Sciweavers

186 search results - page 4 / 38
» Fast Transformation-Invariant Component Analysis
Sort
View
ICMCS
2008
IEEE
177views Multimedia» more  ICMCS 2008»
15 years 9 months ago
Fast image super-resolution using Connected Component enhancement
The paper focuses on reconstructing the discontinuity between homogenous color regions in an interpolated image to improve its perceptual quality. A low-resolution input image is ...
Jinjun Wang, Yihong Gong
ICA
2007
Springer
15 years 9 months ago
Comparative Speed Analysis of FastICA
FastICA is arguably one of the most widespread methods for independent component analysis. We focus on its deflation-based implementation, where the independent components are ext...
Vicente Zarzoso, Pierre Comon
JMLR
2010
144views more  JMLR 2010»
14 years 10 months ago
Practical Approaches to Principal Component Analysis in the Presence of Missing Values
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
Alexander Ilin, Tapani Raiko
ICRA
2008
IEEE
170views Robotics» more  ICRA 2008»
15 years 9 months ago
Human detection using iterative feature selection and logistic principal component analysis
— We present a fast feature selection algorithm suitable for object detection applications where the image being tested must be scanned repeatedly to detected the object of inter...
Wael Abd-Almageed, Larry S. Davis
NIPS
2004
15 years 4 months ago
Neighbourhood Components Analysis
In this paper we propose a novel method for learning a Mahalanobis distance measure to be used in the KNN classification algorithm. The algorithm directly maximizes a stochastic v...
Jacob Goldberger, Sam T. Roweis, Geoffrey E. Hinto...