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» Classifying Problems into Complexity Classes
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MICCAI
2006
Springer
16 years 1 months ago
Shape Filtering for False Positive Reduction at Computed Tomography Colonography
Abstract. In this paper, we treat the problem of reducing the false positives (FP) in the automatic detection of colorectal polyps at Computer Aided Detection in Computed Tomograph...
Abhilash A. Miranda, Tarik A. Chowdhury, Ovidiu Gh...
109
Voted
ICML
2009
IEEE
16 years 1 months ago
Uncertainty sampling and transductive experimental design for active dual supervision
Dual supervision refers to the general setting of learning from both labeled examples as well as labeled features. Labeled features are naturally available in tasks such as text c...
Vikas Sindhwani, Prem Melville, Richard D. Lawrenc...
76
Voted
ICML
2003
IEEE
16 years 1 months ago
Incorporating Diversity in Active Learning with Support Vector Machines
In many real world applications, active selection of training examples can significantly reduce the number of labelled training examples to learn a classification function. Differ...
Klaus Brinker
169
Voted
ICML
2003
IEEE
16 years 1 months ago
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty
AMI
2009
Springer
15 years 7 months ago
Behavior Analysis Based on Coordinates of Body Tags
This paper describes fall detection, activity recognition and the detection of anomalous gait in the Confidence project. The project aims to prolong the independence of the elderly...
Mitja Lustrek, Bostjan Kaluza, Erik Dovgan, Bogdan...