In this paper, we propose a novel stochastic framework for unsupervised manifold learning. The latent variables are introduced, and the latent processes are assumed to characteriz...
Gang Wang, Weifeng Su, Xiangye Xiao, Frederick H. ...
In this paper we present a genetic approach for the efficient generation of an encoder to minimize switching activity on the high-capacity lines of a communication bus. The appro...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi,...
A number of 3D shape reconstruction algorithms, in particular 3D image segmentation methods, produce their results in the form of binary volumes, where a binary value indicates whe...
Many embedded applications exist where decisions are made using sensitive information. A critical issue in such applications is to ensure that data is accessed only by authorized ...
Sri Hari Krishna Narayanan, Mahmut T. Kandemir, Ri...
Previously known techniques to construct pairing-friendly curves of prime or near-prime order are restricted to embedding degree k 6. More general methods produce curves over Fp wh...