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ICPR
2008
IEEE
15 years 11 months ago
Pre-extracting method for SVM classification based on the non-parametric K-NN rule
With the increase of the training set’s size, the efficiency of support vector machine (SVM) classifier will be confined. To solve such a problem, a novel preextracting method f...
Deqiang Han, Chongzhao Han, Yi Yang, Yu Liu, Wenta...
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ICPR
2008
IEEE
15 years 11 months ago
Impact of feature correlations on separation between bivariate normal distributions
The impact of feature correlations on class separation has received limited attention from researchers. Previous reports treat the problem from the viewpoint of multi-classifier ...
Krzysztof Kryszczuk, Andrzej Drygajlo
ICRA
2008
IEEE
156views Robotics» more  ICRA 2008»
15 years 11 months ago
Removal of adherent noises from image sequences by spatio-temporal image processing
Abstract— This paper describes a method for removing adherent noises from image sequences. In outdoor environments, it is often the case that scenes taken by a camera are deterio...
Atsushi Yamashita, Isao Fukuchi, Toru Kaneko, Kenj...
IROS
2008
IEEE
122views Robotics» more  IROS 2008»
15 years 11 months ago
A probabilistic Programming by Demonstration framework handling constraints in joint space and task space
— We present a probabilistic architecture for solving generically the problem of extracting the task constraints through a Programming by Demonstration (PbD) framework and for ge...
Sylvain Calinon, Aude Billard
ISDA
2008
IEEE
15 years 11 months ago
Compute the Term Contributed Frequency
In this paper, we propose an algorithm and data structure for computing the term contributed frequency (tcf) for all N-grams in a text corpus. Although term frequency is one of th...
Cheng-Lung Sung, Hsu-Chun Yen, Wen-Lian Hsu