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ACL
2001
15 years 8 months ago
Multi-Class Composite N-gram Language Model for Spoken Language Processing Using Multiple Word Clusters
In this paper, a new language model, the Multi-Class Composite N-gram, is proposed to avoid a data sparseness problem for spoken language in that it is difficult to collect traini...
Hirofumi Yamamoto, Shuntaro Isogai, Yoshinori Sagi...
ICASSP
2010
IEEE
15 years 6 months ago
A nonnegative sparsity induced similarity measure with application to cluster analysis of spam images
Image spam is an email spam that embeds text content into graphical images to bypass traditional spam filters. The majority of previous approaches focus on filtering image spam ...
Yan Gao, Alok N. Choudhary, Gang Hua
CSDA
2006
85views more  CSDA 2006»
15 years 6 months ago
Two-way Poisson mixture models for simultaneous document classification and word clustering
An approach to simultaneous document classification and word clustering is developed using a two-way mixture model of Poisson distributions. Each document is represented by a vect...
Jia Li, Hongyuan Zha
IJBRA
2008
63views more  IJBRA 2008»
15 years 6 months ago
Protein cavity clustering based on community structure of pocket similarity network
: Functions of a protein are mainly determined by its structure. Surface cavities, also called pockets or clefts, are ordinarily regarded as potentially active sites where the prot...
Zhi-Ping Liu, Ling-Yun Wu, Yong Wang, Xiang-Sun Zh...
IPPS
2010
IEEE
15 years 4 months ago
Servet: A benchmark suite for autotuning on multicore clusters
Abstract--The growing complexity in computer system hierarchies due to the increase in the number of cores per processor, levels of cache (some of them shared) and the number of pr...
Jorge González-Domínguez, Guillermo ...