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» A general framework for multidimensional adaptation
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ECCV
2002
Springer
14 years 9 months ago
Probabilistic and Voting Approaches to Cue Integration for Figure-Ground Segmentation
This paper describes techniques for fusing the output of multiple cues to robustly and accurately segment foreground objects from the background in image sequences. Two different m...
Eric Hayman, Jan-Olof Eklundh
ICIP
2006
IEEE
14 years 9 months ago
Active Contour Segmentation with a Parametric Shape Prior: Link with the Shape Gradient
Active contours are adapted to image segmentation by energy minimization. The energies often exhibit local minima, requiring regularization. Such an a priori can be expressed as a...
Eric Debreuve, Michel Barlaud, Jean-Paul Marmorat,...
ICPR
2008
IEEE
14 years 9 months ago
Feature selection for real-time image matching systems
This paper proposes a general feature selection approach for real-time image matching systems. To demonstrate the idea's effectiveness, we focus on the issue of rotational in...
Quan Wang, Suya You
ICML
2009
IEEE
14 years 8 months ago
A majorization-minimization algorithm for (multiple) hyperparameter learning
We present a general Bayesian framework for hyperparameter tuning in L2-regularized supervised learning models. Paradoxically, our algorithm works by first analytically integratin...
Chuan-Sheng Foo, Chuong B. Do, Andrew Y. Ng
WWW
2003
ACM
14 years 8 months ago
Peer-to-peer architecture for content-based music retrieval on acoustic data
In traditional peer-to-peer search networks, operations focus on properly labeled files such as music or video, and the actual search is often limited to text tags. The explosive ...
Cheng Yang