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MLDM
2009
Springer
16 years 28 days ago
Regional Pattern Discovery in Geo-referenced Datasets Using PCA
Existing data mining techniques mostly focus on finding global patterns and lack the ability to systematically discover regional patterns. Most relationships in spatial datasets ar...
Oner Ulvi Celepcikay, Christoph F. Eick, Carlos Or...
MM
2004
ACM
248views Multimedia» more  MM 2004»
15 years 11 months ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He
KBSE
2002
IEEE
15 years 11 months ago
Deviation Analysis Through Model Checking
Inaccuracies, or deviations, in the measurements of monitored variables in a control system are facts of life that control software must accommodate—the software is expected to ...
Mats Per Erik Heimdahl, Yunja Choi, Michael W. Wha...
HPCA
2000
IEEE
15 years 10 months ago
Coherence Communication Prediction in Shared-Memory Multiprocessors
Abstract—Sharing patterns in shared-memory multiprocessors are the key to performance: uniprocessor latencytolerating techniques such as out-of-order execution and non-blocking c...
Stefanos Kaxiras, Cliff Young
BMCBI
2006
121views more  BMCBI 2006»
15 years 6 months ago
Splice site identification using probabilistic parameters and SVM classification
Background: Recent advances and automation in DNA sequencing technology has created a vast amount of DNA sequence data. This increasing growth of sequence data demands better and ...
A. K. M. A. Baten, Bill C. H. Chang, Saman K. Halg...