In this paper we introduce a novel approach for inferring articulated spine models from images. A low-dimensional manifold embedding is created from a training set of prior mesh mo...
This paper explores and quantifies garbage collection behavior for three whole heap collectors and generational counterparts: copying semi-space, mark-sweep, and reference counti...
Stephen M. Blackburn, Perry Cheng, Kathryn S. McKi...
Text classification has matured as a research discipline over the last decade. Independently, business intelligence over structured databases has long been a source of insights fo...
Recent work in Ontology learning and Text mining has mainly focused on engineering methods to solve practical problem. In this thesis, we investigate methods that can substantially...
Abstract: Wireless sensor networks can revolutionize soil ecology by providing measurements at temporal and spatial granularities previously impossible. This paper presents our fi...
Andreas Terzis, Razvan Musaloiu-Elefteri, Joshua C...