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» On Feature Selection through Clustering
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ISCAS
2005
IEEE
134views Hardware» more  ISCAS 2005»
14 years 1 months ago
Video shot segmentation using fusion of SVD and mutual information features
— A new method for detecting shot boundaries in video sequences by fusing features obtained by singular value decomposition (SVD) and mutual information (MI) is proposed. The fi...
Zuzana Cernekova, Constantine Kotropoulos, Nikolao...
SEMCO
2007
IEEE
14 years 2 months ago
Evolutionary Conceptual Clustering of Semantically Annotated Resources
A clustering method is presented which can be applied to knowledge bases storing semantically annotated resources. The method can be used to discover groupings of structured objec...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
TASLP
2008
143views more  TASLP 2008»
13 years 7 months ago
Strategies to Improve the Robustness of Agglomerative Hierarchical Clustering Under Data Source Variation for Speaker Diarizatio
Many current state-of-the-art speaker diarization systems exploit agglomerative hierarchical clustering (AHC) as their speaker clustering strategy, due to its simple processing str...
K. J. Han, S. Kim, S. S. Narayanan
JMLR
2012
11 years 10 months ago
Maximum Margin Temporal Clustering
Temporal Clustering (TC) refers to the factorization of multiple time series into a set of non-overlapping segments that belong to k temporal clusters. Existing methods based on e...
Minh Hoai Nguyen, Fernando De la Torre
VLSID
2007
IEEE
154views VLSI» more  VLSID 2007»
14 years 8 months ago
Application Specific Datapath Extension with Distributed I/O Functional Units
Performance of an application can be improved through augmenting the processor with Application specific Functional Units (AFUs). Usually a cluster of operations identified from th...
Nagaraju Pothineni, Anshul Kumar, Kolin Paul