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» On the Comparability of Software Clustering Algorithms
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CCGRID
2008
IEEE
14 years 2 months ago
MPI Collectives on Modern Multicore Clusters: Performance Optimizations and Communication Characteristics
The advances in multicore technology and modern interconnects is rapidly accelerating the number of cores deployed in today’s commodity clusters. A majority of parallel applicat...
Amith R. Mamidala, Rahul Kumar, Debraj De, Dhabale...
ICIP
2006
IEEE
14 years 9 months ago
Content-Adaptive Video Summarization Combining Queueing and Clustering
This paper presents an efficient three-step algorithm to compute key frames for summarization and indexing of digital videos. In the preprocessing step, we remove the video frames...
Tiecheng Liu, Ravi Katpelly
SETN
2004
Springer
14 years 1 months ago
Incremental Mixture Learning for Clustering Discrete Data
Abstract. This paper elaborates on an efficient approach for clustering discrete data by incrementally building multinomial mixture models through likelihood maximization using the...
Konstantinos Blekas, Aristidis Likas
JIFS
2008
155views more  JIFS 2008»
13 years 8 months ago
Improving supervised learning performance by using fuzzy clustering method to select training data
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...
PR
2007
189views more  PR 2007»
13 years 7 months ago
Information cut for clustering using a gradient descent approach
We introduce a new graph cut for clustering which we call the Information Cut. It is derived using Parzen windowing to estimate an information theoretic distance measure between p...
Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II...