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» RANSAC-SVM for large-scale datasets
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CVPR
2010
IEEE
15 years 5 months 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
84
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CVPR
2010
IEEE
15 years 3 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...
139
Voted
ECCV
2010
Springer
15 years 3 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
15 years 2 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,...
101
Voted
TITB
2008
156views more  TITB 2008»
15 years 1 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...