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» Evaluating algorithms that learn from data streams
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MCS
2002
Springer
15 years 6 months ago
Boosting and Classification of Electronic Nose Data
Abstract. Boosting methods are known to improve generalization performances of learning algorithms reducing both bias and variance or enlarging the margin of the resulting multi-cl...
Francesco Masulli, Matteo Pardo, Giorgio Sbervegli...
171
Voted
ICML
2008
IEEE
16 years 7 months ago
Manifold alignment using Procrustes analysis
In this paper we introduce a novel approach to manifold alignment, based on Procrustes analysis. Our approach differs from "semisupervised alignment" in that it results ...
Chang Wang, Sridhar Mahadevan
UIST
2003
ACM
16 years 3 days ago
A fast, interactive 3D paper-flier metaphor for digital bulletin boards
We describe a novel interface for presenting interactive content on public digital bulletin boards. Inspired by paper fliers on physical bulletin boards, posted content is display...
Laurent Denoue, Les Nelson, Elizabeth F. Churchill
217
Voted
VMV
2003
164views Visualization» more  VMV 2003»
15 years 8 months ago
A Parallel Framework for Silhouette-Based Human Motion Capture
This paper presents a method to capture human motion from silhouettes of a person in multi-view video streams. Applying a hierarchical kinematic body model motion parameters are e...
Christian Theobalt, Joel Carranza, Marcus A. Magno...
ESANN
2008
15 years 8 months ago
GeoKernels: modeling of spatial data on geomanifolds
This paper presents a review of methodology for semi-supervised modeling with kernel methods, when the manifold assumption is guaranteed to be satisfied. It concerns environmental ...
Alexei Pozdnoukhov, Mikhail F. Kanevski