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» Blowing up The Power Set of The Least Measurable
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CVPR
2005
IEEE
14 years 9 months ago
Matching with PROSAC - Progressive Sample Consensus
A new robust matching method is proposed. The Progressive Sample Consensus (PROSAC) algorithm exploits the linear ordering defined on the set of correspondences by a similarity fu...
Ondrej Chum, Jiri Matas
BMCBI
2010
139views more  BMCBI 2010»
13 years 8 months ago
A highly efficient multi-core algorithm for clustering extremely large datasets
Background: In recent years, the demand for computational power in computational biology has increased due to rapidly growing data sets from microarray and other high-throughput t...
Johann M. Kraus, Hans A. Kestler
ESAS
2005
Springer
14 years 1 months ago
Spontaneous Cooperation in Multi-domain Sensor Networks
Sensor networks are large scale networks consisting of several nodes and some base stations. The nodes are monitoring the environment and send their measurement data towards the ba...
Levente Buttyán, Tamás Holczer, P&ea...
ICIP
2002
IEEE
14 years 9 months ago
A new and simple shape descriptor based on a non-parametric multiscale model
In this paper, we present a new and robust shape descriptor, which can be efficiently used to quickly prune a search for similar shapes in a large image database. The proposed sha...
Max Mignotte
ICDM
2006
IEEE
91views Data Mining» more  ICDM 2006»
14 years 1 months ago
Entropy-based Concept Shift Detection
When monitoring sensory data (e.g., from a wearable device) the context oftentimes changes abruptly: people move from one situation (e.g., working quietly in their office) to ano...
Peter Vorburger, Abraham Bernstein