Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
Guo ShengYang, Min Tan, Si-Yao Fu, Zeng-Guang Hou,...
Abstract. Statistical learning techniques have been used to dramatically speed-up keypoint matching by training a classifier to recognize a specific set of keypoints. However, the ...
Abstract. This paper describes a new method for matching line segments between two images in order to compute the relative camera pose. This approach improves the camera pose for i...
Irene Reisner-Kollmann, Andreas Reichinger, Werner...
In this paper, we use autoepistemic reasoning semantics to classify various semantics for disjunctive logic programs with default negation. We have observed that two different typ...
This chapter presents an approach for texture and object recognition that uses scale- or affine-invariant local image features in combination with a discriminative classifier. Text...