We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
As biometric authentication systems become more prevalent, it is becoming increasingly important to evaluate their performance. The current paper introduces a novel statistical me...
In this paper, we address the issue of extracting contour of the object with a specific shape. A hierarchical graphical model is proposed to represent shape variations. A complex ...
Efficient detection of objects in images is complicated by variations of object appearance due to intra-class object differences, articulation, lighting, occlusions, and aspect va...
We pmpose a heuristic approach for detection ofeyes in close-up images. The experimental images are stereorypiral mug shot faces which can be expected in applications offace recog...
Thilak R. Kumar, S. Kumar Raja, A. G. Ramakrishnan