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» Modeling Redundancy: Quantitative and Qualitative Models
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DSMML
2004
Springer
14 years 2 months ago
Can Gaussian Process Regression Be Made Robust Against Model Mismatch?
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...
Peter Sollich
ACL
2010
13 years 7 months ago
Generating Templates of Entity Summaries with an Entity-Aspect Model and Pattern Mining
In this paper, we propose a novel approach to automatic generation of summary templates from given collections of summary articles. This kind of summary templates can be useful in...
Peng Li, Jing Jiang, Yinglin Wang
TMI
2010
164views more  TMI 2010»
13 years 3 months ago
Robust Reconstruction of MRSI Data Using a Sparse Spectral Model and High Resolution MRI Priors
We introduce a novel algorithm to address the challenges in magnetic resonance (MR) spectroscopic imaging. In contrast to classical sequential data processing schemes, the proposed...
Ramin Eslami, Mathews Jacob
ICCV
2011
IEEE
12 years 9 months ago
Robust Object Pose Estimation via Statistical Manifold Modeling
We propose a novel statistical manifold modeling approach that is capable of classifying poses of object categories from video sequences by simultaneously minimizing the intra-cla...
Liang Mei, Jingen Liu, Alfred Hero, Silvio Savares...
CVPR
2012
IEEE
11 years 11 months ago
Visual tracking via adaptive structural local sparse appearance model
Sparse representation has been applied to visual tracking by finding the best candidate with minimal reconstruction error using target templates. However most sparse representati...
Xu Jia, Huchuan Lu, Ming-Hsuan Yang