Abstract. We present a comparative study on how to use discriminative learning methods such as classification, regression, and ranking to address deformable shape segmentation. Tra...
Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu...
We propose a framework for modeling sequence motifs based on the maximum entropy principle (MEP). We recommend approximating short sequence motif distributions with the maximum en...
In this paper, we address the issue of learning nonlinearly separable concepts with a kernel classifier in the situation where the data at hand are altered by a uniform classific...
The paper proposes two automatic voltage controllers for the South Korean power system. Simulation results from detailed Korean power-flow models show that the controllers can pro...
With the pipeline deepen and issue width widen, the accuracy of branch predictor becomes more and more important to the performance of a microprocessor. State-of-theart researches...