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» Learning to cluster using local neighborhood structure
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ICML
2009
IEEE
15 years 10 months ago
Learning Markov logic network structure via hypergraph lifting
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. Learning ML...
Stanley Kok, Pedro Domingos
ILP
2005
Springer
15 years 3 months ago
Spatial Clustering of Structured Objects
Clustering is a fundamental task in Spatial Data Mining where data consists of observations for a site (e.g. areal units) descriptive of one or more (spatial) primary units, possib...
Donato Malerba, Annalisa Appice, Antonio Varlaro, ...
CVPR
2008
IEEE
14 years 11 months ago
Loose shape model for discriminative learning of object categories
We consider the problem of visual categorization with minimal supervision during training. We propose a partbased model that loosely captures structural information. We represent ...
Margarita Osadchy, Elran Morash
CVPR
2010
IEEE
15 years 6 months ago
Image Webs: Computing and Exploiting Connectivity in Image Collections
The widespread availability of digital cameras and ubiquitous Internet access have facilitated the creation of massive image collections. These collections can be highly interconn...
Kyle Heath
JGTOOLS
2006
80views more  JGTOOLS 2006»
14 years 9 months ago
A Fast Method for Local Penetration Depth Computation
In this appendix, we provide some details on the data structures used to cluster the intersection segments. Although the data structures are fairly classical (a heap, a grid and a...
Stephane Redon, Ming C. Lin