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» Model generation for video-based object recognition
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ICCV
2005
IEEE
14 years 6 months ago
Combining Generative Models and Fisher Kernels for Object Recognition
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
Alex Holub, Max Welling, Pietro Perona
CVPR
2006
IEEE
14 years 7 months ago
Multiple Object Class Detection with a Generative Model
In this paper we propose an approach capable of simultaneous recognition and localization of multiple object classes using a generative model. A novel hierarchical representation ...
Krystian Mikolajczyk, Bastian Leibe, Bernt Schiele
CVPR
2005
IEEE
14 years 7 months ago
Generative versus Discriminative Methods for Object Recognition
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the di...
Ilkay Ulusoy, Christopher M. Bishop
ICMCS
2009
IEEE
131views Multimedia» more  ICMCS 2009»
13 years 2 months ago
User generated video annotation using Geo-tagged image databases
In this paper we propose a system that annotates a user generated video based on the associated location metadata, by exploiting user-tagged image databases. An example of such a ...
Golnaz Abdollahian, Edward J. Delp
CLOR
2006
13 years 8 months ago
Comparison of Generative and Discriminative Techniques for Object Detection and Classification
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the dis...
Ilkay Ulusoy, Christopher M. Bishop