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» Fine-grained object recognition in underwater visual data
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GRAPHICSINTERFACE
2008
14 years 11 months ago
SurfaceFusion: unobtrusive tracking of everyday objects in tangible user interfaces
Interactive surfaces and related tangible user interfaces often involve everyday objects that are identified, tracked, and augmented with digital information. Traditional approach...
Alex Olwal, Andrew D. Wilson
IJCV
2008
223views more  IJCV 2008»
14 years 9 months ago
Robust Object Detection with Interleaved Categorization and Segmentation
This paper presents a novel method for detecting and localizing objects of a visual category in cluttered real-world scenes. Our approach considers object categorization and figure...
Bastian Leibe, Ales Leonardis, Bernt Schiele
BMCBI
2008
160views more  BMCBI 2008»
14 years 9 months ago
Feature selection environment for genomic applications
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Fabrício Martins Lopes, David Correa Martin...
IVS
2008
145views more  IVS 2008»
14 years 9 months ago
Towards a taxonomy of movement patterns
A review of research that has been carried out on data mining and visual analysis of movement patterns suggests that there is little agreement on the relevant types of movement pa...
Somayeh Dodge, Robert Weibel, Anna-Katharina Laute...
CVPR
2011
IEEE
14 years 5 months ago
Unbiased Look at Dataset Bias
Datasets are an integral part of contemporary object recognition research. They have been the chief reason for the considerable progress in the field, not just as source of large...
Antonio Torralba, Alyosha Efros