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» Optimizing Learning in Image Retrieval
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ICIP
2005
IEEE
15 years 11 months ago
Curve segmentation using directional information, relation to pattern detection
We propose an extension of the conformal (or geodesic) active contour framework in which the conformal factor depends not only on the position of the curve but also on the directi...
Eric Pichon, Allen Tannenbaum
NIPS
2007
14 years 11 months ago
Multiple-Instance Active Learning
We present a framework for active learning in the multiple-instance (MI) setting. In an MI learning problem, instances are naturally organized into bags and it is the bags, instea...
Burr Settles, Mark Craven, Soumya Ray
JMLR
2012
13 years 10 days ago
Generic Methods for Optimization-Based Modeling
“Energy” models for continuous domains can be applied to many problems, but often suffer from high computational expense in training, due to the need to repeatedly minimize t...
Justin Domke
CVPR
2008
IEEE
15 years 12 months ago
Learning for stereo vision using the structured support vector machine
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
Yunpeng Li, Daniel P. Huttenlocher
CAIP
2003
Springer
222views Image Analysis» more  CAIP 2003»
15 years 3 months ago
Learning Statistical Structure for Object Detection
Abstract. Many classes of images exhibit sparse structuring of statistical dependency. Each variable has strong statistical dependency with a small number of other variables and ne...
Henry Schneiderman