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» Efficiently Mining Regional Outliers in Spatial Data
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1079views
13 years 2 months ago
Global Contrast based Salient Region Detection
Reliable estimation of visual saliency allows appropriate processing of images without prior knowledge of their content, and thus remains an important step in many computer vision ...
BMCBI
2008
204views more  BMCBI 2008»
13 years 7 months ago
EST2uni: an open, parallel tool for automated EST analysis and database creation, with a data mining web interface and microarra
Background: Expressed sequence tag (EST) collections are composed of a high number of single-pass, redundant, partial sequences, which need to be processed, clustered, and annotat...
Javier Forment, Francisco Gilabert Villamón...
PCI
2001
Springer
14 years 3 days ago
SEISMO-SURFER: A Prototype for Collecting, Querying, and Mining Seismic Data
Earthquake phenomena constitute a rich source of information over the years. Typically, the frequency of earthquakes worldwide is one every second. Collecting and querying seismic ...
Yannis Theodoridis
ICIP
2006
IEEE
14 years 9 months ago
Adaptive Region-Based Compression of Multispectral Images
The region-based description of multispectral images enables important high-level tasks such as data mining and retrieval, and region-of-interest selection. In order to obtain an ...
Marco Cagnazzo, Raffaele Gaetano, Sara Parrilli, L...
ICIP
2004
IEEE
14 years 9 months ago
Minimizing a weighted error criterion for spatial error concealment of missing image data
In this contribution we present an algorithm for spatial error concealment of lost image data caused by transmission of images in error prone environments. The surrounding correct...
André Kaup, Katrin Meisinger