This work studies the problem of distributed classification in peer-to-peer (P2P) networks. While there has been a significant amount of work in distributed classification, most o...
Abstract. In spite of over two decades of intense research, illumination and pose invariance remain prohibitively challenging aspects of face recognition for most practical applica...
Abstract. We develop new mathematical results based on the spherical harmonic convolution framework for reflection from a curved surface. We derive novel identities, which are the ...
Traditionally, rectilinear Steiner minimum trees (RSMT) are widely used for routing estimation in design optimizations like floorplanning and physical synthesis. Since it optimize...
Charles J. Alpert, Andrew B. Kahng, Cliff C. N. Sz...
Network coding is an emerging field of research with sound and mature theory supporting it. Recent works shows that it has many benefits like improved fault tolerance, higher ...