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» On the monotonization of the training set
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103
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KI
2005
Springer
15 years 6 months ago
Selecting What Is Important: Training Visual Attention
We present a new, sophisticated algorithm to select suitable training images for our biologically motivated attention system VOCUS. The system detects regions of interest depending...
Simone Frintrop, Gerriet Backer, Erich Rome
BILDMED
2006
15 years 2 months ago
Combining Training and Computer-Assisted Planning of Oncologic Liver Surgery
We present a framework for liver surgery training with the focus on therapy decision making, tumor resection and ablation planning based on patient individual data. In this framewo...
Ragnar Bade, Ivonne Riedel, Lars Schmidt, Karl J. ...
102
Voted
FLAIRS
2004
15 years 2 months ago
Invariance of MLP Training to Input Feature De-correlation
In the neural network literature, input feature de-correlation is often referred as one pre-processing technique used to improve the MLP training speed. However, in this paper, we...
Changhua Yu, Michael T. Manry, Jiang Li
PRL
2006
114views more  PRL 2006»
15 years 16 days ago
Incremental training of support vector machines using hyperspheres
In the conventional incremental training of support vector machines, candidates for support vectors tend to be deleted if the separating hyperplane rotates as the training data ar...
Shinya Katagiri, Shigeo Abe
114
Voted
ICCV
2003
IEEE
16 years 2 months ago
Unsupervised Improvement of Visual Detectors using Co-Training
One significant challenge in the construction of visual detection systems is the acquisition of sufficient labeled data. This paper describes a new technique for training visual d...
Anat Levin, Paul A. Viola, Yoav Freund