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» Using Gaussian Processes to Optimize Expensive Functions
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JMLR
2010
135views more  JMLR 2010»
13 years 9 months ago
Bundle Methods for Regularized Risk Minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
Choon Hui Teo, S. V. N. Vishwanathan, Alex J. Smol...
ICDAR
2009
IEEE
14 years 5 months ago
Statistical Modeling and Learning for Recognition-Based Handwritten Numeral String Segmentation
This paper proposes a recognition based approach to handwritten numeral string segmentation. We consider two classes: numeral strings segmented correctly or not. The feature vecto...
Yanjie Wang, Xiabi Liu, Yunde Jia
ICASSP
2011
IEEE
13 years 2 months ago
Pronunciation variation modeling of non-native proper names by discriminative tree search
In this paper, the task of selecting the optimal subset of pronunciation variants from a set of automatically generated candidates is recast as a tree search problem. In this appr...
Line Adde, Torbjørn Svendsen
VLSID
2002
IEEE
189views VLSI» more  VLSID 2002»
14 years 11 months ago
Automatic Modeling and Validation of Pipeline Specifications Driven by an Architecture Description Language
Verification is one of the most complex and expensive tasks in the current Systems-on-Chip (SOC) design process. Many existing approaches employ a bottom-up approach to pipeline v...
Prabhat Mishra, Hiroyuki Tomiyama, Ashok Halambi, ...
PRL
2006
115views more  PRL 2006»
13 years 10 months ago
A hybrid parallel projection approach to object-based image restoration
Approaches analyzing local characteristics of an image prevail in image restoration. However, they are less effective in cases of restoring images degraded by large size point spr...
Xin Fan, Hua Huang, Dequn Liang, Chun Qi