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2004
ACM
15 years 9 months ago
A Self-Organizing Storage Cluster for Parallel Data-Intensive Applications
Cluster-based storage systems are popular for data-intensive applications and it is desirable yet challenging to provide incremental expansion and high availability while achievin...
Hong Tang, Aziz Gulbeden, Jingyu Zhou, William Str...
ASIACRYPT
2009
Springer
15 years 11 months ago
Linearization Framework for Collision Attacks: Application to CubeHash and MD6
In this paper, an improved differential cryptanalysis framework for finding collisions in hash functions is provided. Its principle is based on linearization of compression functi...
Eric Brier, Shahram Khazaei, Willi Meier, Thomas P...
JIPS
2007
103views more  JIPS 2007»
15 years 4 months ago
Feature Extraction of Concepts by Independent Component Analysis
: Semantic clustering is important to various fields in the modern information society. In this work we applied the Independent Component Analysis method to the extraction of the f...
Altangerel Chagnaa, Cheolyoung Ock, Chang Beom Lee...
ICCAD
2000
IEEE
104views Hardware» more  ICCAD 2000»
15 years 8 months ago
Diagnosis of Interconnect Faults in Cluster-Based FPGA Architectures
— Fault diagnosis has particular importance in the context of field programmable gate arrays (FPGAs) because faults can be avoided by reconfiguration at almost no real cost. Cl...
Ian G. Harris, Russell Tessier
CSDA
2010
105views more  CSDA 2010»
15 years 4 months ago
James-Stein shrinkage to improve k-means cluster analysis
We study a general algorithm to improve accuracy in cluster analysis that employs the James-Stein shrinkage effect in k-means clustering. We shrink the centroids of clusters towar...
Jinxin Gao, David B. Hitchcock