Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Mar 1, 2016
Video tracking of drug tablet exerts important influences on the efficiency and reliability of its mass production; this topic also becomes a difficult and targeted focus for pharmaceutical production monitory in the past several years due to the hig...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Mar 1, 2016
Visual tracking is challenging due to image variations caused by various factors, such as object deformation, scale change, illumination change, and occlusion. Given the superior tracking performance of human visual system (HVS), an ideal design of b...
IEEE transactions on pattern analysis and machine intelligence
Jan 1, 2016
An important aspect of human perception is anticipation, which we use extensively in our day-to-day activities when interacting with other humans as well as with our surroundings. Anticipating which activities will a human do next (and how) can enabl...
IEEE journal of biomedical and health informatics
Nov 1, 2015
Quantitative gait assessment is important in diagnosis and management of Parkinson's disease (PD); however, gait characteristics of a cohort are dispersed by patient physical properties including age, height, body mass, and gender, as well as walking...
IEEE transactions on pattern analysis and machine intelligence
Jul 1, 2015
Systems based on bag-of-words models from image features collected at maxima of sparse interest point operators have been used successfully for both computer visual object and action recognition tasks. While the sparse, interest-point based approach ...
PURPOSE: Detect and classify focal liver lesions (FLLs) from contrast-enhanced ultrasound (CEUS) imaging by means of an automated quantification algorithm.
OBJECTIVE: To examine the feasibility and outcomes of video-based peer feedback through social networking to facilitate robotic surgical skill acquisition.
IEEE transactions on pattern analysis and machine intelligence
Jan 1, 2015
We propose a novel hybrid loss for multiclass and structured prediction problems that is a convex combination of a log loss for Conditional Random Fields (CRFs) and a multiclass hinge loss for Support Vector Machines (SVMs). We provide a sufficient c...
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