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IWANN
2011
Springer
14 years 6 months ago
A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorith
In recent years, the increasing interest in fuzzy rough set theory has allowed the definition of novel accurate methods for feature selection. Although their stand-alone applicati...
Joaquín Derrac, Chris Cornelis, Salvador Ga...
108
Voted
ISESE
2006
IEEE
15 years 9 months ago
Identifying domain-specific defect classes using inspections and change history
We present an iterative, reading-based methodology for analyzing defects in source code when change history is available. Our bottom-up approach can be applied to build knowledge ...
Taiga Nakamura, Lorin Hochstein, Victor R. Basili
162
Voted
KDD
2007
ACM
179views Data Mining» more  KDD 2007»
15 years 9 months ago
Mining statistically important equivalence classes and delta-discriminative emerging patterns
The support-confidence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that effectively simplifies the search lattice. This com...
Jinyan Li, Guimei Liu, Limsoon Wong
ICCV
2007
IEEE
16 years 5 months ago
3D Model based Object Class Detection in An Arbitrary View
In this paper, a novel object class detection method based on 3D object modeling is presented. Instead of using a complicated mechanism for relating multiple 2D training views, th...
Pingkun Yan, Saad M. Khan, Mubarak Shah
113
Voted
CVPR
2010
IEEE
15 years 11 months ago
Layered Object Detection for Multi-Class Segmentation
We formulate a layered model for object detection and multi-class segmentation. Our system uses the output of a bank of object detectors in order to define shape priors for suppo...
Yi Yang, Sam Hallman, Deva Ramanan, Charless Fowlk...