Support vector machines (SVMs) are an extremely successful type of classification and regression algorithms. Building an SVM entails solving a constrained convex quadratic program...
We put forth a new computational notion of entropy, which measures the (in)feasibility of sampling high entropy strings that are consistent with a given protocol. Specifically, we...
Iftach Haitner, Omer Reingold, Salil P. Vadhan, Ho...
The novel design of an efficient FPGA interconnection architecture with multiple Switch Boxes (SB) and hardwired connections for realizing data intensive applications (i.e. DSP ap...
We describe the use of compact support radial basis functions (CSRBFs) for simulation of soft tissue deformation. CSRBFs allow surface and volumetric deformations to be computed i...
Mark P. Wachowiak, Xiaogang Wang, Aaron Fenster, T...
— This paper presents a dynamic and distributed reconfiguration planning algorithm for chain-type selfreconfigurable robots, by which a robot can autonomously self-reconfigure fr...