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» Kernel Independent Component Analysis
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NIPS
2004
13 years 9 months ago
Kernel Projection Machine: a New Tool for Pattern Recognition
This paper investigates the effect of Kernel Principal Component Analysis (KPCA) within the classification framework, essentially the regularization properties of this dimensional...
Laurent Zwald, Régis Vert, Gilles Blanchard...
ICDAR
2011
IEEE
12 years 7 months ago
Language-Independent Text Lines Extraction Using Seam Carving
Abstract—In this paper, we present a novel languageindependent algorithm for extracting text-lines from handwritten document images. Our algorithm is based on the seam carving ap...
Raid Saabni, Jihad El-Sana
ISCAS
2005
IEEE
131views Hardware» more  ISCAS 2005»
14 years 1 months ago
Blind signal separation into groups of dependent signals using joint block diagonalization
— Multidimensional or group independent component analysis describes the task of transforming a multivariate observed sensor signal such that groups of the transformed signal com...
Fabian J. Theis
ACML
2009
Springer
14 years 2 months ago
Estimating Likelihoods for Topic Models
Abstract. Topic models are a discrete analogue to principle component analysis and independent component analysis that model topic at the word level within a document. They have ma...
Wray L. Buntine
SLSFS
2005
Springer
14 years 1 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