In this paper, we introduce a novel framework for clustering web data which is often heterogeneous in nature. As most existing methods often integrate heterogeneous data into a un...
Abstract. Current hardware trends place increasing pressure on programmers and tools to optimize scientific code. Numerous tools and techniques exist, but no single tool is a pana...
We propose a semi-supervised image segmentation method that relies on a non-local continuous version of the min-cut algorithm and labels or seeds provided by a user. The segmentati...
Nawal Houhou, Xavier Bresson, Arthur Szlam, Tony F...
Abstract. This paper presents an approach to object discovery in a given unlabeled image set, based on mining repetitive spatial configurations of image contours. Contours that si...
We consider marketplaces where buyers and sellers iteratively encounter to trade. Given some specific trade conditions, the question that we address is what strategies should buy...