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» Detecting branching structures using local Gaussian models
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77
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KDD
2004
ACM
285views Data Mining» more  KDD 2004»
15 years 3 months ago
Effective localized regression for damage detection in large complex mechanical structures
In this paper, we propose a novel data mining technique for the efficient damage detection within the large-scale complex mechanical structures. Every mechanical structure is defi...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...
IPMI
2007
Springer
15 years 3 months ago
Spine Detection and Labeling Using a Parts-Based Graphical Model
Abstract. The detection and extraction of complex anatomical structures usually involves a trade-off between the complexity of local feature extraction and classification, and th...
Stefan Schmidt, Jörg H. Kappes, Martin Bergth...
ICML
2007
IEEE
15 years 10 months ago
Modeling changing dependency structure in multivariate time series
We show how to apply the efficient Bayesian changepoint detection techniques of Fearnhead in the multivariate setting. We model the joint density of vector-valued observations usi...
Xiang Xuan, Kevin P. Murphy
DICTA
2003
14 years 11 months ago
Background Modeling and Subtraction Using a Local-linear-dependence-based Cauchy Statistical Model
:Many motion object detection algorithms rely on the process of background subtraction, an important technique which is used for detecting changes from a model of the background ...
Ying Ming, Jingjue Jiang, Jun Ming
82
Voted
ICPR
2000
IEEE
15 years 2 months ago
Optic-Flow Information Extraction with Directional Gaussian-Derivatives
This work is intended to give some ideas to extract motion information from an image sequence. A directional energy is defined in terms of the 1-D Hermite transform coefficients o...
J. Luis Silván-Cárdenas, Boris Escal...