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» Learning to Identify Unexpected Instances in the Test Set
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ISSRE
2007
IEEE
13 years 9 months ago
Data Mining Techniques for Building Fault-proneness Models in Telecom Java Software
This paper describes a study performed in an industrial setting that attempts to build predictive models to identify parts of a Java system with a high probability of fault. The s...
Erik Arisholm, Lionel C. Briand, Magnus Fuglerud
ASE
2005
140views more  ASE 2005»
13 years 7 months ago
Automated Procedure Construction for Deductive Synthesis
Deductive program synthesis systems based on automated theorem proving offer the promise of software that is correct by construction. However, the difficulty encountered in constru...
Steve Roach, Jeffrey Van Baalen
CVPR
2011
IEEE
13 years 3 months ago
2D Nonrigid Partial Shape Matching Using MCMC and Contour Subdivision
Shape matching has many applications in computer vision, such as shape classification, object recognition, object detection, and localization. In 2D cases, shape instances are 2D c...
Y. Cao, Z. Zhang, I. Czogiel, I. Dryden, S. Wang
CVPR
2008
IEEE
14 years 9 months ago
Action recognition using exemplar-based embedding
In this paper, we address the problem of representing human actions using visual cues for the purpose of learning and recognition. Traditional approaches model actions as space-ti...
Daniel Weinland, Edmond Boyer
ISPW
2007
IEEE
14 years 1 months ago
Comparative Experiences with Electronic Process Guide Generator Tools
The primary objective of all software engineering courses is to help students learn how to develop successful software systems with good software engineering practices. Various too...
Monvorath Phongpaibul, Supannika Koolmanojwong, Al...