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AAAI
2008
15 years 4 months ago
Classification by Discriminative Regularization
Classification is one of the most fundamental problems in machine learning, which aims to separate the data from different classes as far away as possible. A common way to get a g...
Bin Zhang, Fei Wang, Ta-Hsin Li, Wen Jun Yin, Jin ...
MVA
2007
146views Computer Vision» more  MVA 2007»
15 years 3 months ago
A SVM Based Method to Detect Color Shift Defects in IC Packages
Automated Visual Inspection (AVI) is an essential part in the manufacturing process of Integrated Circuit (IC) packages. Contamination a common defect type found in IC packages ap...
R. M. C. B. Ratnayake, Craig Hicks, M. A. Akbari
ACL
2003
15 years 3 months ago
Syntactic Features and Word Similarity for Supervised Metonymy Resolution
We present a supervised machine learning algorithm for metonymy resolution, which exploits the similarity between examples of conventional metonymy. We show that syntactic head-mo...
Malvina Nissim, Katja Markert
WIIW
2001
107views more  WIIW 2001»
15 years 3 months ago
Multifaceted Exploitation of Metadata for Attribute Match Discovery in Information Integration
Automating semantic matching of attributes for the purpose of information integration is challenging, and the dynamics of the Web further exacerbate this problem. Believing that m...
David W. Embley, David Jackman, Li Xu
124
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ICASSP
2010
IEEE
15 years 2 months ago
A nullspace analysis of the nuclear norm heuristic for rank minimization
The problem of minimizing the rank of a matrix subject to linear equality constraints arises in applications in machine learning, dimensionality reduction, and control theory, and...
Krishnamurthy Dvijotham, Maryam Fazel