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ICDM
2006
IEEE
225views Data Mining» more  ICDM 2006»
16 years 21 days ago
Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels
Choosing an appropriate kernel is one of the key problems in kernel-based methods. Most existing kernel selection methods require that the class labels of the training examples ar...
Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
IPPS
2006
IEEE
16 years 21 days ago
An adaptive dynamic grid-based approach to data distribution management
a This paper presents a novel Adaptive Dynamic Gridbased Data Distribution Management (DDM) scheme, which we refer to as ADGB. The main objective of our protocol is to optimize DDM...
Azzedine Boukerche, YunFeng Gu, Regina Borges de A...
ASPDAC
2006
ACM
108views Hardware» more  ASPDAC 2006»
16 years 19 days ago
Mathematically assisted adaptive body bias (ABB) for temperature compensation in gigascale LSI systems
— Process variations and temperature variations can cause both the frequency and the leakage of the chip to vary significantly from their expected values, thereby decreasing the...
Sanjay V. Kumar, Chris H. Kim, Sachin S. Sapatneka...
CEC
2005
IEEE
16 years 9 days ago
Adaptive cluster covering and evolutionary approach: comparison, differences and similarities
In case the objective function to be minimized is not known analytically and no assumption can be made about the single extremum, global optimization (GO) methods must be used. Pap...
Dimitri P. Solomatine
DAGM
2004
Springer
16 years 2 days ago
Adaptive Feature Selection in Image Segmentation
Most image segmentation algorithms optimize some mathematical similarity criterion derived from several low-level image features. One possible way of combining different types of f...
Volker Roth, Tilman Lange