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INTERSPEECH
2010
14 years 6 months ago
Hierarchical bottle neck features for LVCSR
This paper investigates the combination of different neural network topologies for probabilistic feature extraction. On one hand, a five-layer neural network used in bottle neck f...
Christian Plahl, Ralf Schlüter, Hermann Ney
AI
2005
Springer
14 years 11 months ago
Unsupervised named-entity extraction from the Web: An experimental study
The KNOWITALL system aims to automate the tedious process of extracting large collections of facts (e.g., names of scientists or politicians) from the Web in an unsupervised, doma...
Oren Etzioni, Michael J. Cafarella, Doug Downey, A...
KDD
1997
ACM
169views Data Mining» more  KDD 1997»
15 years 3 months ago
Learning to Extract Text-Based Information from the World Wide Web
Thereis a wealthof informationto be minedfromnarrative text on the WorldWideWeb.Unfortunately, standard natural language processing (NLP)extraction techniques expect full, grammat...
Stephen Soderland
MMSEC
2006
ACM
160views Multimedia» more  MMSEC 2006»
15 years 5 months ago
Extraction in software watermarking
The widespread use of the Internet makes software piracy and unauthorized modification easier and more frequent. Among the many techniques developed for protecting software copyr...
William Zhu, Clark D. Thomborson
ICDAR
2011
IEEE
13 years 11 months ago
A New Fourier-Moments Based Video Word and Character Extraction Method for Recognition
— This paper presents a new method based on Fourier and moments features to extract words and characters from a video text line in any direction for recognition. Unlike existing ...
Deepak Rajendran, Palaiahnakote Shivakumara, Bolan...