In this paper, we formalize the novel concept of Constrained Reverse k-Nearest Neighbor (CRkNN) search on mobile objects (clients) performed at a central server. The CRkNN query c...
In this paper, we show how the proposed model in ITU-T Recommendation G.1070 “Opinion model for video-telephony applications” cannot model properly the perceptual video qualit...
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...
We present a fast graph cut algorithm for planar graphs.
It is based on the graph theoretical work [2] and leads to an
efficient method that we apply on shape matching and im-
a...
A function of a protein is dependent on its structure; therefore, predicting a protein structure from an amino acid sequence is an active area of research. Optimally predicting a ...