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» Graph-shifts: Natural image labeling by dynamic hierarchical...
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IDT
2010
138views more  IDT 2010»
13 years 3 months ago
Challenging computer software frontiers and the human resistance to change
This paper examines the driving and opposing forces that are governing the current paradigm shift from a data-processing information technology environment without software intell...
Jens Pohl
ICIP
2005
IEEE
14 years 7 months ago
Joint feature-spatial-measure space: a new approach to highly efficient probabilistic object tracking
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
Feng Chen, XiaoTong Yuan, ShuTang Yang
CVPR
2008
IEEE
14 years 7 months ago
Discriminative modeling by Boosting on Multilevel Aggregates
This paper presents a new approach to discriminative modeling for classi cation and labeling. Our method, called Boosting on Multilevel Aggregates (BMA), adds a new class of hiera...
Jason J. Corso
CVPR
2008
IEEE
14 years 7 months ago
Optical flow estimation with uncertainties through dynamic MRFs
In this paper, we propose a novel dynamic discrete framework to address image morphing with application to optical flow estimation. We reformulate the problem using a number of di...
Ben Glocker, Nikos Paragios, Nikos Komodakis, Geor...
CVPR
2008
IEEE
14 years 7 months ago
Action recognition using ballistic dynamics
We present a Bayesian framework for action recognition through ballistic dynamics. Psycho-kinesiological studies indicate that ballistic movements form the natural units for human...
Shiv Naga Prasad Vitaladevuni, Vili Kellokumpu, La...