A computationally efficient approach to local learning with kernel methods is presented. The Fast Local Kernel Support Vector Machine (FaLK-SVM) trains a set of local SVMs on redu...
In order to deploy mobile robots in social environments like indoor buildings, they need to be provided with perceptual abilities to detect people. In the computer vision literatur...
Recently, along with the breakthrough of the Internet and mobile environment, the development towards screen maps used as intelligent user interfaces appears to be emergent. This m...
In this paper, we propose a new prototype learning/matching method that can be combined with support vector machines (SVM) in pattern recognition. This hybrid method has the follo...
Recent research for testable designs has focussed on inserting test structures by re-arranging an Register-TransferLevel (RTL) data path generated from a behavioural description t...