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NIPS
2007
13 years 9 months ago
Discriminative K-means for Clustering
We present a theoretical study on the discriminative clustering framework, recently proposed for simultaneous subspace selection via linear discriminant analysis (LDA) and cluster...
Jieping Ye, Zheng Zhao, Mingrui Wu
NECO
2011
13 years 3 months ago
Least-Squares Independent Component Analysis
Accurately evaluating statistical independence among random variables is a key element of Independent Component Analysis (ICA). In this paper, we employ a squared-loss variant of ...
Taiji Suzuki, Masashi Sugiyama
INFOCOM
2012
IEEE
11 years 10 months ago
NSDMiner: Automated discovery of Network Service Dependencies
—Enterprise networks today host a wide variety of network services, which often depend on each other to provide and support network-based services and applications. Understanding...
Arun Natarajan, Peng Ning, Yao Liu, Sushil Jajodia...
CIKM
2011
Springer
12 years 8 months ago
Focusing on novelty: a crawling strategy to build diverse language models
Word prediction performed by language models has an important role in many tasks as e.g. word sense disambiguation, speech recognition, hand-writing recognition, query spelling an...
Luciano Barbosa, Srinivas Bangalore
EMNLP
2009
13 years 6 months ago
Toward Completeness in Concept Extraction and Classification
Many algorithms extract terms from text together with some kind of taxonomic classification (is-a) link. However, the general approaches used today, and specifically the methods o...
Eduard H. Hovy, Zornitsa Kozareva, Ellen Riloff