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...
In many dynamic matching applications—especially high-stakes ones—the competitive ratios of prior-free online algorithms are unacceptably poor. The algorithm should take distr...
John P. Dickerson, Ariel D. Procaccia, Tuomas Sand...
Many problems in computer graphics and computer vision require accurate global visibility information. Previous approaches have typically been complicated to implement and numeric...
Bug-checking tools have been used with some success in recent years to find bugs in software. For finding bugs that can cause security vulnerabilities, bug checking tools requir...
There has been an explosion of hyperlinked data in many domains, e.g., the biological Web. Expressive query languages and effective ranking techniques are required to convert this...