Sciweavers

1490 search results - page 44 / 298
» Combining Methods for Dynamic Multiple Classifier Systems
Sort
View
107
Voted
ICCV
2009
IEEE
14 years 10 months ago
Group-sensitive multiple kernel learning for object categorization
In this paper, we propose a group-sensitive multiple kernel learning (GS-MKL) method to accommodate the intra-class diversity and the inter-class correlation for object categoriza...
Jingjing Yang, Yuanning Li, YongHong Tian, Lingyu ...
CORR
2000
Springer
84views Education» more  CORR 2000»
15 years 10 days ago
Robust Classification for Imprecise Environments
In real-world environments it usually is difficult to specify target operating conditions precisely, for example, target misclassification costs. This uncertainty makes building ro...
Foster J. Provost, Tom Fawcett
CVPR
2005
IEEE
16 years 2 months ago
Object Class Recognition Using Multiple Layer Boosting with Heterogeneous Features
We combine local texture features (PCA-SIFT), global features (shape context), and spatial features within a single multi-layer AdaBoost model of object class recognition. The fir...
Wei Zhang 0002, Bing Yu, Gregory J. Zelinsky, Dimi...
96
Voted
ICIP
2008
IEEE
16 years 2 months ago
Motion blur free HDR image acquisition using multiple exposures
The high dynamic range image (HDRI) acquisition method based on Markov random field model is proposed. By combining multiple exposure images shot with different shutter speed, we ...
Takao Jinno, Masahiro Okuda
SAC
2005
ACM
15 years 6 months ago
A pivot-based index structure for combination of feature vectors
We present a novel indexing schema that provides efficient nearest-neighbor queries in multimedia databases consisting of objects described by multiple feature vectors. The beneļ¬...
Benjamin Bustos, Daniel A. Keim, Tobias Schreck