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» Performance evaluation for text processing of noisy inputs
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SIGMOD
2009
ACM
137views Database» more  SIGMOD 2009»
14 years 8 months ago
Robust and efficient algorithms for rank join evaluation
In the rank join problem we are given a relational join R1 1 R2 and a function that assigns numeric scores to the join tuples, and the goal is to return the tuples with the highes...
Jonathan Finger, Neoklis Polyzotis
ACCV
2010
Springer
13 years 3 months ago
A Method for Text Localization and Recognition in Real-World Images
A general method for text localization and recognition in real-world images is presented. The proposed method is novel, as it (i) departs from a strict feed-forward pipeline and re...
Lukas Neumann, Jiri Matas
EMNLP
2007
13 years 9 months ago
A Comparative Evaluation of Deep and Shallow Approaches to the Automatic Detection of Common Grammatical Errors
This paper compares a deep and a shallow processing approach to the problem of classifying a sentence as grammatically wellformed or ill-formed. The deep processing approach uses ...
Joachim Wagner, Jennifer Foster, Josef van Genabit...
ICMCS
2005
IEEE
90views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Integrating co-training and recognition for text detection
Training a good text detector requires a large amount of labeled data, which can be very expensive to obtain. Cotraining has been shown to be a powerful semi-supervised learning t...
Wen Wu, Datong Chen, Jie Yang
ICASSP
2009
IEEE
14 years 2 months ago
An auditory-based feature for robust speech recognition
A conventional automatic speech recognizer does not perform well in the presence of noise, while human listeners are able to segregate and recognize speech in noisy conditions. We...
Yang Shao, Zhaozhang Jin, DeLiang Wang, Soundarara...