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» Classification of unlabeled point sets using ANSIG
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APIN
2000
87views more  APIN 2000»
14 years 11 months ago
The Architecture and Performance of a Stochastic Competitive Evolutionary Neural Tree Network
: A new dynamic tree structured network - the Stochastic Competitive Evolutionary Neural Tree (SCENT) is introduced. The network is able to provide a hierarchical classification of...
Neil Davey, Rod Adams, Stella J. George
CAGD
2004
113views more  CAGD 2004»
14 years 11 months ago
Developable surface fitting to point clouds
Given a set of data points as measurements from a developable surface, the present paper investigates the recognition and reconstruction of these objects. We investigate the set o...
Martin Peternell
KDD
2004
ACM
103views Data Mining» more  KDD 2004»
16 years 4 days ago
An objective evaluation criterion for clustering
We propose and test an objective criterion for evaluation of clustering performance: How well does a clustering algorithm run on unlabeled data aid a classification algorithm? The...
Arindam Banerjee, John Langford
CVPR
2004
IEEE
16 years 1 months ago
Point Matching as a Classification Problem for Fast and Robust Object Pose Estimation
We propose a novel approach to point matching under large viewpoint and illumination changes that is suitable for accurate object pose estimation at a much lower computational cos...
Vincent Lepetit, Julien Pilet, Pascal Fua
AAAI
2006
15 years 1 months ago
Unsupervised Order-Preserving Regression Kernel for Sequence Analysis
In this work, a generalized method for learning from sequence of unlabelled data points based on unsupervised order-preserving regression is proposed. Sequence learning is a funda...
Young-In Shin