Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
The Dynamic Spatial Approximation Tree (dsa–tree) is a recently proposed data structure for searching in metric spaces. It has been shown that it compares favorably against alte...
Scarcity and infeasibility of human supervision for large
scale multi-class classification problems necessitates active
learning. Unfortunately, existing active learning methods
...
Prateek Jain (University of Texas at Austin), Ashi...
We propose a recursive Bayesian model for the delineation of coronary arteries from 3D CT angiograms (cardiac CTA) and discuss the use of discrete minimal path techniques as an eï¬...
David Lesage, Elsa D. Angelini, Isabelle Bloch, Ga...
URL, or layer-5, switches can be used to implement locally and globally distributed web sites. URL switches must be able to exploit knowledge of server load and content (e.g., of ...