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118
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ICDM
2010
IEEE
119views Data Mining» more  ICDM 2010»
15 years 5 days ago
Visually Controllable Data Mining Methods
A large number of data mining methods are, as such, not applicable to fast, intuitive, and interactive use. Thus, there is a need for visually controllable data mining methods. Suc...
Kai Puolamäki, Panagiotis Papapetrou, Jefrey ...
123
Voted
ICASSP
2009
IEEE
15 years 9 months ago
Fast LCD motion deblurring by decimation and optimization
The LCD deblurring problem is considered as a simple bounded quadratic programming problem and is solved using conjugate gradient with early stopping criteria to avoid excessive s...
Stanley H. Chan, Truong Q. Nguyen
ICCSA
2003
Springer
15 years 7 months ago
A Fast Algorithm for Moving Interface Problems
Numerical simulations of a spherical shock refraction have been successfully conducted by a front tracking method. We demonstrate the e ciency of the front tracking algorithm by co...
Srabasti Dutta, James Glimm, John W. Grove, David ...
106
Voted
KDD
2008
ACM
167views Data Mining» more  KDD 2008»
16 years 2 months ago
A sequential dual method for large scale multi-class linear svms
Efficient training of direct multi-class formulations of linear Support Vector Machines is very useful in applications such as text classification with a huge number examples as w...
S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang...
126
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Acceleration of adaptive proximal forward-backward splitting method and its application to sparse system identification
In this paper, we propose an acceleration technique of the adaptive filtering scheme called adaptive proximal forward-backward splitting method. For accelerating the convergence ...
Masao Yamagishi, Masahiro Yukawa, Isao Yamada