114 search results - page 13 / 23 » Error Rejection in Linearly Combined Multiple Classifiers |
137
Voted
KDD
2007
ACM
16 years 4 months ago
2007
ACM
Data mining tasks such as supervised classification can often benefit from a large training dataset. However, in many application domains, privacy concerns can hinder the construc...
140
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CVPR
2005
IEEE
16 years 6 months ago
2005
IEEE
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...
124
Voted
IIHMSP
2006
IEEE
15 years 10 months ago
2006
IEEE
Following our previous work in [8] where a music signal is decomposed into multiple subband signals and the forward linear prediction errors of all subbands are combined to give t...
112
Voted
CVPR
2003
IEEE
16 years 6 months ago
2003
IEEE
In this paper, we develop a general classification framework called Kullback-Leibler Boosting, or KLBoosting. KLBoosting has following properties. First, classification is based o...
135
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NIPS
2008
15 years 5 months ago
2008
We present a multi-label multiple kernel learning (MKL) formulation in which the data are embedded into a low-dimensional space directed by the instancelabel correlations encoded ...