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» High Performance Clustering Based on the Similarity Join
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CSIE
2009
IEEE
15 years 10 months ago
K-Means on Commodity GPUs with CUDA
K-means algorithm is one of the most famous unsupervised clustering algorithms. Many theoretical improvements for the performance of original algorithms have been put forward, whi...
Hong-tao Bai, Li-li He, Dan-tong Ouyang, Zhan-shan...
IDA
2007
Springer
15 years 6 months ago
Removing biases in unsupervised learning of sequential patterns
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
Yoav Horman, Gal A. Kaminka
MICRO
2003
IEEE
143views Hardware» more  MICRO 2003»
15 years 11 months ago
VSV: L2-Miss-Driven Variable Supply-Voltage Scaling for Low Power
Energy-efficient processor design is becoming more and more important with technology scaling and with high performance requirements. Supply-voltage scaling is an efficient way to...
Hai Li, Chen-Yong Cher, T. N. Vijaykumar, Kaushik ...
BMCBI
2008
132views more  BMCBI 2008»
15 years 6 months ago
SCOWLP classification: Structural comparison and analysis of protein binding regions
Background: Detailed information about protein interactions is critical for our understanding of the principles governing protein recognition mechanisms. The structures of many pr...
Joan Teyra, Maciej Paszkowski-Rogacz, Gerd Anders,...
ICMCS
2007
IEEE
138views Multimedia» more  ICMCS 2007»
16 years 13 days ago
A Compact and Efficient Color Descriptor for Image Retrieval
— An important problem in color based image retrieval is the lack of efficient way to represent both the color and the spatial structure information with single descriptor. To so...
Ka-Man Wong, Lai-Man Po, Kwok-Wai Cheung