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EMMCVPR
2005
Springer
16 years 8 days ago
Increasing Efficiency of SVM by Adaptively Penalizing Outliers
In this paper, a novel training method is proposed to increase the classification efficiency of support vector machine (SVM). The efficiency of the SVM is determined by the number ...
Yiqiang Zhan, Dinggang Shen
ECCV
2004
Springer
16 years 4 days ago
Robust Fitting by Adaptive-Scale Residual Consensus
Computer vision tasks often require the robust fit of a model to some data. In a robust fit, two major steps should be taken: i) robustly estimate the parameters of a model, and ii...
Hanzi Wang, David Suter
ISCAS
2003
IEEE
92views Hardware» more  ISCAS 2003»
16 years 22 hour ago
Motion adaptive de-interlacing by horizontal motion detection and enhanced ELA processing
A motion adaptive de-interlacing algorithm and its hardware architecture are presented in this paper. It consists the directional interpolation - ELA with median processing, and 4...
Shyh-Feng Lin, Yu-Lin Chang, Liang-Gee Chen
DAWAK
2001
Springer
15 years 11 months ago
Adaptable Similarity Search Using Vector Quantization
Adaptable similarity queries based on quadratic form distance functions are widely popular in data mining applications, particularly for domains such as multimedia, CAD, molecular ...
Christian Böhm, Hans-Peter Kriegel, Thomas Se...
PCM
2001
Springer
183views Multimedia» more  PCM 2001»
15 years 11 months ago
An Adaptive Index Structure for High-Dimensional Similarity Search
A practical method for creating a high dimensional index structure that adapts to the data distribution and scales well with the database size, is presented. Typical media descrip...
Peng Wu, B. S. Manjunath, Shivkumar Chandrasekaran