Object detection in clutter or occlusion is a hard problem in computer vision. We propose an object detection method based on contour grouping. Two stages are included: a novel di...
Ensemble learning is a variational Bayesian method in which an intractable distribution is approximated by a lower-bound. Ensemble learning results in models with better generaliz...
Abstract— We have recently proposed DSLX, a motion planner that significantly reduces the computational time for solving challenging kinodynamic problems by interleaving continu...
1 We propose a new framework for the summarization of XML document properties called EXsum (Element-wise XML summarization), which can capture statistical information of all import...
Service-orientation enables cooperation between multiple organizations and has become a solution of choice to tackle the complexity of ubiquitous computing. The very nature of ubi...