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SDM
2007
SIAM
182views Data Mining» more  SDM 2007»
15 years 6 months ago
Distance Preserving Dimension Reduction for Manifold Learning
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
Hyunsoo Kim, Haesun Park, Hongyuan Zha
KR
2000
Springer
15 years 8 months ago
Partition-Based Logical Reasoning
We investigate the problem of reasoning with partitions of related logical axioms. Our motivation is two-fold. First, we are concerned with how to reason effectively with multiple...
Eyal Amir, Sheila A. McIlraith
ICPR
2008
IEEE
15 years 11 months ago
Manifold denoising with Gaussian Process Latent Variable Models
For a finite set of points lying on a lower dimensional manifold embedded in a high-dimensional data space, algorithms have been developed to study the manifold structure. Howeve...
Yan Gao, Kap Luk Chan, Wei-Yun Yau
ILP
2003
Springer
15 years 10 months ago
Disjunctive Learning with a Soft-Clustering Method
In the case of concept learning from positive and negative examples, it is rarely possible to find a unique discriminating conjunctive rule; in most cases, a disjunctive descripti...
Guillaume Cleuziou, Lionel Martin, Christel Vrain
ICCV
2007
IEEE
16 years 6 months ago
Joint Affinity Propagation for Multiple View Segmentation
A joint segmentation is a simultaneous segmentation of registered 2D images and 3D points reconstructed from the multiple view images. It is fundamental in structuring the data fo...
Jianxiong Xiao, Jingdong Wang, Ping Tan, Long Quan