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» Novel Auxiliary Techniques in Clustering
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ICDM
2006
IEEE
145views Data Mining» more  ICDM 2006»
14 years 1 months ago
Stability Region Based Expectation Maximization for Model-based Clustering
In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
IPPS
2000
IEEE
14 years 2 days ago
Image Layer Decomposition for Distributed Real-Time Rendering on Clusters
We propose a novel work partitioning technique, Image Layer Decomposition (ILD), designed specifically to support distributed real-time rendering on commodity clusters. ILD has s...
Thu D. Nguyen, John Zahorjan
AAAI
2007
13 years 10 months ago
Scaling Up: Solving POMDPs through Value Based Clustering
Partially Observable Markov Decision Processes (POMDPs) provide an appropriately rich model for agents operating under partial knowledge of the environment. Since finding an opti...
Yan Virin, Guy Shani, Solomon Eyal Shimony, Ronen ...
SASP
2009
IEEE
170views Hardware» more  SASP 2009»
14 years 2 months ago
Parade: A versatile parallel architecture for accelerating pulse train clustering
— In this paper, we present Parade, a novel and flexible parallel architecture for the deinterleaving of combined pulsetrains. This is a commonly performed task in various areas ...
Amin Ansari, Dan Zhang, Scott A. Mahlke
BIBE
2007
IEEE
147views Bioinformatics» more  BIBE 2007»
14 years 2 months ago
A New Alignment-Independent Algorithm for Clustering Protein Sequences
—The rapid burgeoning of available protein data makes the use of clustering within families of proteins increasingly important, the challenge is to identify subfamilies of evolut...
Abdellali Kelil, Shengrui Wang, Ryszard Brzezinski