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SODA
2008
ACM
200views Algorithms» more  SODA 2008»
15 years 9 months ago
Clustering for metric and non-metric distance measures
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P, our goal is to find a set C of size k such that the s...
Marcel R. Ackermann, Johannes Blömer, Christi...
180
Voted
INTERSPEECH
2010
15 years 2 months ago
Unsupervised discovery and training of maximally dissimilar cluster models
One of the difficult problems of acoustic modeling for Automatic Speech Recognition (ASR) is how to adequately model the wide variety of acoustic conditions which may be present i...
Françoise Beaufays, Vincent Vanhoucke, Bria...
HAIS
2011
Springer
14 years 11 months ago
Clustering Ensemble for Spam Filtering
One of the main problems that modern e-mail systems face is the management of the high degree of spam or junk mail they recieve. Those systems are expected to be able to distinguis...
Santiago Porras, Bruno Baruque, Belén Vaque...
231
Voted
CLEF
2009
Springer
15 years 5 months ago
Clustering for Text and Image-Based Photo Retrieval at CLEF 2009
For this year's Image CLEF Photo Retrieval task, we have prepared 5 submission runs to help us assess the effectiveness of 1) image content-based retrieval, and 2) textbased ...
Qian Zhu, Diana Inkpen
TRECVID
2007
15 years 8 months ago
TRECVID 2007 High Level Feature Extraction experiments at JOANNEUM RESEARCH
This paper describes our experiments for the high level feature extraction task in TRECVid 2007. We submitted the following five runs: • A jr1 1: Baseline run using early fusio...
Roland Mörzinger, Georg Thallinger