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» Classifier Selection Based on Data Complexity Measures
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FGR
2008
IEEE
117views Biometrics» more  FGR 2008»
15 years 4 months ago
Complex human motion estimation using visibility
This paper presents a novel algorithm for estimating complex human motion from 3D video. We base our algorithm on a model-based approach which uses a complete surface mesh of a 3D...
Tomoyuki Mukasa, Arata Miyamoto, Shohei Nobuhara, ...
86
Voted
ICDM
2010
IEEE
128views Data Mining» more  ICDM 2010»
14 years 7 months ago
User-Based Active Learning
Active learning has been proven a reliable strategy to reduce manual efforts in training data labeling. Such strategies incorporate the user as oracle: the classifier selects the m...
Christin Seifert, Michael Granitzer
DAGM
2007
Springer
15 years 4 months ago
Classifying Glaucoma with Image-Based Features from Fundus Photographs
Glaucoma is one of the most common causes of blindness and it is becoming even more important considering the ageing society. Because healing of died retinal nerve fibers is not p...
Rüdiger Bock, Jörg Meier, Georg Michelso...
PROMISE
2010
14 years 4 months ago
The role of the measure of functional complexity in effort estimation
Background. Currently there are several definitions of measures that should represent the size of software functional requirements. These measures have gained a quite relevant rol...
Luigi Lavazza, Gabriela Robiolo
NIPS
2004
14 years 11 months ago
On Semi-Supervised Classification
A graph-based prior is proposed for parametric semi-supervised classification. The prior utilizes both labelled and unlabelled data; it also integrates features from multiple view...
Balaji Krishnapuram, David Williams, Ya Xue, Alexa...