Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
- 1 July 2006
- journal article
- Published by Springer Science and Business Media LLC in International Journal of Computer Vision
- Vol. 71 (3), 273-303
- https://doi.org/10.1007/s11263-006-8707-x
Abstract
No abstract availableKeywords
This publication has 26 references indexed in Scilit:
- A Sparse Object Category Model for Efficient Learning and Exhaustive RecognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Spatial Priors for Part-Based Recognition Using Statistical ModelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- A Visual Category Filter for Google ImagesLecture Notes in Computer Science, 2004
- Object class recognition by unsupervised scale-invariant learningPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- A Bayesian approach to unsupervised one-shot learning of object categoriesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Class-Specific, Top-Down SegmentationLecture Notes in Computer Science, 2002
- Learning a Sparse Representation for Object DetectionLecture Notes in Computer Science, 2002
- A Computational Model for Visual SelectionNeural Computation, 1999
- Neural network-based face detectionIeee Transactions On Pattern Analysis and Machine Intelligence, 1998
- A probabilistic approach to object recognition using local photometry and global geometryPublished by Springer Science and Business Media LLC ,1998