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» MRA data segmentation using level sets
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ML
2002
ACM
178views Machine Learning» more  ML 2002»
15 years 3 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey
141
Voted
ICCV
2009
IEEE
16 years 9 months ago
Decomposing a Scene into Geometric and Semantically Consistent Regions
High-level, or holistic, scene understanding involves reasoning about objects, regions, and the 3D relationships between them. This requires a representation above the level of ...
Stephen Gould, Richard Fulton, Daphne Koller
ICARCV
2006
IEEE
132views Robotics» more  ICARCV 2006»
15 years 10 months ago
Dynamic Environment Modeling with Gridmap: A Multiple-Object Tracking Application
— The Bayesian occupancy filter (BOF) [1] has achieved promising results in the object tracking applications. This paper presents a new development of BOF which inherits origina...
Cheng Chen, Christopher Tay, Christian Laugier, Ka...
3DIM
2001
IEEE
15 years 7 months ago
Comparison of HK and SC Curvature Description Methods
This paper compares two different local surface shape description methods. The general goal of surface shape description methods is to classify different surface shapes from range...
H. Cantzler, Robert B. Fisher
152
Voted
CVPR
2008
IEEE
16 years 6 months ago
Randomized trees for human pose detection
This paper addresses human pose recognition from video sequences by formulating it as a classification problem. Unlike much previous work we do not make any assumptions on the ava...
Grégory Rogez, Jonathan Rihan, Srikumar Ram...