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» A new HMM training and testing scheme
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DAGM
2004
Springer
15 years 2 months ago
Using Pattern Recognition for Self-Localization in Semiconductor Manufacturing Systems
In this paper we present a new method for self-localization on wafers using geometric hashing. The proposed technique is robust to image changes induced by process variations, as o...
Michael Lifshits, Roman Goldenberg, Ehud Rivlin, M...
JMLR
2012
12 years 12 months ago
A Simple Geometric Interpretation of SVM using Stochastic Adversaries
We present a minimax framework for classification that considers stochastic adversarial perturbations to the training data. We show that for binary classification it is equivale...
Roi Livni, Koby Crammer, Amir Globerson
BMCBI
2008
74views more  BMCBI 2008»
14 years 9 months ago
Prediction of mucin-type O-glycosylation sites in mammalian proteins using the composition of k-spaced amino acid pairs
Background: As one of the most common protein post-translational modifications, glycosylation is involved in a variety of important biological processes. Computational identificat...
Yong-Zi Chen, Yu-Rong Tang, Zhi-Ya Sheng, Ziding Z...
89
Voted
ICPR
2000
IEEE
15 years 10 months ago
Invariant Image Object Recognition Using Mixture Densities
In this paper we present a mixture density based approach to invariant image object recognition. We start our experiments using Gaussian mixture densities within a Bayesian classi...
Daniel Keysers, Hermann Ney, Jörg Dahmen, Mar...
JDWM
2007
107views more  JDWM 2007»
14 years 9 months ago
Evolutionary Induction of Mixed Decision Trees
This article presents a new evolutionary algorithm (EA) for induction of mixed decision trees. In nonterminal nodes of a mixed tree, different types of tests can be placed, rangin...
Marek Kretowski, Marek Grzes