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...
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 ...
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...
— 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...
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...