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» Learning the Semantics of Words and Pictures
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MM
2005
ACM
209views Multimedia» more  MM 2005»
15 years 11 months ago
Learning an image-word embedding for image auto-annotation on the nonlinear latent space
Latent Semantic Analysis (LSA) has shown encouraging performance for the problem of unsupervised image automatic annotation. LSA conducts annotation by keywords propagation on a l...
Wei Liu, Xiaoou Tang
EMNLP
2009
15 years 3 months ago
Statistical Estimation of Word Acquisition with Application to Readability Prediction
Models of language learning play a central role in a wide range of applications: from psycholinguistic theories of how people acquire new word knowledge, to information systems th...
Paul Kidwell, Guy Lebanon, Kevyn Collins-Thompson
ECCV
2010
Springer
15 years 11 months ago
Semantic Label Sharing for Learning with Many Categories
In an object recognition scenario with tens of thousands of categories, even a small number of labels per category leads to a very large number of total labels required. We propose...
CORR
2006
Springer
102views Education» more  CORR 2006»
15 years 6 months ago
Similarity of Objects and the Meaning of Words
We survey the emerging area of compression-based, parameter-free, similarity distance measures useful in data-mining, pattern recognition, learning and automatic semantics extracti...
Rudi Cilibrasi, Paul M. B. Vitányi
SAC
2009
ACM
16 years 24 days ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan