Most motion-based tracking algorithms assume that objects undergo rigid motion, which is most likely disobeyed in real world. In this paper, we present a novel motionbased trackin...
We present a novel framework for multiple object tracking in which the problems of object detection and data association are expressed by a single objective function. The framewor...
Zheng Wu, Ashwin Thangali, Stan Sclaroff, Margrit ...
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
We present a registration framework based on feature points of anatomical 3D shapes represented in the point cloud domain. Anatomical information is utilized throughout the comple...
Alexander Zouhar, Tong Fang, Gozde B. Unal, Gregor...
FCA has been successfully applied to software engineering tasks such as source code analysis and class hierarchy re-organization. Most notably, FCA hematics behind the mechanism of...
Michel Dao, Marianne Huchard, Mohamed Rouane Hacen...