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» Markov Random Field Modeling in Computer Vision
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ECCV
2010
Springer
14 years 2 months ago
Localizing Objects while Learning Their Appearance
Learning a new object class from cluttered training images is very challenging when the location of object instances is unknown. Previous works generally require objects covering a...
ICPR
2010
IEEE
14 years 1 months ago
On-Line Fmri Data Classification Using Linear and Ensemble Classifiers
The advent of real-time fMRI pattern classification opens many avenues for interactive self-regulation where the brain's response is better modelled by multivariate, rather t...
Catrin Oliver Plumpton, Ludmila I. Kuncheva, David...
ICPR
2010
IEEE
13 years 11 months ago
Topic-Sensitive Tag Ranking
Social tagging is an increasingly popular way to describe and classify documents on the web. However, the quality of the tags varies considerably since the tags are authored freel...
Yan'An Jin, Ruixuan Li, Zhengding Lu, Kunmei Wen, ...
ECCV
2004
Springer
14 years 24 days ago
Coaxial Omnidirectional Stereopsis
Catadioptric omnidirectional sensors (catadioptric cameras) capture instantaneous images with panoramic 360 field of view. Entire surroundings are projected via a circularly symme...
Libor Spacek
ECCV
2006
Springer
14 years 11 months ago
High Accuracy Optical Flow Serves 3-D Pose Tracking: Exploiting Contour and Flow Based Constraints
Tracking the 3-D pose of an object needs correspondences between 2-D features in the image and their 3-D counterparts in the object model. A large variety of such features has been...
Thomas Brox, Bodo Rosenhahn, Daniel Cremers, Hans-...