Sciweavers

292 search results - page 42 / 59
» Accelerated Kernel Feature Analysis
Sort
View
DIS
2007
Springer
14 years 2 months ago
A Hilbert Space Embedding for Distributions
We describe a technique for comparing distributions without the need for density estimation as an intermediate step. Our approach relies on mapping the distributions into a reprodu...
Alexander J. Smola, Arthur Gretton, Le Song, Bernh...
MM
2005
ACM
215views Multimedia» more  MM 2005»
14 years 1 months ago
OpenVIDIA: parallel GPU computer vision
Graphics and vision are approximate inverses of each other: ordinarily Graphics Processing Units (GPUs) are used to convert “numbers into pictures” (i.e. computer graphics). I...
James Fung, Steve Mann
ICONIP
2007
13 years 9 months ago
Using Image Stimuli to Drive fMRI Analysis
We introduce a new unsupervised fMRI analysis method based on Kernel Canonical Correlation Analysis which differs from the class of supervised learning methods that are increasing...
David R. Hardoon, Janaina Mourão Miranda, M...
TRETS
2010
142views more  TRETS 2010»
13 years 6 months ago
Performance Analysis Framework for High-Level Language Applications in Reconfigurable Computing
s, and abstractions, typically enabling faster development times than with traditional Hardware ion Languages (HDLs). However, programming at a higher level of abstraction is typic...
John Curreri, Seth Koehler, Alan D. George, Brian ...
PR
2008
129views more  PR 2008»
13 years 7 months ago
A comparison of generalized linear discriminant analysis algorithms
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
Cheong Hee Park, Haesun Park