We describe a novel method of evolutionary visual learning that uses generative approach for assessing learner’s ability to recognize image contents. Each learner, implemented as...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
This paper analyzes and compares the effectiveness of various system level design methodologies in assessing performance of embedded computing systems from the earliest stages of ...
Abstract. In this article we present the results of an unsupervised segmentation algorithm based on a multiresolution method. The algorithm uses color and edge information in an it...
Abstract. This paper presents a new approach to optimize gait parameter sets using evolutionary algorithms. It separates the crossover-step of the evolutionary algorithm into an in...
Abstract. Term extraction is an important problem in natural language processing. In this paper, we propose a language independent statistical corpus-based term extraction algorith...