This paper proposes a new learning method, which integrates feature selection with classifier construction for human detection via solving three optimization models. Firstly, the ...
A new and fast method for dominant point detection and polygonal representation of a discrete curve is proposed. Starting from results of discrete geometry [1, 2], the notion of m...
In the presence of non-gaussian noise, we propose a method for the detection of underwater shipradiated signal. The wavelet decomposition of the underwater signal yields a natural...
This paper introduces a number of general methods for visualizing commonality in sets of text files. Each visualization simultaneously compares one file in the set to all other ...
We outline different methods to detect errors in automatically-parsed dependency corpora, by comparing so-called dependency rules to their representation in the training data and ...