This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
As wireless devices become more pervasive, mobile ad hoc networks are gaining importance, motivating the development of highly scalable ad hoc networking techniques. In this paper...
Shu Du, Ahamed Khan, Santashil PalChaudhuri, Ansle...
Artificial neural networks (ANN's) are associated with difficulties like lack of success in a given problem and unpredictable level of accuracy that could be achieved. In eve...
This paper discusses the ideal shapes of control frames (i.e., RTS/CTS frames) in the IEEE 802.11 MAC layer for efficient power control and directional beam forming in mobile ad h...
Although the intrinsic physicality of human beings has not changed in millennia, the species has managed to profoundly reconstitute the physical and social world it inhabits. Alth...