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2010
155views more  TIP 2010»
15 years 1 months ago
Multiframe Super-Resolution Reconstruction of Small Moving Objects
Multiframe super-resolution (SR) reconstruction of small moving objects against a cluttered background is difficult for two reasons: a small object consists completely of "mix...
Adam W. M. van Eekeren, Klamer Schutte, Lucas J. v...
EACL
2009
ACL Anthology
16 years 6 months ago
EM Works for Pronoun Anaphora Resolution
We present an algorithm for pronounanaphora (in English) that uses Expectation Maximization (EM) to learn virtually all of its parameters in an unsupervised fashion. While EM freq...
Eugene Charniak, Micha Elsner
EPIA
1993
Springer
15 years 10 months ago
Resolution of Constraints in Algebras of Rational Trees
Abstract. This work presents a constraint solver for the domain of rational trees. Since the problem is NP-hard the strategy used by the solver is to reduce as much as possible, in...
Luís Damas, Nelma Moreira, Sabine Broda
DAGM
2008
Springer
15 years 8 months ago
Example-Based Learning for Single-Image Super-Resolution
Abstract. This paper proposes a regression-based method for singleimage super-resolution. Kernel ridge regression (KRR) is used to estimate the high-frequency details of the underl...
Kwang In Kim, Younghee Kwon
ICANN
2005
Springer
15 years 11 months ago
Building the Cerebellum in a Computer
Abstract. We have built a realistic computational model of the cerebellum. This model simulates the cerebellar cortex of the size 0.5mm×1mm consisting of several types of neurons,...
Tadashi Yamazaki, Shigeru Tanaka