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ECSA
2011
Springer
12 years 8 months ago
Architecture-Based Run-Time Fault Diagnosis
Abstract. An important step in achieving robustness to run-time faults is the ability to detect and repair problems when they arise in a running system. Effective fault detection a...
Paulo Casanova, Bradley R. Schmerl, David Garlan, ...
GLOBECOM
2009
IEEE
14 years 14 days ago
Detecting Identity Spoofs in IEEE 802.11e Wireless Networks
Abstract--Wireless networks are vulnerable to identity spoofing attacks, where an attacker can forge the MAC address of his wireless device to assume the identity of another victim...
Gayathri Chandrasekaran, John-Austen Francisco, Vi...
ECCV
2010
Springer
13 years 8 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
MM
2005
ACM
215views Multimedia» more  MM 2005»
14 years 2 months ago
OpenVIDIA: parallel GPU computer vision
Graphics and vision are approximate inverses of each other: ordinarily Graphics Processing Units (GPUs) are used to convert “numbers into pictures” (i.e. computer graphics). I...
James Fung, Steve Mann
CN
2004
256views more  CN 2004»
13 years 8 months ago
A line in the sand: a wireless sensor network for target detection, classification, and tracking
Intrusion detection is a surveillance problem of practical import that is well suited to wireless sensor networks. In this paper, we study the application of sensor networks to the...
Anish Arora, Prabal Dutta, Sandip Bapat, Vinod Kul...