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» Using Maximum Entropy for Automatic Image Annotation
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DRR
2008
13 years 9 months ago
Whole-book recognition using mutual-entropy-driven model adaptation
We describe an approach to unsupervised high-accuracy recognition of the textual contents of an entire book using fully automatic mutual-entropy-based model adaptation. Given imag...
Pingping Xiu, Henry S. Baird
EMNLP
2007
13 years 9 months ago
Part-of-Speech Tagging for Middle English through Alignment and Projection of Parallel Diachronic Texts
We demonstrate an approach for inducing a tagger for historical languages based on existing resources for their modern varieties. Tags from Present Day English source text are pro...
Taesun Moon, Jason Baldridge
MM
2004
ACM
178views Multimedia» more  MM 2004»
14 years 1 months ago
A bootstrapping framework for annotating and retrieving WWW images
Most current image retrieval systems and commercial search engines use mainly text annotations to index and retrieve WWW images. This research explores the use of machine learning...
HuaMin Feng, Rui Shi, Tat-Seng Chua
MICCAI
2007
Springer
14 years 8 months ago
Automatic Fetal Measurements in Ultrasound Using Constrained Probabilistic Boosting Tree
Abstract. Automatic delineation and robust measurement of fetal anatomical structures in 2D ultrasound images is a challenging task due to the complexity of the object appearance, ...
Gustavo Carneiro, Bogdan Georgescu, Sara Good, Dor...
MMM
2009
Springer
93views Multimedia» more  MMM 2009»
14 years 4 months ago
SenseCam Image Localisation Using Hierarchical SURF Trees
The SenseCam is a wearable camera that automatically takes photos of the wearer’s activities, generating thousands of images per day. Automatically organising these images for eï...
Ciarán O. Conaire, Michael Blighe, Noel E. ...