Objects vary in their visual complexity, yet existing discovery methods perform “batch” clustering, paying equal attention to all instances simultaneously—regardless of the ...
Gene network reconstruction is a multidisciplinary research area involving data mining, machine learning, statistics, ontologies and others. Reconstructed gene network allows us t...
In this work, we explore the use of a learning-based framework for retrieval of relevant mammogram images from a database, for purposes of aiding diagnoses. A fundamental issue is...
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Niko...
Can we discover common object shapes within unlabeled
multi-category collections of images? While often a critical
cue at the category-level, contour matches can be difficult
to...
Yong Jae Lee (University of Texas at Austin), Kris...
—Multi-cell Cooperative Processing (MCP) has been recognised as an efficient technique for increasing spectral efficiency of future cellular systems. However the provided bene...