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134
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DATE
2002
IEEE
94views Hardware» more  DATE 2002»
15 years 8 months ago
FACTOR: A Hierarchical Methodology for Functional Test Generation and Testability Analysis
This paper develops an improved approach for hierarchical functional test generation for complex chips. In order to deal with the increasing complexity of functional test generati...
Vivekananda M. Vedula, Jacob A. Abraham
135
Voted
AAAI
2006
15 years 5 months ago
Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization
We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of classes and a small size of training data. The key a...
Yi Liu, Rong Jin, Liu Yang
167
Voted
CVPR
2011
IEEE
14 years 11 months ago
High-resolution Hyperspectral Imaging via Matrix Factorization
Hyperspectral imaging is a promising tool for applications in geosensing, cultural heritage and beyond. However, compared to current RGB cameras, existing hyperspectral cameras ar...
Rei Kawakami, John Wright, Yu-Wing Tai, Yasuyuki M...
PKDD
2009
Springer
129views Data Mining» more  PKDD 2009»
15 years 10 months ago
Considering Unseen States as Impossible in Factored Reinforcement Learning
Abstract. The Factored Markov Decision Process (FMDP) framework is a standard representation for sequential decision problems under uncertainty where the state is represented as a ...
Olga Kozlova, Olivier Sigaud, Pierre-Henri Wuillem...
137
Voted
ECWEB
2006
Springer
126views ECommerce» more  ECWEB 2006»
15 years 7 months ago
Web User Segmentation Based on a Mixture of Factor Analyzers
Abstract. This paper proposes an approach for Web user segmentation and online behavior analysis based on a mixture of factor analyzers (MFA). In our proposed framework, we model u...
Yanzan Zhou, Bamshad Mobasher