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ICPR
2008
IEEE
15 years 10 months ago
Learning invariant region descriptor operators with genetic programming and the F-measure
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
Cynthia B. Pérez, Gustavo Olague
KBSE
2005
IEEE
15 years 3 months ago
Empirical evaluation of the tarantula automatic fault-localization technique
The high cost of locating faults in programs has motivated the development of techniques that assist in fault localization by automating part of the process of searching for fault...
James A. Jones, Mary Jean Harrold
PLDI
2005
ACM
15 years 3 months ago
Scalable statistical bug isolation
We present a statistical debugging algorithm that isolates bugs in programs containing multiple undiagnosed bugs. Earlier statistical algorithms that focus solely on identifying p...
Ben Liblit, Mayur Naik, Alice X. Zheng, Alexander ...
BCS
2008
14 years 11 months ago
Improved SIFT-Features Matching for Object Recognition
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...
Faraj Alhwarin, Chao Wang, Danijela Ristic-Durrant...
ISSTA
2012
ACM
12 years 12 months ago
Swarm testing
Swarm testing is a novel and inexpensive way to improve the diversity of test cases generated during random testing. Increased diversity leads to improved coverage and fault detec...
Alex Groce, Chaoqiang Zhang, Eric Eide, Yang Chen,...