287 search results - page 23 / 58 » Optimal Solutions for Sparse Principal Component Analysis |
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
In this paper, we address the problem of finding the pre-image of a feature vector in the feature space induced by a kernel. This is of central importance in some kernel applicatio...
86
Voted
ICCV
2003
IEEE
15 years 11 months ago
2003
IEEE
We propose modeling images and related visual objects as bags of pixels or sets of vectors. For instance, gray scale images are modeled as a collection or bag of (X, Y, I) pixel v...
ICDCS
2005
IEEE
15 years 3 months ago
2005
IEEE
Stream processing has become increasingly important with emergence of stream applications such as audio/video surveillance, stock price tracing, and sensor data analysis. A challe...
NECO
2010
14 years 8 months ago
2010
Neurons in the input layer of primary visual cortex in primates develop edge-like receptive fields. One approach to understanding the emergence of this response is to state that ...
NIPS
2008
14 years 11 months ago
2008
We analyse matching pursuit for kernel principal components analysis (KPCA) by proving that the sparse subspace it produces is a sample compression scheme. We show that this bound...