Improving the Fisher Kernel for Large-Scale Image Classification
Top Cited Papers
- 1 January 2010
- book chapter
- Published by Springer Nature in Lecture Notes in Computer Science
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- Efficient additive kernels via explicit feature mapsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- The Pascal Visual Object Classes (VOC) ChallengeInternational Journal of Computer Vision, 2009
- Max-margin additive classifiers for detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- Visual category recognition using Spectral Regression and Kernel Discriminant AnalysisPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- What is the spatial extent of an object?Published by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- 80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene RecognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2008
- Fisher Kernels on Visual Vocabularies for Image CategorizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2007
- Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive StudyInternational Journal of Computer Vision, 2006
- Training linear SVMs in linear timePublished by Association for Computing Machinery (ACM) ,2006
- Distinctive Image Features from Scale-Invariant KeypointsInternational Journal of Computer Vision, 2004