Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
Profiling an application executing on a microprocessor is part of the solution to numerous software and hardware optimization and design automation problems. Most current profilin...
Spinal cord analysis is an important problem relating to the study of various neurological diseases. We present a novel approach to spinal cord segmentation in magnetic resonance i...
Abstract. We exploit the recurrence of structures at different locations, orientations and scales in an image to perform denoising. While previous methods based on "nonlocal f...
Yifei Lou, Paolo Favaro, Stefano Soatto, Andrea L....
We present a novel playground platform that will hopefully help in countering two important issues in children in the developed world: lack of physical activity and lack of social...