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EMMCVPR
2003
Springer
15 years 7 months ago
Asymptotic Characterization of Log-Likelihood Maximization Based Algorithms and Applications
The asymptotic distribution of estimates that are based on a sub-optimal search for the maximum of the log-likelihood function is considered. In particular, estimation schemes that...
Doron Blatt, Alfred O. Hero
SMI
2008
IEEE
15 years 8 months ago
Polygonizing skeletal sheets of CT-scanned objects by partitioin of unity approximations
The skeletal structures of solid objects play an important role in medical and industrial applications. Given a volumetrically sampled solid object, our method extracts a nice-loo...
Yukie Nagai, Yutaka Ohtake, Kiwamu Kase, Hiromasa ...
ICDAR
1995
IEEE
15 years 5 months ago
Ground-truthing and benchmarking document page segmentation
We describe a new approach for evaluating page segmentation algorithms. Unlike techniques that rely on OCR output, our method is region-based: the segmentation output, described a...
Berrin A. Yanikoglu, Luc Vincent
138
Voted
GECCO
2008
Springer
199views Optimization» more  GECCO 2008»
15 years 2 months ago
Analysis of multi-objective evolutionary algorithms to optimize dynamic data types in embedded systems
New multimedia embedded applications are increasingly dynamic, and rely on Dynamically-allocated Data Types (DDTs) to store their data. The optimization of DDTs for each target em...
José Ignacio Hidalgo, José L. Risco-...
AAAI
2007
15 years 4 months ago
Semi-Supervised Learning with Very Few Labeled Training Examples
In semi-supervised learning, a number of labeled examples are usually required for training an initial weakly useful predictor which is in turn used for exploiting the unlabeled e...
Zhi-Hua Zhou, De-Chuan Zhan, Qiang Yang