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» Learning with Annotation Noise
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ICML
2000
IEEE
16 years 4 months ago
A Nonparametric Approach to Noisy and Costly Optimization
This paper describes Pairwise Bisection: a nonparametric approach to optimizing a noisy function with few function evaluations. The algorithm uses nonparametric reasoning about si...
Brigham S. Anderson, Andrew W. Moore, David Cohn
ACL
2007
15 years 5 months ago
Grammar Approximation by Representative Sublanguage: A New Model for Language Learning
We propose a new language learning model that learns a syntactic-semantic grammar from a small number of natural language strings annotated with their semantics, along with basic ...
Smaranda Muresan, Owen Rambow
AIA
2006
15 years 5 months ago
Some Experiments Around a Neural Network for Multimodal Associations
This paper presents a study of the model of triple BAM by [11] which is an improved variation of the original BAM model by [7]. This class of model aims at integrating different s...
Yann Boniface, Reghis Abdelmalek
CVPR
2006
IEEE
16 years 6 months ago
AnnoSearch: Image Auto-Annotation by Search
Although it has been studied for several years by computer vision and machine learning communities, image annotation is still far from practical. In this paper, we present AnnoSea...
Xin-Jing Wang, Lei Zhang, Feng Jing, Wei-Ying Ma
MM
2004
ACM
219views Multimedia» more  MM 2004»
15 years 9 months ago
Multi-level annotation of natural scenes using dominant image components and semantic concepts
Automatic image annotation is a promising solution to enable semantic image retrieval via keywords. In this paper, we propose a multi-level approach to annotate the semantics of n...
Jianping Fan, Yuli Gao, Hangzai Luo