Most approaches in reverse engineering literature generate a single view of a software system that restricts the scope of the reconstruction process. We propose an orchestrated se...
This paper presents gesture analysis under the scope of motor control theory. Following the motor program view, some studies have revealed a number of invariant features that chara...
This work addresses the problem of finding the adjustable parameters of a learning algorithm using Genetic Algorithms. This problem is also known as the model selection problem. In...
We propose in this paper a general kernel framework to deal with database object retrieval embedded in images with heterogeneous background. We use local features computed on fuzz...
Philippe Henri Gosselin, Matthieu Cord, Sylvie Phi...
This paper presents a novel method for reducing the dimensionality of kernel spaces. Recently, to maintain the convexity of training, loglinear models without mixtures have been u...