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» A Novel Approach to Fast Discrete Hartley Transform
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ICANN
2007
Springer
14 years 1 months ago
Structure Learning with Nonparametric Decomposable Models
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
Anton Schwaighofer, Mathäus Dejori, Volker Tr...
TIP
1998
240views more  TIP 1998»
13 years 7 months ago
DCT-based motion estimation
—We propose novel discrete cosine transform (DCT) pseudophase techniques to estimate shift/delay between two onedimensional (1-D) signals directly from their DCT coefficients by...
Ut-Va Koc, K. J. Ray Liu
VLDB
2006
ACM
124views Database» more  VLDB 2006»
14 years 8 months ago
Query optimization in XML structured-document databases
While the information published in the form of XML-compliant documents keeps fast mounting up, efficient and effective query processing and optimization for XML have now become mor...
Dunren Che, Karl Aberer, M. Tamer Özsu
ICDAR
2003
IEEE
14 years 1 months ago
On-line Signature Verification Using Local Shape Analysis
This paper presents a novel approach to the on-line signature verification using local shape Analysis. First, segment the input signature into several segments using HMM (Hidden M...
Mingfu Zou, Jianjun Tong, Changping Liu, Zhenglian...
ICCV
2007
IEEE
14 years 2 months ago
Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features
Multi-chamber heart segmentation is a prerequisite for global quantification of the cardiac function. The complexity of cardiac anatomy, poor contrast, noise or motion artifacts ...
Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Mich...