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» Shape Priors using Manifold Learning Techniques
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CAV
2007
Springer
104views Hardware» more  CAV 2007»
15 years 8 months ago
Revamping TVLA: Making Parametric Shape Analysis Competitive
Abstract. TVLA is a parametric framework for shape analysis that can be easily instantiated to create different kinds of analyzers for checking properties of programs that use link...
Igor Bogudlov, Tal Lev-Ami, Thomas W. Reps, Mooly ...
135
Voted
AMR
2007
Springer
154views Multimedia» more  AMR 2007»
15 years 8 months ago
Comparison of Dimension Reduction Methods for Database-Adaptive 3D Model Retrieval
Distance measures, along with shape features, are the most critical components in a shape-based 3D model retrieval system. Given a shape feature, an optimal distance measure will v...
Ryutarou Ohbuchi, Jun Kobayashi, Akihiro Yamamoto,...
ICCV
2007
IEEE
16 years 3 months ago
Population Shape Regression From Random Design Data
Regression analysis is a powerful tool for the study of changes in a dependent variable as a function of an independent regressor variable, and in particular it is applicable to t...
Bradley C. Davis, P. Thomas Fletcher, Elizabeth Bu...
CVPR
2007
IEEE
16 years 3 months ago
Simultaneous Detection and Segmentation of Pedestrians using Top-down and Bottom-up Processing
We present a method for the simultaneous detection and segmentation of people from static images. The proposed technique requires no manual segmentation during training, and explo...
Vinay Sharma, James W. Davis
108
Voted
CAEPIA
2003
Springer
15 years 7 months ago
Enhancing Consistency Based Diagnosis with Machine Learning Techniques
This paper proposes a diagnosis architecture that integrates consistency based diagnosis with induced time series classifiers, trying to combine the advantages of both methods. Co...
Carlos J. Alonso, Juan José Rodrígue...