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» Decision Detection Using Hierarchical Graphical Models
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ICIP
2010
IEEE
13 years 6 months ago
A cascaded hierarchical framework for moving object detection and tracking
In this paper we propose a cascaded hierarchical framework for object detection and tracking. We claim that, by integrating both detection and tracking into a unified framework, t...
Chingchun Huang, Sheng-Jyh Wang
ICASSP
2010
IEEE
13 years 8 months ago
Hierarchical language modeling for audio events detection in a sports game
We investigate the automatic labelling of “events” from an audio recording of a sports game. We describe a technique that utilises a hierarchy of language models, which are a ...
Qiang Huang, Stephen Cox
ICASSP
2011
IEEE
13 years 10 days ago
Graphical models for localization of the seizure focus from interictal intracranial EEG
Decision algorithms are developed that use periods of intracranial non-seizure (interictal) EEG to localize epileptogenic networks. Depth and surface recordings are considered fro...
Justin Dauwels, Emad N. Eskandar, Andy Cole, Dan H...
ICCV
2005
IEEE
14 years 10 months ago
Probabilistic Contour Extraction Using Hierarchical Shape Representation
In this paper, we address the issue of extracting contour of the object with a specific shape. A hierarchical graphical model is proposed to represent shape variations. A complex ...
Xin Fan, Chun Qi, Dequn Liang, Hua Huang
BMVC
2001
13 years 11 months ago
Hierarchical Combination of Object Models using Mutual Information
Combining different and complementary object models promises to increase the robustness and generality of today’s computer vision algorithms. This paper introduces a new method ...
Hannes Kruppa, Bernt Schiele