We develop a framework known as Cascaded Classification Models (CCM), where repeated instantiations of these classifiers are coupled by their input/output ...
In this paper, we have presented the Cascaded Classification Models (CCM) method for combining a collection of state-of-the-art classifiers toward improving the ...
Dec 8, 2008 · Cascaded classification models: combining models for holistic scene understanding.
In this paper, we have presented the Cascaded Classification Models CCM method for combining groups of state-of-the-art classifiers toward improving the ...
Cascaded Classification Models: Combining Models for Holistic Scene Understanding, Geremy Heitz, Stephen Gould, Ashutosh Saxena, Daphne Koller. In Neural ...
This work develops a framework called Cascaded Classification Models (CCM), where repeated instantiations of these classifiers are coupled by their ...
We demonstrate the effectiveness of our method on a large set of natural images by combining the subtasks of scene categorization, object detection, multiclass ...
Cascaded classification models: Combining models for holistic scene understanding. In NIPS, 2008. [18] G. Hinton, S. Osindero, and Y.-W. Teh. A fast ...
[11] recently developed a framework for scene understanding called Cascaded Classification Models. (CCM) treating each classifier as a 'black-box'. Each.
Geremy, H, Gould, S, Saxena, A et al 2008, 'Cascaded Classification Models: Combining Models for Holistic Scene Understanding', Conference on Advances in Neural ...