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» Detecting critical regions in multidimensional data sets
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IPMI
2009
Springer
14 years 8 months ago
Estimating Uncertainty in Brain Region Delineations
This paper presents a method for estimating uncertainty in MRI-based brain region delineations provided by fully-automated segmentation methods. In large data sets, the uncertainty...
Karl R. Beutner, Gautam Prasad, Evan Fletcher, Cha...
MIR
2010
ACM
226views Multimedia» more  MIR 2010»
14 years 2 months ago
Automatically annotating the MIR Flickr dataset: experimental protocols, openly available data and semantic spaces
The availability of a large, freely redistributable set of highquality annotated images is critical to allowing researchers in the area of automatic annotation, generic object rec...
Jonathon S. Hare, Paul H. Lewis
BMCBI
2006
144views more  BMCBI 2006»
13 years 7 months ago
More robust detection of motifs in coexpressed genes by using phylogenetic information
Background: Several motif detection algorithms have been developed to discover overrepresented motifs in sets of coexpressed genes. However, in a noisy gene list, the number of ge...
Pieter Monsieurs, Gert Thijs, Abeer A. Fadda, Sigr...
ICDE
2009
IEEE
130views Database» more  ICDE 2009»
14 years 9 months ago
Recursive Computation of Regions and Connectivity in Networks
In recent years, the data management community has begun to consider situations in which data access is closely tied to network routing and distributed acquisition: examples includ...
Mengmeng Liu, Nicholas E. Taylor, Wenchao Zhou, Za...
CVPR
2001
IEEE
14 years 9 months ago
Rapid Object Detection using a Boosted Cascade of Simple Features
This paper describes a machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates. This wor...
Paul A. Viola, Michael J. Jones