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» Graph-shifts: Natural image labeling by dynamic hierarchical...
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IDT
2010
138views more  IDT 2010»
14 years 10 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
16 years 1 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
16 years 1 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
16 years 1 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
16 years 1 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...