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» Enhancing Text Analysis via Dimensionality Reduction
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ISBI
2007
IEEE
14 years 1 months ago
Statistical Shape Analysis via Principal Factor Analysis
Statistical shape analysis techniques commonly employed in the medical imaging community, such as Active Shape Models or Active Appearance Models, rely on Principal Component Anal...
Mauricio Reyes, Marius George Linguraru, Kostas Ma...
ICDAR
2009
IEEE
14 years 2 months ago
Threshold Correction of Document Image Binarization for Ruled-line Extraction
In this paper, a new threshold correction method for document image binarization that is forcused on ruled-line extraction is presented. This method enhances the binary image of a...
Hiroshi Tanaka
TNN
2008
105views more  TNN 2008»
13 years 7 months ago
Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection
Abstract--High-dimensional data are common in many domains, and dimensionality reduction is the key to cope with the curse-of-dimensionality. Linear discriminant analysis (LDA) is ...
Shuiwang Ji, Jieping Ye
DATE
2007
IEEE
86views Hardware» more  DATE 2007»
14 years 2 months ago
Reduction of detected acceptable faults for yield improvement via error-tolerance
Error-tolerance is an innovative way to enhance the effective yield of IC products. Previously a test methodology based on error-rate estimation to support error-tolerance was pro...
Tong-Yu Hsieh, Kuen-Jong Lee, Melvin A. Breuer
TKDE
2008
195views more  TKDE 2008»
13 years 7 months ago
Learning a Maximum Margin Subspace for Image Retrieval
One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow down this gap...
Xiaofei He, Deng Cai, Jiawei Han