11 search results - page 1 / 3 » Image categorization using Fisher kernels of non-iid image m... |
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
The bag-of-words (BoW) model treats images as an unordered set of local regions and represents them by visual word histograms. Implicitly, regions are assumed to be identically an...
CVPR
2007
IEEE
13 years 11 months ago
2007
IEEE
Within the field of pattern classification, the Fisher kernel is a powerful framework which combines the strengths of generative and discriminative approaches. The idea is to ch...
ICDAR
2009
IEEE
13 years 11 months ago
2009
IEEE
The Fisher kernel is a generic framework which combines the benefits of generative and discriminative approaches to pattern classification. In this contribution, we propose to a...
ICCV
2011
IEEE
12 years 4 months ago
2011
IEEE
This paper addresses the problem of category-level image classification. The underlying image model is a graph whose nodes correspond to a dense set of regions, and edges reflec...
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
This paper introduces a method for scene categorization by modeling ambiguity in the popular codebook approach. The codebook approach describes an image as a bag of discrete visual...