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This paper extracts statistical features using a novel approach. The feature set locally measure the characteristics of the image. The proposed approach encodes the extracted features, from a one-pixel width window that slides horizontally the word image. We then inject the feature vector set into a recognition engine. The recognition engine is built using Hidden Markov Models Tool Kit (HTK). The...
This paper describes an explanation-based tools for constraint programming system. These tools provide to the user the conflicts when it raise during solving process. Our tools simulate constraint additions and/or constraint relaxations without any propagation; it also determine if a given constraint belongs to a conflict and it provide diagnosis tool (e.g. why variable v cannot take value val?)....
In this article, we introduce a new solving framework based on using alternatively two local-search algorithms to solve constraint satisfaction and optimization problems. The technique presented is based on the integration of local-search algorithm as a mechanism to diversify the search instead of using a build on diversification mechanisms. Thus, we avoid tuning the multiple parameters to escape...
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