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» Rearranging data objects for efficient and stable clustering
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CVPR
2007
IEEE
14 years 9 months ago
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
Fabien Scalzo, Justus H. Piater
GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
14 years 1 months ago
An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data
This paper describes an extension to the Restricted Growth Function grouping Genetic Algorithm applied to the Consensus Clustering of a retinal nerve fibre layer data-set. Consens...
Stephen Swift, Allan Tucker, Jason Crampton, David...
ICDM
2007
IEEE
176views Data Mining» more  ICDM 2007»
13 years 11 months ago
A Compact Representation of Spatio-Temporal Data
As technology advances we encounter more available data on moving objects, which can be mined to our benefit. In order to efficiently mine this large amount of data we propose an ...
Sigal Elnekave, Mark Last, Oded Maimon
ERSHOV
2009
Springer
13 years 11 months ago
Indexing Dense Nested Metric Spaces for Efficient Similarity Search
Abstract. Searching in metric spaces is a very active field since it offers methods for indexing and searching by similarity in collections of unstructured data. These methods sele...
Nieves R. Brisaboa, Miguel Rodríguez Luaces...
ICPR
2006
IEEE
14 years 8 months ago
Robust Tracking of Multiple People in Crowds Using Laser Range Scanners
Laser based people tracking systems have been developed for mobile robotic or intelligent surveillance areas. Existing systems rely on laser point clustering to extract object loc...
Jinshi Cui, Hongbin Zha, Huijing Zhao, Ryosuke Shi...