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...
Consider a workload in which massively parallel tasks that require large resource pools are interleaved with short tasks that require fast response but consume fewer resources. We...
Mark Silberstein, Dan Geiger, Assaf Schuster, Miro...
This paper presents a new algorithm for the automatic recognition of object classes from images (categorization). Compact and yet discriminative appearance-based object class mode...
New network applications like intrusion detection systems and packet-level accounting require multi-match packet classification, where all matching filters need to be reported. Te...
Fang Yu, T. V. Lakshman, Martin Austin Motoyama, R...
The availability of indoor positioning renders it possible to deploy location-based services in indoor spaces. Many such services will benefit from the efficient support for k n...