: eceweb.ucsd.edu

• Mathematical analysis
• Mathematics
• Analysis
• Hilbert space
• Fourier analysis
• Generalized functions
• Functional analysis
• Operator theory
• Reproducing kernel Hilbert space
• Positive-definite kernel
• Dirac delta function
• Convolution

© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promo

Source URL: www.wjscheirer.com

• Learning
• Machine learning
• Artificial intelligence
• Statistical classification
• Support vector machine
• Kernel method
• Supervised learning
• Pattern recognition
• Semi-supervised learning
• Positive-definite kernel
• Binary classification
• Decision boundary

Adaptively Learning the Crowd Kernel Omer Tamuz Microsoft Research New England and Weizmann Institute of Science Ce Liu Microsoft Research New England

Source URL: research.microsoft.com

• Statistics
• Multivariate statistics
• Data analysis
• Machine learning
• Statistical classification
• Dimension reduction
• Support vector machine
• Multidimensional scaling
• Similarity measure
• Principal component analysis
• K-nearest neighbors algorithm
• Positive-definite kernel

570 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 20, NO. 2, FEBRUARY 2011 Contextual Object Localization With Multiple Kernel Nearest Neighbor

Source URL: eceweb.ucsd.edu

• Machine learning
• Artificial intelligence
• Learning
• Image processing
• Feature detection
• K-nearest neighbors algorithm
• Statistical classification
• Multiple kernel learning
• Kernel
• Image segmentation
• Outline of object recognition
• Positive-definite kernel

Spectral Graph Theory Lecture 8 Effective Resistance and Schur Complements Daniel A. Spielman

Source URL: www.cs.yale.edu

• Algebra
• Mathematics
• Matrices
• Laplacian matrix
• Kernel
• Matrix
• Positive-definite matrix

Chapter 14 Regularization In several sections of this book we touched on the topic of regularization (see, e.g., §and §A variety of statistical procedures and machine learning algorithms employ regular

Source URL: johnstachurski.net

• Nonparametric statistics
• Kernel density estimation
• Density estimation
• Normal distribution
• Convolution
• Standard deviation
• Positive-definite kernel
• Multivariate kernel density estimation
• Kernel embedding of distributions