Random Forests (RFs) have become commonplace
in many computer vision applications. Their
popularity is mainly driven by their high computational
efficiency during both training ...
Christian Leistner, Amir Saffari, Jakob Santner, H...
Traditionally, research in identifying structured entities in documents has proceeded independently of document categorization research. In this paper, we observe that these two t...
This paper proposes RTT-thumbprint to traceback intruders, and to detect stepping-stone intrusion; RTT-thumbprint is a sequence of timestamp pairs of a send packet and its correspo...
Background: Selection of relevant genes for sample classification is a common task in most gene expression studies, where researchers try to identify the smallest possible set of ...
The Location of nodes in sensor network is an important problem with application in resource allocation, location sensitive browsing, and emergency communications. A key problem i...