Maximum a posteriori (MAP) inference in Markov Random Fields (MRFs) is an NP-hard problem, and thus research has focussed on either finding efficiently solvable subclasses (e.g. t...
Dhruv Batra, Andrew Gallagher, Devi Parikh, Tsuhan...
We propose the definition of T-KKM points and consider generic stability of T-KKM mappings and essential components of sets of T-KKM points. As applications, using a unified appr...
Abstract—We consider the problem of aggregation convergecast scheduling in wireless sensor networks. Aggregation convergecast differs from regular convergecast in that it accommo...
Baljeet Malhotra, Ioanis Nikolaidis, Mario A. Nasc...
Abstract. Multi-object segmentation with mutual interaction is a challenging task in medical image analysis. We report a novel solution to a segmentation problem, in which target o...
Qi Song, Mingqing Chen, Junjie Bai, Milan Sonka, X...
This paper deals with the job-shop scheduling problem with sequencedependent setup times. We propose a new method to solve the makespan minimization problem to optimality. The met...