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FASE
2006
Springer
14 years 10 days ago
Argus: Online Statistical Bug Detection
Statistical debugging is a powerful technique for identifying bugs that do not violate programming rules or program invariants. Previously known statistical debugging techniques ar...
Long Fei, Kyungwoo Lee, Fei Li, Samuel P. Midkiff
MICRO
2006
IEEE
124views Hardware» more  MICRO 2006»
14 years 2 months ago
LIFT: A Low-Overhead Practical Information Flow Tracking System for Detecting Security Attacks
Computer security is severely threatened by software vulnerabilities. Prior work shows that information flow tracking (also referred to as taint analysis) is a promising techniqu...
Feng Qin, Cheng Wang, Zhenmin Li, Ho-Seop Kim, Yua...
ICDM
2007
IEEE
140views Data Mining» more  ICDM 2007»
14 years 16 days ago
Sequential Change Detection on Data Streams
Model-based declarative queries are becoming an attractive paradigm for interacting with many data stream applications. This has led to the development of techniques to accurately...
S. Muthukrishnan, Eric van den Berg, Yihua Wu
ECCV
2010
Springer
13 years 12 months ago
Recursive Coarse-to-Fine Localization for fast Object Detection
Cascading techniques are commonly used to speed-up the scan of an image for object detection. However, cascades of detectors are slow to train due to the high number of detectors a...
Marco Pedersoli, Jordi Gonzàlez, Andrew D. Bagdan...
KDD
2009
ACM
224views Data Mining» more  KDD 2009»
14 years 1 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...