In this paper, a Bayesian method for face recognition is proposed based on Markov Random Fields (MRF) modeling. Constraints on image features as well as contextual relationships be...
— The inductance and coupling effects in interconnects and non-linear receiver loads has resulted in complex input signals and output loads for gates in the modern deep submicron...
We propose using simple mixture models to define a set of mid-level binary local features based on binary oriented edge input. The features capture natural local structures in the...
In recent years, we have witnessed a growing interest in high performance computing (HPC) using a cluster of workstations. However, many challenges remain to be resolved before th...
The goal of this communication is to present a weighted likelihood discriminant for minimum error shape classification. Different from traditional Maximum Likelihood (ML) methods...