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» A Statistical Learning Approach To Document Image Analysis
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SIGIR
2010
ACM
15 years 3 months ago
Adaptive near-duplicate detection via similarity learning
In this paper, we present a novel near-duplicate document detection method that can easily be tuned for a particular domain. Our method represents each document as a real-valued s...
Hannaneh Hajishirzi, Wen-tau Yih, Aleksander Kolcz
ICIP
2003
IEEE
15 years 5 months ago
Image classification using multimedia knowledge networks
This paper presents novel methods for classifying images based on knowledge discovered from annotated images using WordNet. The novelty of this work is the automatic class discove...
Ana B. Benitez, Shih-Fu Chang
ICDAR
2003
IEEE
15 years 5 months ago
Automatic Feature Selection with Applications to Script Identification of Degraded Documents
Current approaches to script identification rely on hand-selected features and often require processing a significant part of the document to achieve reliable identification. We p...
Vitaly Ablavsky, Mark R. Stevens
BMCBI
2010
208views more  BMCBI 2010»
14 years 12 months ago
Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene
Background: Image analysis is an essential component in many biological experiments that study gene expression, cell cycle progression, and protein localization. A protocol for tr...
Zafer Aydin, John I. Murray, Robert H. Waterston, ...
ICDAR
2003
IEEE
15 years 5 months ago
Generalized Hough Transform for Arabic Optical Character Recognition
The Generalized Hough Transform is a technique used to detect arbitrary objects in a given image. This technique is known for its capacity of absorption of distortions as well as ...
Sofien Touj, Najoua Essoukri Ben Amara, Hamid Amir...