In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or `unrolling' of a manifold into ...
Handwritten document images contain textlines with multi orientations, touching and overlapping characters within consecutive textlines, and small inter-line spacing making textli...
Syed Saqib Bukhari, Faisal Shafait, Thomas M. Breu...
Abstract— Human can efficiently grasp and dextrously manipulate various objects using their fingers cooperatively. When they attain proficiency in the rotating manipulation of...
Yuichi Kurita, Kazuyuki Nagata, Jun Ueda, Yoshio M...
We consider the problem of distributed classification of multiple observations of the same object that are collected in an ad-hoc network of vision sensors. Assuming that each sen...
In this paper we consider the problem of managing and exploiting schedules in an uncertain and distributed environment. We assume a team of collaborative agents, each responsible ...
Stephen F. Smith, Anthony Gallagher, Terry L. Zimm...