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» Detecting Errors in Spreadsheets
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151
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TIP
2008
169views more  TIP 2008»
15 years 3 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht
137
Voted
POPL
2012
ACM
13 years 11 months ago
Sound predictive race detection in polynomial time
Data races are among the most reliable indicators of programming errors in concurrent software. For at least two decades, Lamport’s happens-before (HB) relation has served as th...
Yannis Smaragdakis, Jacob Evans, Caitlin Sadowski,...
161
Voted
ISSTA
2012
ACM
13 years 6 months ago
Residual investigation: predictive and precise bug detection
We introduce the concept of “residual investigation” for program analysis. A residual investigation is a dynamic check installed as a result of running a static analysis that ...
Kaituo Li, Christoph Reichenbach, Christoph Csalln...
129
Voted
ISQED
2010
IEEE
156views Hardware» more  ISQED 2010»
15 years 5 months ago
On the design of different concurrent EDC schemes for S-Box and GF(p)
Recent studies have shown that an attacker can retrieve confidential information from cryptographic hardware (e.g. the secret key) by introducing internal faults. A secure and re...
Jimson Mathew, Hafizur Rahaman, Abusaleh M. Jabir,...
125
Voted
SGP
2003
15 years 5 months ago
CLODs: Dual Hierarchies for Multiresolution Collision Detection
We present “contact levels of detail” (CLOD), a novel concept for multiresolution collision detection. Given a polyhedral model, our algorithm automatically builds a “dual h...
Miguel A. Otaduy, Ming C. Lin