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AI
2008
Springer
13 years 10 months ago
A Statistical Model for Topic Segmentation and Clustering
This paper presents a statistical model for discovering topical clusters of words in unstructured text. The model uses a hierarchical Bayesian structure and it is also able to iden...
M. Mahdi Shafiei, Evangelos E. Milios
ESANN
2008
13 years 9 months ago
Clustering of Self-Organizing Map
Abstract. In this paper, we present a new similarity measure for a clustering self-organizing map which will be reached using a new approach of hierarchical clustering. (1) The sim...
Hanane Azzag, Mustapha Lebbah
TKDE
2008
175views more  TKDE 2008»
13 years 7 months ago
Efficient Phrase-Based Document Similarity for Clustering
Phrase has been considered as a more informative feature term for improving the effectiveness of document clustering. In this paper, we propose a phrase-based document similarity t...
Hung Chim, Xiaotie Deng
ICASSP
2011
IEEE
12 years 11 months ago
Bayesian Compressive Sensing for clustered sparse signals
In traditional framework of Compressive Sensing (CS), only sparse prior on the property of signals in time or frequency domain is adopted to guarantee the exact inverse recovery. ...
Lei Yu, Hong Sun, Jean-Pierre Barbot, Gang Zheng
DCOSS
2007
Springer
14 years 2 months ago
An Adaptive Scheduling Protocol for Multi-scale Sensor Network Architecture
In self-organizing networks of battery-powered wireless sensors that can sense, process, and communicate, energy is the most crucial and scarce resource. However, since sensor netw...
Santashil PalChaudhuri, David B. Johnson