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» Scalable Feature Extraction from Noisy Documents
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IVCNZ
1998
13 years 11 months ago
Feature point Detection in Blurred Images
: Feature point FP detection is an important pre-processing step in image registration, data fusion, object recognition and in many other tasks. This paper deals with multiframe FP...
Jaroslav Kautsky, Barbara Zitová, Jan Fluss...
SAC
2011
ACM
13 years 20 days ago
Biomedical concept extraction based on combining the content-based and word order similarities
It is well known that the main objective of conceptual retrieval models is to go beyond simple term matching by relaxing term independence assumption through concept recognition. ...
Duy Dinh, Lynda Tamine
ICASSP
2008
IEEE
14 years 4 months ago
Mutual features for robust identification and verification
Noisy or distorted video/audio training sets represent constant challenges in automated identification and verification tasks. We propose the method of Mutual Interdependence An...
Heiko Claussen, Justinian Rosca, Robert I. Damper
EMNLP
2008
13 years 11 months ago
Who is Who and What is What: Experiments in Cross-Document Co-Reference
This paper describes a language-independent, scalable system for both challenges of crossdocument co-reference: name variation and entity disambiguation. We provide system results...
Alex Baron, Marjorie Freedman
ICDAR
2007
IEEE
14 years 1 months ago
On the Use of Lexeme Features for Writer Verification
Document examiners use a variety of features to analyze a given handwritten document for writer verification. The challenge in the automatic classification of a pair of documents ...
A. Bhardwaj, A. Singh, Harish Srinivasan, Sargur N...