We present an approach to vision-based person detection in robotic applications that integrates top down template matching with bottom up classifiers. We detect components of the ...
Abstract. We address the problem of incorporating transformation invariance in kernels for pattern analysis with kernel methods. We introduce a new class of kernels by so called Ha...
In this paper we present the results of a comparative study of linear and kernel-based methods for face recognition. The methods used for dimensionality reduction are Principal Co...
Himaanshu Gupta, Amit K. Agrawal, Tarun Pruthi, Ch...
Feature selection is an important issue for object detection. In this paper, we propose an effective wrapper-based feature selection scheme using Binary Particle Swarm Optimizatio...
Nowadays personal identification is a very important issue. There is a wide range of applications in different spheres, such as video surveillance security systems, control of docu...