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» Using Clustering and Blade Clusters in the Terabyte Task
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INTERSPEECH
2010
13 years 3 months ago
Extractive summarization using a latent variable model
Extractive multi-document summarization is the task of choosing sentences from a set of documents to compose a summary text in response to a user query. We propose a generative ap...
Asli Çelikyilmaz, Dilek Hakkani-Tür
ESANN
2007
13 years 10 months ago
Kernel PCA based clustering for inducing features in text categorization
We study dimensionality reduction or feature selection in text document categorization problem. We focus on the first step in building text categorization systems, that is the cho...
Zsolt Minier, Lehel Csató
IJVR
2008
144views more  IJVR 2008»
13 years 7 months ago
PC Clusters for Virtual Reality
In the late 90's, the emergence of high-performance 3D commodity graphics cards paved the way to the use of PC clusters for high-performance Virtual Reality (VR) applications....
Luciano P. Soares, Bruno Raffin, Joaquim A. Jorge
CLEF
2008
Springer
13 years 10 months ago
Using Visual Concepts and Fast Visual Diversity to Improve Image Retrieval
In this article, we focus our efforts (i) on the study of how to automatically extract and exploit visual concepts and (ii) on fast visual diversity. First, in the Visual Concept D...
Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tab...
COLING
2008
13 years 10 months ago
CollabRank: Towards a Collaborative Approach to Single-Document Keyphrase Extraction
Previous methods usually conduct the keyphrase extraction task for single documents separately without interactions for each document, under the assumption that the documents are ...
Xiaojun Wan, Jianguo Xiao