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» Learning Regular Expressions from Noisy Sequences
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NIPS
2008
15 years 2 months ago
Learning with Consistency between Inductive Functions and Kernels
Regularized Least Squares (RLS) algorithms have the ability to avoid over-fitting problems and to express solutions as kernel expansions. However, we observe that the current RLS ...
Haixuan Yang, Irwin King, Michael R. Lyu
BMCBI
2011
14 years 7 months ago
Investigating the effect of paralogs on microarray gene-set analysis
Background: In order to interpret the results obtained from a microarray experiment, researchers often shift focus from analysis of individual differentially expressed genes to an...
Andre J. Faure, Cathal Seoighe, Nicola J. Mulder
112
Voted
ICPR
2002
IEEE
15 years 5 months ago
Hierarchical Interpretation of Human Activities Using Competitive Learning
In this paper we describe a method of learning hierarchical representations for describing and recognizing gestures expressed as one and two arm movements using competitive learni...
Harry Wechsler, Zoran Duric, Fayin Li
118
Voted
PAMI
2010
337views more  PAMI 2010»
14 years 11 months ago
Single-Image Super-Resolution Using Sparse Regression and Natural Image Prior
—This paper proposes a framework for single-image super-resolution. The underlying idea is to learn a map from input low-resolution images to target high-resolution images based ...
Kwang In Kim, Younghee Kwon
95
Voted
FCT
2005
Springer
15 years 6 months ago
Deterministic Automata on Unranked Trees
Abstract. We investigate bottom-up and top-down deterministic automata on unranked trees. We show that for an appropriate definition of bottom-up deterministic automata it is poss...
Julien Cristau, Christof Löding, Wolfgang Tho...