Multi-label learning is useful in visual object recognition when several objects are present in an image. Conventional approaches implement multi-label learning as a set of binary...
This paper presents an approach to unsupervised segmentation of moving and static objects occurring in a video. Objects are, in general, spatially cohesive and characterized by lo...
Direct-touch interaction on mobile phones revolves around screens that compete for visual attention with users‟ realworld tasks and activities. This paper investigates the impac...
Andrew Bragdon, Eugene Nelson, Yang Li, Ken Hinckl...
Characterizing the performance of image segmentation approaches has been a persistent challenge. Performance analysis is important since segmentation algorithms often have limited ...
Simon K. Warfield, Kelly H. Zou, William M. Wells ...
NoCs present a possible communication infrastructure solution to deal with increased design complexity and shrinking time-to-market. The communication infrastructure is a signific...