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EACL
2006
ACL Anthology
15 years 9 months ago
Improving Probabilistic Latent Semantic Analysis with Principal Component Analysis
Probabilistic Latent Semantic Analysis (PLSA) models have been shown to provide a better model for capturing polysemy and synonymy than Latent Semantic Analysis (LSA). However, th...
Ayman Farahat, Francine Chen
ECIR
2006
Springer
15 years 9 months ago
Improving Quality of Search Results Clustering with Approximate Matrix Factorisations
Abstract. In this paper we show how approximate matrix factorisations can be used to organise document summaries returned by a search engine into meaningful thematic categories. We...
Stanislaw Osinski
ICVGIP
2004
15 years 9 months ago
Improved Cut-Based Foreground Identification
Automatic content based schemes, as opposed to those with human endeavor, have become important as users attempt to organize massive data presented in the form of multimedia data ...
Sharat Chandran, Satwik Hebbar, Vishal Mamania, Ab...
NAACL
2004
15 years 9 months ago
Improvements in Phrase-Based Statistical Machine Translation
In statistical machine translation, the currently best performing systems are based in some way on phrases or word groups. We describe the baseline phrase-based translation system...
Richard Zens, Hermann Ney
VMV
2001
119views Visualization» more  VMV 2001»
15 years 9 months ago
Improving Feature Tracking by Robust Points of interest Selection
This paper deals with robust point features selection for tracking. The aim is to identify unreliable features since the first frame so to track them in all the sequence. We exten...
Chafik Kermad, Christophe Collewet