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» Using Maximum Entropy for Automatic Image Annotation
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COLING
2010
13 years 2 months ago
Discriminative Induction of Sub-Tree Alignment using Limited Labeled Data
We employ Maximum Entropy model to conduct sub-tree alignment between bilingual phrasal structure trees. Various lexical and structural knowledge is explored to measure the syntac...
Jun Sun, Min Zhang, Chew Lim Tan
COLING
2002
13 years 7 months ago
Simple Features for Chinese Word Sense Disambiguation
In this paper we report on our experiments on automatic Word Sense Disambiguation using a maximum entropy approach for both English and Chinese verbs. We compare the difficulty of...
Hoa Trang Dang, Ching-yi Chia, Martha Stone Palmer...
DMS
2010
229views Multimedia» more  DMS 2010»
13 years 6 months ago
Image Annotation System Using Visual and Textual Features
We present an automated Image Annotation system called I-Tag which uses both visual and textual information of the images and recommends relevant tags for them. The automatic gene...
Swapnil Barai, Alfonso F. Cardenas
AMR
2007
Springer
171views Multimedia» more  AMR 2007»
14 years 2 months ago
Automatic Image Annotation with Relevance Feedback and Latent Semantic Analysis
The goal of this paper is to study the image-concept relationship as it pertains to image annotation. We demonstrate how automatic annotation of images can be implemented on partia...
Donn Morrison, Stéphane Marchand-Maillet, E...
CIVR
2005
Springer
14 years 1 months ago
Automatic Annotation of Images from the Practitioner Perspective
This paper describes an ongoing project which seeks to contribute to a wider understanding of the realities of bridging the semantic gap in visual image retrieval. A comprehensive ...
Peter G. B. Enser, Christine J. Sandom, Paul H. Le...