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PLDI
2009
ACM
15 years 11 months ago
LiteRace: effective sampling for lightweight data-race detection
Data races are one of the most common and subtle causes of pernicious concurrency bugs. Static techniques for preventing data races are overly conservative and do not scale well t...
Daniel Marino, Madanlal Musuvathi, Satish Narayana...
ICRA
2007
IEEE
199views Robotics» more  ICRA 2007»
15 years 11 months ago
Automatic Outlier Detection: A Bayesian Approach
— In order to achieve reliable autonomous control in advanced robotic systems like entertainment robots, assistive robots, humanoid robots and autonomous vehicles, sensory data n...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
ASPLOS
2012
ACM
14 years 12 days ago
Data races vs. data race bugs: telling the difference with portend
Even though most data races are harmless, the harmful ones are at the heart of some of the worst concurrency bugs. Alas, spotting just the harmful data races in programs is like ï...
Baris Kasikci, Cristian Zamfir, George Candea
ICPR
2004
IEEE
16 years 5 months ago
Analysis of Rotational Robustness of Hand Detection with a Viola-Jones Detector
The research described in this paper analyzes the in-plane rotational robustness of the Viola-Jones object detection method when used for hand appearance detection. We determine t...
Mathias Kölsch, Matthew Turk
CNSR
2004
IEEE
174views Communications» more  CNSR 2004»
15 years 8 months ago
Network Intrusion Detection Using an Improved Competitive Learning Neural Network
This paper presents a novel approach for detecting network intrusions based on a competitive learning neural network. In the paper, the performance of this approach is compared to...
John Zhong Lei, Ali A. Ghorbani