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» Using Maximum Entropy for Automatic Image Annotation
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NIPS
2003
13 years 9 months ago
A Model for Learning the Semantics of Pictures
We propose an approach to learning the semantics of images which allows us to automatically annotate an image with keywords and to retrieve images based on text queries. We do thi...
Victor Lavrenko, R. Manmatha, Jiwoon Jeon
EMNLP
2009
13 years 5 months ago
Finding Short Definitions of Terms on Web Pages
We present a system that finds short definitions of terms on Web pages. It employs a Maximum Entropy classifier, but it is trained on automatically generated examples; hence, it i...
Gerasimos Lampouras, Ion Androutsopoulos
MVA
2007
173views Computer Vision» more  MVA 2007»
13 years 9 months ago
Microscopic Image Segmentation with Two-dimensional Exponential Entropy Based on Hybrid Microcanonical Annealing
Counting cells and following the evolution of the biological layers are important applications in microscopic imagery. In this paper, a microscopic image segmentation method with ...
Amir Nakib, Hamouche Oulhadj, Patrick Siarry
ICIP
2007
IEEE
14 years 2 months ago
Propagating Image-Level Part Statistics to Enhance Object Detection
The bag-of-words approach has become increasingly attractive in the fields of object category recognition and scene classification, witnessed by some successful applications [5, 7...
Sheng Gao, Joo-Hwee Lim, Qibin Sun
CIVR
2005
Springer
183views Image Analysis» more  CIVR 2005»
14 years 1 months ago
Automated Image Annotation Using Global Features and Robust Nonparametric Density Estimation
This paper describes a simple framework for automatically annotating images using non-parametric models of distributions of image features. We show that under this framework quite ...
Alexei Yavlinsky, Edward Schofield, Stefan M. R&uu...