A general classification framework, called boosting chain, is proposed for learning boosting cascade. In this framework, a "chain" structure is introduced to integrate h...
This paper proposes a metric learning based approach for human activity recognition with two main objectives: (1) reject unfamiliar activities and (2) learn with few examples. We s...
This paper considers the problem of tissue classification in 3D MRI. More specifically, a new set of texture features, based on phase information, is used to perform the segmentati...
Pierrick Bourgeat, Jurgen Fripp, Andrew L. Janke, ...
This paper is concerned with the problem of predicting relative performance of classification algorithms. It focusses on methods that use results on small samples and discusses th...
In this paper, we present a tool to increase the efficiency of public transport buses inside the metropolitan city of Madras (Chennai) in South India. The amount of people droppin...