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ECCV
2008
Springer
16 years 1 months ago
Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features
Abstract. Recently, impressive results have been reported for the detection of objects in challenging real-world scenes. Interestingly however, the underlying models vary greatly e...
Paul Schnitzspan, Mario Fritz, Bernt Schiele
CVPR
2007
IEEE
16 years 1 months ago
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
Fabien Scalzo, Justus H. Piater
KDD
2009
ACM
172views Data Mining» more  KDD 2009»
16 years 4 days ago
Towards combining web classification and web information extraction: a case study
: ? Towards Combining Web Classification and Web Information Extraction: a Case Study Ping Luo, Fen Lin, Yuhong Xiong, Yong Zhao, Zhongzhi Shi HP Laboratories HPL-2009-86 Classific...
Ping Luo, Fen Lin, Yuhong Xiong, Yong Zhao, Zhongz...
IJCV
2012
13 years 2 months ago
Minimizing Energies with Hierarchical Costs
Abstract Computer vision is full of problems elegantly expressed in terms of energy minimization. We characterize a class of energies with hierarchical costs and propose a novel hi...
Andrew Delong, Lena Gorelick, Olga Veksler, Yuri B...
CVPR
2007
IEEE
16 years 1 months ago
Precise Registration of 3D Models To Images by Swarming Particles
The precise alignment of a 3D model to 2D sensor images to recover the pose of an object in a scene is an important topic in computer vision. In this work, we outline a registrati...
Joerg Liebelt, Klaus Schertler