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ICASSP
2011
IEEE
14 years 1 months ago
Outlier-aware robust clustering
Clustering is a basic task in a variety of machine learning applications. Partitioning a set of input vectors into compact, wellseparated subsets can be severely affected by the p...
Pedro A. Forero, Vassilis Kekatos, Georgios B. Gia...
INTERSPEECH
2010
14 years 4 months ago
Specification in context - devoicing processes in Polish, French, american English and German sonorants
This study investigates voicing properties of Polish, French, American English and German sonorant consonants, particularly rhotics. The analysis was conducted on four speech data...
Jagoda Sieczkowska, Bernd Möbius, Grzegorz Do...
ISHPC
2003
Springer
15 years 3 months ago
Evaluating Heuristic Scheduling Algorithms for High Performance Parallel Processing
Most cluster systems used in high performance computing do not allow process relocation at run-time. Finding an allocation that results in minimal completion time is NP-hard and (n...
Lars Lundberg, Magnus Broberg, Kamilla Klonowska
ICASSP
2010
IEEE
14 years 10 months ago
Convergence analysis of consensus-based distributed clustering
This paper deals with clustering of spatially distributed data using wireless sensor networks. A distributed low-complexity clustering algorithm is developed that requires one-hop...
Pedro A. Forero, Alfonso Cano, Georgios B. Giannak...
ICA
2007
Springer
15 years 1 months ago
Text Clustering on Latent Thematic Spaces: Variants, Strengths and Weaknesses
Deriving a thematically meaningful partition of an unlabeled document corpus is a challenging task. In this context, the use of document representations based on latent thematic ge...
Xavier Sevillano, Germán Cobo, Francesc Al&...