63 search results - page 2 / 13 » Combining Generative Models and Fisher Kernels for Object Re... |
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...
ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
In this work, we propose a multi-class classification strategy based on Fisher kernels. Fisher kernels combine the powers of discriminative and generative classifiers by mapping v...
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
2007
IEEE
13 years 11 months ago
2007
IEEE
Decoding noisy document images is commonly needed in applications such as enterprise content management. Available OCR solutions are still not satisfactory especially on noisy ima...
ICIP
2010
IEEE
13 years 2 months ago
2010
IEEE
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...