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» RANSAC-SVM for large-scale datasets
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CVPR
2010
IEEE
14 years 12 days ago
Large-Scale Image Categorization with Explicit Data Embedding
Kernel machines rely on an implicit mapping of the data such that non-linear classification in the original space corresponds to linear classification in the new space. As kernel ...
Florent Perronnin, Jorge Sanchez, Yan Liu
CVPR
2010
IEEE
13 years 11 months ago
Large-Scale Image Retrieval with Compressed Fisher Vectors
The problem of large-scale image search has been traditionally addressed with the bag-of-visual-words (BOV). In this article, we propose to use as an alternative the Fisher kernel...
Florent Perronnin, Yan Liu, Jorge Sanchez, Herve P...
ECCV
2010
Springer
13 years 11 months ago
Improving the Fisher Kernel for Large-Scale Image Classification
Abstract. The Fisher kernel (FK) is a generic framework which combines the benefits of generative and discriminative approaches. In the context of image classification the FK was s...
ICASSP
2010
IEEE
13 years 9 months ago
Towards large scale distributed coding
This paper considers the problem of distributed source coding for a large sensor network. A typical shortcoming of current approaches to true distributed coding is the exponential...
Sharadh Ramaswamy, Kumar Viswanatha, Ankur Saxena,...
TITB
2008
156views more  TITB 2008»
13 years 9 months ago
Large-Scale Biomedical Image Analysis in Grid Environments
Abstract--This paper presents the application of a componentbased Grid middleware system for processing extremely large images obtained from digital microscopy devices. We have dev...
Vijay S. Kumar, Benjamin Rutt, Tahsin M. Kur&ccedi...