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» On the monotonization of the training set
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ICIP
2005
IEEE
16 years 2 months ago
Layered local prediction network with dynamic learning for face super-resolution
In this paper, we propose a novel framework for face super-resolution based on a layered predictor network. In the first layer, multiple predictors are trained online with a dynami...
Dahua Lin, Wei Liu, Xiaoou Tang
118
Voted
EMNLP
2010
14 years 10 months ago
Improved Fully Unsupervised Parsing with Zoomed Learning
We introduce a novel training algorithm for unsupervised grammar induction, called Zoomed Learning. Given a training set T and a test set S, the goal of our algorithm is to identi...
Roi Reichart, Ari Rappoport
81
Voted
ESANN
2000
15 years 1 months ago
Self-Organisation in the SOM with a finite number of possible inputs
Abstract. Given a one dimensional SOM with a monotonically decreasing neighbourhood and an input distribution which is not Lebesque continuous, a set of su cient conditions and a T...
John A. Flanagan
CORR
2000
Springer
132views Education» more  CORR 2000»
15 years 12 days ago
Declarative Representation of Revision Strategies
Abstract. We introduce a nonmonotonic framework for belief revision in which reasoning about the reliability of different pieces of information based on meta-knowledge about the in...
Gerhard Brewka
69
Voted
ICPR
2008
IEEE
15 years 7 months ago
RANSAC-SVM for large-scale datasets
Support Vector Machines (SVMs), though accurate, are still difficult to solve large-scale applications, due to the computational and storage requirement. To relieve this problem,...
Kenji Watanabe, Takio Kurita