Co-training is a method for combining labeled and unlabeled data when examples can be thought of as containing two distinct sets of features. It has had a number of practical succ...
We derive a probabilistic similarity measure between two observed image intensities that is based on the noise properties of the camera. In many vision algorithms, the effect of c...
We present a novel unsupervised inter-camera trajectory correspondence algorithm that does not require prior knowledge of the camera placement. The approach consists of three step...
In this paper, we present a novel approach for 3D facial expression recognition which is inspired by the advances of ant colony and particle swarm optimization (ACO and PSO respec...
In this paper we look at combining and compressing a set of workflows, such that computation can be minimized. In this context, we look at two novel theoretical problems with appl...
Dhrubajyoti Saha, Abhishek Samanta, Smruti R. Sara...