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» Approximating Component Selection
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ICPR
2004
IEEE
15 years 10 months ago
Classification Probability Analysis of Principal Component Null Space Analysis
In a previous paper [1], we have presented a new linear classification algorithm, Principal Component Null Space Analysis (PCNSA) which is designed for problems like object recogn...
Namrata Vaswani, Rama Chellappa
GLOBECOM
2009
IEEE
15 years 4 months ago
Data Acquisition through Joint Compressive Sensing and Principal Component Analysis
—In this paper we look at the problem of accurately reconstructing distributed signals through the collection of a small number of samples at a data gathering point. The techniqu...
Riccardo Masiero, Giorgio Quer, Daniele Munaretto,...
SLSFS
2005
Springer
15 years 3 months ago
Discrete Component Analysis
Abstract. This article presents a unified theory for analysis of components in discrete data, and compares the methods with techniques such as independent component analysis, non-...
Wray L. Buntine, Aleks Jakulin
COLT
2010
Springer
14 years 7 months ago
Principal Component Analysis with Contaminated Data: The High Dimensional Case
We consider the dimensionality-reduction problem (finding a subspace approximation of observed data) for contaminated data in the high dimensional regime, where the number of obse...
Huan Xu, Constantine Caramanis, Shie Mannor
ECIR
2007
Springer
14 years 11 months ago
Term Selection and Query Operations for Video Retrieval
Abstract. We investigate the influence of term selection and query operations on the text retrieval component of video search. Our main finding is that the greatest gain is to be...
Bouke Huurnink, Maarten de Rijke