Recent research in object recognition has demonstrated the advantages of representing objects and scenes through localized patterns such as small image templates. In this paper we...
We investigate the problem of anomaly detection for video surveillance applications. In our approach, we use a compression-based similarity measure to determine similarity between...
Microarray data provides quantitative information about the transcription profile of cells. To analyze microarray datasets, methodology of machine learning has increasingly attrac...
One of the most important tasks in medical image analysis is to detect the absence or presence of disease in an image, without having precise delineations of pathology available f...
We present a method for solving the global illumination problem for synthetic diffuse objects. The approach generates realistic shading for applications where a synthetic object i...
We propose a classification method based on a decision tree whose nodes consist of linear Support Vector Machines (SVMs). Each node defines a decision hyperplane that classifies p...
MONNET is a visual surveillance system for tracking pedestrians over extended premises. The MONNET system is composed of intelligent nodes, which exchange information on the indiv...
In this paper, we discuss new experiments on face recognition and authentication based on dimensional surface matching. While most of existing methods use facial intensity images,...
This paper presents an algorithm for multiscale image segmentation. Towards this, it proposes a new region model, that of a homogenous region surrounded by ramp discontinuities (a...