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CSB
2005
IEEE
115views Bioinformatics» more  CSB 2005»
14 years 2 months ago
A New Clustering Strategy with Stochastic Merging and Removing Based on Kernel Functions
With hierarchical clustering methods, divisions or fusions, once made, are irrevocable. As a result, when two elements in a bottom-up algorithm are assigned to one cluster, they c...
Huimin Geng, Hesham H. Ali
GLOBECOM
2006
IEEE
14 years 2 months ago
Cluster-Based MIMO Channel Model Parameters Extracted from Indoor Time-Variant Measurements
— This paper presents a complete solution to the problem of how to parametrise cluster-based stochastic MIMO channel models from measurement data, with minimum user intervention....
Nicolai Czink, Ernst Bonek, Lassi Hentila, Jukka-P...
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
WEBI
2005
Springer
14 years 2 months ago
Integrating Element and Term Semantics for Similarity-Based XML Document Clustering
Structured link vector model (SLVM) is a recently proposed document representation that takes into account both structural and semantic information for measuring XML document simi...
Jianwu Yang, William K. Cheung, Xiaoou Chen
DEXA
2008
Springer
143views Database» more  DEXA 2008»
13 years 10 months ago
XML Filtering Using Dynamic Hierarchical Clustering of User Profiles
Information filtering systems constitute a critical component in modern information seeking applications. As the number of users grows and the information available becomes even bi...
Panagiotis Antonellis, Christos Makris