This paper presents a technique for local surface extraction from scalar and vector fields using deformable surfaces. The goal of surface extraction is often to find features, o...
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
This paper presents a medical image retrieval framework that uses visual concepts in a feature space employing statistical models built using a probabilistic multi-class support v...
Md. Mahmudur Rahman, Sameer Antani, George R. Thom...
We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...
The structures of space and time are identified as essential for the realization of cognitive systems. It is suggested that the omnipresence of space and time may have been respons...