Part-Based Statistical Models for Object Classification and Detection
- 27 July 2005
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- Structural properties of composite systems analysis software development and algorithmPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Sharing Visual Features for Multiclass and Multiview Object DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence, 2007
- Distinctive Image Features from Scale-Invariant KeypointsInternational Journal of Computer Vision, 2004
- Learning to detect objects in images via a sparse, part-based representationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Robust Real-Time Face DetectionInternational Journal of Computer Vision, 2004
- A Bayesian approach to unsupervised one-shot learning of object categoriesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Object recognition with informative features and linear classificationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- A general framework for object detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A Computational Model for Visual SelectionNeural Computation, 1999
- Using generative models for handwritten digit recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1996