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» Modeling Scenes with Local Descriptors and Latent Aspects
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CVPR
2009
IEEE
16 years 5 months ago
Learning Visual Flows: A Lie Algebraic Approach
We present a novel method for modeling dynamic visual phenomena, which consists of two key aspects. First, the in- tegral motion of constituent elements in a dynamic scene is ca...
Dahua Lin, W. Eric L. Grimson, John W. Fisher III
MM
2006
ACM
127views Multimedia» more  MM 2006»
15 years 3 months ago
The computational extraction of temporal formal structures in the interactive dance work '22'
In this paper we propose a framework for the computational extraction of time characteristics of a single choreographic work. Computational frameworks can aid in revealing nonsali...
Vidyarani M. Dyaberi, Hari Sundaram, Thanassis Rik...
WWW
2008
ACM
15 years 10 months ago
A differential notion of place for local search
For extracting the characteristics a specific geographic entity, and notably a place, we propose to use dynamic Extreme Tagging Systems in combination with the classic approach of...
Vlad Tanasescu, John Domingue
ICCV
2011
IEEE
13 years 10 months ago
Perturb-and-MAP Random Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
George Papandreou, Alan L. Yuille
EMMCVPR
2005
Springer
15 years 3 months ago
Object Categorization by Compositional Graphical Models
This contribution proposes a compositionality architecture for visual object categorization, i.e., learning and recognizing multiple visual object classes in unsegmented, cluttered...
Björn Ommer, Joachim M. Buhmann