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PR
2006
76views more  PR 2006»
15 years 6 months ago
Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints
Relevant component analysis (RCA) is a recently proposed metric learning method for semi-supervised learning applications. It is a simple and efficient method that has been applie...
Dit-Yan Yeung, Hong Chang
ITC
1999
IEEE
59views Hardware» more  ITC 1999»
15 years 10 months ago
Static component interconnection test technology in practice
Static Component Interconnection Test Technology (SCITT) is a new XNOR circuit based technology that is used for board-level interconnection test. SCITT provides an easy test meth...
Frans De Jong, Rob Raaijmakers
COMPLIFE
2006
Springer
15 years 9 months ago
Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models
We present a method for simultaneous dimension reduction and metastability analysis of high dimensional time series. The approach is based on the combination of hidden Markov model...
Illia Horenko, Johannes Schmidt-Ehrenberg, Christo...
AVSS
2009
IEEE
15 years 3 months ago
A Classification Architecture Based on Connected Components for Text Detection in Unconstrained Environments
The paper presents a method for efficient text detection in unconstrained environments, based on image features derived from connected components and on a classification architect...
Luca Zini, Augusto Destrero, Francesca Odone
ACL
2011
14 years 9 months ago
Unsupervised Decomposition of a Document into Authorial Components
We propose a novel unsupervised method for separating out distinct authorial components of a document. In particular, we show that, given a book artificially “munged” from two...
Moshe Koppel, Navot Akiva, Idan Dershowitz, Nachum...