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» On the Minimal Embedding Field
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ICPR
2000
IEEE
14 years 2 days ago
Classification of Style-Constrained Pattern-Fields
In some classification tasks, all patterns in a field, such as digits in a ZIP-code image, originate from the same, but unknown, source (writer/print style). The class-conditional...
Prateek Sarkar, George Nagy
ACL
2006
13 years 10 months ago
Training Conditional Random Fields with Multivariate Evaluation Measures
This paper proposes a framework for training Conditional Random Fields (CRFs) to optimize multivariate evaluation measures, including non-linear measures such as F-score. Our prop...
Jun Suzuki, Erik McDermott, Hideki Isozaki
PR
2006
89views more  PR 2006»
13 years 8 months ago
Gaussian fields for semi-supervised regression and correspondence learning
Gaussian fields (GF) have recently received considerable attention for dimension reduction and semi-supervised classification. In this paper we show how the GF framework can be us...
Jakob J. Verbeek, Nikos A. Vlassis
DATE
2005
IEEE
120views Hardware» more  DATE 2005»
14 years 2 months ago
Quasi-Static Voltage Scaling for Energy Minimization with Time Constraints
Supply voltage scaling and adaptive body-biasing are important techniques that help to reduce the energy dissipation of embedded systems. This is achieved by dynamically adjusting...
Alexandru Andrei, Marcus T. Schmitz, Petru Eles, Z...
ML
2010
ACM
138views Machine Learning» more  ML 2010»
13 years 3 months ago
Mining adversarial patterns via regularized loss minimization
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...
Wei Liu, Sanjay Chawla