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» Adaptive color reduction
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ICIP
2003
IEEE
16 years 19 days ago
Transductive inference for color-based particle filter tracking
Robust real-time tracking of non-rigid objects in a dynamic environment is a challenging task. Among various cues in tracking, color can provide an efficient visual cue for this t...
Jiang Li, Chin-Seng Chua
ICDM
2002
IEEE
158views Data Mining» more  ICDM 2002»
15 years 4 months ago
Adaptive dimension reduction for clustering high dimensional data
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...
Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst...
ESSCIRC
2011
93views more  ESSCIRC 2011»
13 years 10 months ago
12% Power reduction by within-functional-block fine-grained adaptive dual supply voltage control in logic circuits with 42 volta
— Within-functional-block fine-grained adaptive dual supply voltage control (FADVC) is proposed to reduce the power of CMOS logic circuits. Both process and design variations wi...
Atsushi Muramatsu, Tadashi Yasufuku, Masahiro Nomu...
ICPR
2006
IEEE
16 years 3 days ago
Dimensionality Reduction with Adaptive Kernels
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
Shuicheng Yan, Xiaoou Tang
ICML
2007
IEEE
15 years 11 months ago
Adaptive dimension reduction using discriminant analysis and K-means clustering
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...
Chris H. Q. Ding, Tao Li