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117
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CVPR
2010
IEEE
15 years 2 months ago
The Automatic Design of Feature Spaces for Local Image Descriptors using an Ensemble of Non-linear Feature Extractors
The design of feature spaces for local image descriptors is an important research subject in computer vision due to its applicability in several problems, such as visual classifi...
Gustavo Carneiro
KBSE
2007
IEEE
15 years 3 months ago
Feature location via information retrieval based filtering of a single scenario execution trace
The paper presents a semi-automated technique for feature location in source code. The technique is based on combining information from two different sources: an execution trace, ...
Dapeng Liu, Andrian Marcus, Denys Poshyvanyk, Vacl...
104
Voted
SDM
2012
SIAM
216views Data Mining» more  SDM 2012»
12 years 12 months ago
Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
:  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
George Forman
CHI
2009
ACM
14 years 10 months ago
A performance model of selection techniques for p300-based brain-computer interfaces
In this paper, we propose a model to predict the performance of selection techniques using Brain-Computer Interfaces based on P300 signals. This model is based on Markov theory an...
Jean-Baptiste Sauvan, Anatole Lécuyer, Fabi...
ICDM
2008
IEEE
107views Data Mining» more  ICDM 2008»
15 years 3 months ago
Graph-Based Iterative Hybrid Feature Selection
When the number of labeled examples is limited, traditional supervised feature selection techniques often fail due to sample selection bias or unrepresentative sample problem. To ...
ErHeng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, J...