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» Sampling Techniques for Kernel Methods
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NIPS
2004
15 years 4 months ago
Maximum Margin Clustering
We propose a new method for clustering based on finding maximum margin hyperplanes through data. By reformulating the problem in terms of the implied equivalence relation matrix, ...
Linli Xu, James Neufeld, Bryce Larson, Dale Schuur...
IFL
2005
Springer
103views Formal Methods» more  IFL 2005»
15 years 8 months ago
The Implementation of iData
The iData Toolkit is a toolkit that allows programmers to create interactive, type-safe, dynamic web applications with state on a high level of abstraction. The key element of this...
Rinus Plasmeijer, Peter Achten
114
Voted
MICAI
2004
Springer
15 years 8 months ago
Faster Proximity Searching in Metric Data
A number of problems in computer science can be solved efficiently with the so called memory based or kernel methods. Among this problems (relevant to the AI community) are multime...
Edgar Chávez, Karina Figueroa
142
Voted
DAC
2010
ACM
15 years 3 months ago
Parallel hierarchical cross entropy optimization for on-chip decap budgeting
Decoupling capacitor (decap) placement has been widely adopted as an effective way to suppress dynamic power supply noise. Traditional decap budgeting algorithms usually explore t...
Xueqian Zhao, Yonghe Guo, Zhuo Feng, Shiyan Hu
ICIP
2001
IEEE
16 years 4 months ago
DWT based non-parametric texture modeling
We propose a non-parametric texture modeling and synthesis technique based on the integer version of the Discrete Wavelet Transform (DWT). The successive levels of the DWT pyramid...
Gloria Menegaz