Image Classification Using Super-Vector Coding of Local Image Descriptors
Top Cited Papers
- 1 January 2010
- book chapter
- Published by Springer Nature
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- The Pascal Visual Object Classes (VOC) ChallengeInternational Journal of Computer Vision, 2009
- A New Baseline for Image AnnotationPublished by Springer Nature ,2008
- Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object RecognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2007
- Fisher Kernels on Visual Vocabularies for Image CategorizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2007
- Semantic Hierarchies for Visual Object RecognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2007
- Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categoriesComputer Vision and Image Understanding, 2007
- Learning The Discriminative Power-Invariance Trade-OffPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2007
- Object Recognition with Features Inspired by Visual CortexPublished by Defense Technical Information Center (DTIC) ,2006
- Bhattacharyya and Expected Likelihood KernelsPublished by Springer Nature ,2003
- Gradient-based learning applied to document recognitionProceedings of the IEEE, 1998