In statistical language modeling, one technique to reduce the problematic effects of data sparsity is to partition the vocabulary into equivalence classes. In this paper we invest...
Abstract Cloud computing could offer good business models for small CSE (Computational Science and Engineering) research groups because these groups often do not have enough human ...
We describe a new method for Automatic Gait Recognition based around the use of Fourier descriptors that model the periodic deformation of human gait. Fourier descriptors have been...
Abstract: We investigate the structure of model selection problems via the bias/variance decomposition. In particular, we characterize the essential structure of a model selection ...
This paper presents accurate area and power estimation models for implementations using FPGAs from the Xilinx Virtex-2Pro family. These models are designed to facilitate efficien...