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CORR
2007
Springer
99views Education» more  CORR 2007»
14 years 11 months ago
Fast Selection of Spectral Variables with B-Spline Compression
The large number of spectral variables in most data sets encountered in spectral chemometrics often renders the prediction of a dependent variable uneasy. The number of variables ...
Fabrice Rossi, Damien François, Vincent Wer...
IJAMC
2010
134views more  IJAMC 2010»
14 years 10 months ago
HyperVerse: simulation and testbed reconciled
—When dealing with dynamic large-scale topologies such as those underlying peer-to-peer (P2P) distributed virtual environments (DVE), one inescapably reaches the point where eith...
Jean Botev, Markus Esch, Hermann Schloss, Ingo Sch...
PROMISE
2010
14 years 6 months ago
On the value of learning from defect dense components for software defect prediction
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
Hongyu Zhang, Adam Nelson, Tim Menzies
ICCV
2005
IEEE
16 years 1 months ago
A Supervised Learning Framework for Generic Object Detection in Images
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
Saad Ali, Mubarak Shah
ICASSP
2007
IEEE
15 years 6 months ago
Integrating Relevance Feedback in Boosting for Content-Based Image Retrieval
Many content-based image retrieval applications suffer from small sample set and high dimensionality problems. Relevance feedback is often used to alleviate those problems. In thi...
Jie Yu, Yijuan Lu, Yuning Xu, Nicu Sebe, Qi Tian