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» Training of Classifiers Using Virtual Samples Only
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ICMLA
2008
13 years 10 months ago
Towards On-line Treatment Verification Using cine EPID for Hypofractionated Lung Radiotherapy
We propose a novel approach for on-line treatment verification using cine EPID (Electronic Portal Imaging Device) images for hypofractionated lung radiotherapy based on a machine ...
Xiaoli Tang, Tong Lin, Steve B. Jiang
CVPR
2003
IEEE
14 years 11 months ago
Classification Based on Symmetric Maximized Minimal Distance in Subspace (SMMS)
We introduce a new classification algorithm based on the concept of Symmetric Maximized Minimal distance in Subspace (SMMS). Given the training data of authentic samples and impos...
Wende Zhang, Tsuhan Chen
IJCNN
2008
IEEE
14 years 3 months ago
Active Meta-Learning with Uncertainty Sampling and Outlier Detection
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
ICML
2004
IEEE
14 years 9 months ago
Semi-supervised learning using randomized mincuts
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
Avrim Blum, John D. Lafferty, Mugizi Robert Rweban...
ISWC
2000
IEEE
14 years 1 months ago
Finding Location Using Omnidirectional Video on a Wearable Computing Platform
In this paper we present a framework for a navigation system in an indoor environment using only omnidirectional video. Within a Bayesian framework we seek the appropriate place a...
Wasinee Rungsarityotin, Thad Starner