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CVPR
2008
IEEE
14 years 9 months ago
A discriminatively trained, multiscale, deformable part model
This paper describes a discriminatively trained, multiscale, deformable part model for object detection. Our system achieves a two-fold improvement in average precision over the b...
Pedro F. Felzenszwalb, David A. McAllester, Deva R...
ECCV
2006
Springer
14 years 9 months ago
Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...
David J. Crandall, Daniel P. Huttenlocher
ECCV
2010
Springer
13 years 11 months ago
Contour Grouping and Abstraction using Simple Part Models
Grouping and Abstraction Using Simple Part Models Pablo Sala and Sven Dickinson Department of Computer Science, University of Toronto, Toronto ON, Canada We address the problem of ...
ENTCS
2008
85views more  ENTCS 2008»
13 years 7 months ago
General Refinement, Part One: Interfaces, Determinism and Special Refinement
We introduce a general model of refinement. This is defined in terms of what contexts an entity can appear in, and what observations can be made of it in those contexts. We show e...
Steve Reeves, David Streader
IMR
2003
Springer
14 years 27 days ago
Meshing Complexity of Single Part CAD Models
This paper proposes a method for predicting the complexity of meshing Computer Aided Design (CAD) geometries with unstructured, hexahedral, finite elements. Meshing complexity ref...
David R. White, Sunil Saigal, Steven J. Owen