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» Feature Space Trajectory Methods for Active Computer Vision
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ICPR
2010
IEEE
13 years 5 months ago
Boosting Bayesian MAP Classification
In this paper we redefine and generalize the classic k-nearest neighbors (k-NN) voting rule in a Bayesian maximum-a-posteriori (MAP) framework. Therefore, annotated examples are u...
Paolo Piro, Richard Nock, Frank Nielsen, Michel Ba...
ICCV
2009
IEEE
13 years 5 months ago
Associative hierarchical CRFs for object class image segmentation
Most methods for object class segmentation are formulated as a labelling problem over a single choice of quantisation of an image space - pixels, segments or group of segments. It...
Lubor Ladicky, Christopher Russell, Pushmeet Kohli...
SCALESPACE
2007
Springer
14 years 1 months ago
The Variational Origin of Motion by Gaussian Curvature
A variational formulation of an image analysis problem has the nice feature that it is often easier to predict the eect of minimizing a certain energy functional than to interpret...
Niels Chr. Overgaard, Jan Erik Solem
CVPR
2012
IEEE
11 years 10 months ago
Spherical hashing
Many binary code encoding schemes based on hashing have been actively studied recently, since they can provide efficient similarity search, especially nearest neighbor search, an...
Jae-Pil Heo, Youngwoon Lee, Junfeng He, Shih-Fu Ch...
CVPR
2006
IEEE
14 years 9 months ago
Image Matching Using Photometric Information
Image matching is an essential task in many computer vision applications. It is obvious that thorough utilization of all available information is critical for the success of match...
Michael Kolomenkin, Ilan Shimshoni