Background: Recent technological advances in mass spectrometry pose challenges in computational mathematics and statistics to process the mass spectral data into predictive models...
Michael Wagner, Dayanand N. Naik, Alex Pothen, Sri...
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...
The performance of many modern computer and communication systems is dictated by latency of communication pipelines. At the same time, power consumption is often another limiting ...
- The problem of stochastic sequential machines (SSM) synthesis is addressed and its relationship with the constrained sequence generation problem which arises during power estimat...
We systematically evaluate a recently proposed method for unsupervised discrimination power analysis for feature selection and optimization in multimedia applications. A series of...