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» Optimizing Feature Sets for Structured Data
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CVPR
2011
IEEE
14 years 6 months ago
From Region Similarity to Category Discovery
The goal of object category discovery is to automatically identify groups of image regions which belong to some new, previously unseen category. This task is typically performed i...
Carolina Galleguillos, Brian McFee, Serge Belongie...
VCBM
2010
14 years 4 months ago
A General Approach to Model Biomedical Data from 3D Unorganised Point Clouds with Medial Scaffolds
We present the latest developments in modeling 3D biomedical data via the Medial Scaffold (MS), a 3D acyclic oriented graph representation of the Medial Axis (MA) [LK07, SP08]. Th...
Frederic F. Leymarie, Ming-Ching Chang, Celina Imi...
CIARP
2006
Springer
14 years 12 months ago
Robustness Analysis of the Neural Gas Learning Algorithm
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
Carolina Saavedra, Sebastián Moreno, Rodrig...
BMCBI
2005
105views more  BMCBI 2005»
14 years 10 months ago
SNPHunter: a bioinformatic software for single nucleotide polymorphism data acquisition and management
Background: Single nucleotide polymorphisms (SNPs) provide an important tool in pinpointing susceptibility genes for complex diseases and in unveiling human molecular evolution. S...
Lin Wang, Simin Liu, Tianhua Niu, Xin Xu
PR
2010
144views more  PR 2010»
14 years 8 months ago
Classifying transformation-variant attributed point patterns
This paper presents a classification approach, where a sample is represented by a set of feature vectors called an attributed point pattern. Some attributes of a point are transf...
K. E. Dungan, L. C. Potter