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ACCV
2009
Springer
15 years 2 months ago
Adaptive-Scale Robust Estimator Using Distribution Model Fitting
We propose a new robust estimator for parameter estimation in highly noisy data with multiple structures and without prior information on the noise scale of inliers. This is a diag...
Trung Ngo Thanh, Hajime Nagahara, Ryusuke Sagawa, ...
BMCBI
2008
98views more  BMCBI 2008»
15 years 1 months ago
Empirical Bayes models for multiple probe type microarrays at the probe level
Background: When analyzing microarray data a primary objective is often to find differentially expressed genes. With empirical Bayes and penalized t-tests the sample variances are...
Magnus Åstrand, Petter Mostad, Mats Rudemo
ECCV
2008
Springer
16 years 3 months ago
Learning to Localize Objects with Structured Output Regression
Sliding window classifiers are among the most successful and widely applied techniques for object localization. However, training is typically done in a way that is not specific to...
Matthew B. Blaschko, Christoph H. Lampert
CORR
2010
Springer
140views Education» more  CORR 2010»
15 years 1 months ago
Performance Bounds and Design Criteria for Estimating Finite Rate of Innovation Signals
In this paper, we consider the problem of estimating finite rate of innovation (FRI) signals from noisy measurements, and specifically analyze the interaction between FRI technique...
Zvika Ben-Haim, Tomer Michaeli, Yonina C. Eldar
HICSS
1996
IEEE
74views Biometrics» more  HICSS 1996»
15 years 5 months ago
Querying Structured Hyperdocuments
In this paper, we present a document model which integrates the logical structure and hypertext link structure of hyperdocuments in order to manage structured documents with hyper...
Yong Kyu Lee, Seong-Joon Yoo, Kyoungro Yoon, P. Br...