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» Document Retrieval Using SIFT Image Features
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SIGIR
2009
ACM
15 years 6 months ago
An improved markov random field model for supporting verbose queries
Recent work in supervised learning of term-based retrieval models has shown significantly improved accuracy can often be achieved via better model estimation [2, 10, 11, 17]. In ...
Matthew Lease
CIVR
2007
Springer
192views Image Analysis» more  CIVR 2007»
15 years 6 months ago
Texture retrieval based on a non-parametric measure for multivariate distributions
In the present study, an efficient strategy for retrieving texture images from large texture databases is introduced and studied within a distributional-statistical framework. Our...
Vasileios K. Pothos, Christos Theoharatos, George ...
ICIP
2003
IEEE
16 years 1 months ago
Annotating retrieval database with active learning
In this paper, we describe a retrieval system that uses hidden annotation to improve the performance. The contribution of this paper is a novel active learning framework that can ...
Cha Zhang, Tsuhan Chen
ICDE
1999
IEEE
184views Database» more  ICDE 1999»
16 years 1 months ago
Document Warehousing Based on a Multimedia Database System
Nowadays, structured data such as sales and business forms are stored in data warehouses for decision makers to use. Further, unstructured data such as emails, html texts, images,...
Hiroshi Ishikawa, Kazumi Kubota, Yasuo Noguchi, Ko...
ICDAR
2009
IEEE
15 years 6 months ago
Graphic Symbol Recognition Using Graph Based Signature and Bayesian Network Classifier
We present a new approach for recognition of complex graphic symbols in technical documents. Graphic symbol recognition is a well known challenge in the field of document image an...
Muhammad Muzzamil Luqman, Thierry Brouard, Jean-Yv...