We present a novel probabilistic latent variable model to perform linear dimensionality reduction on data sets which contain clusters. We prove that the maximum likelihood solution...
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...
The emphasis in microprocessor design has shifted from high performance, to a combination of high performance and low power. Until recently, this trend was mostly true for uniproc...
Transient faults in VLSI circuits could lead to disastrous consequences. With technology scaling, circuits are becoming increasingly vulnerable to transient faults. This papers pr...
This paper presents a novel illumination technique for image processing in environmentswhich are characterized by large intensity fluctuations and hence a high optical dynamic ra...