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ICASSP
2010
IEEE
13 years 2 months ago
Unsupervised knowledge acquisition for Extracting Named Entities from speech
This paper presents a Named Entity Recognition (NER) method dedicated to process speech transcriptions. The main principle behind this method is to collect in an unsupervised way ...
Frédéric Béchet, Eric Charton
FSTTCS
2009
Springer
14 years 1 months ago
Randomness extractors -- applications and constructions
Randomness extractors are efficient algorithms which convert weak random sources into nearly perfect ones. While such purification of randomness was the original motivation for c...
Avi Wigderson
FSE
2007
Springer
263views Cryptology» more  FSE 2007»
14 years 1 months ago
Bad and Good Ways of Post-processing Biased Physical Random Numbers
Algorithmic post-processing is used to overcome statistical deficiencies of physical random number generators. We show that the quasigroup based approach for post-processing rando...
Markus Dichtl
ICIP
2005
IEEE
14 years 29 days ago
Robust highlight extraction using multi-stream hidden Markov models for baseball video
This paper proposes a robust statistical framework to extract highlights from a baseball broadcast video. We applied multistream Hidden Markov Models (HMMs) to control the weights...
Nguyen Huu Bach, Koichi Shinoda, Sadaoki Furui
TCSV
2008
152views more  TCSV 2008»
13 years 7 months ago
Animation Key-Frame Extraction and Simplification Using Deformation Analysis
Three-dimensional animating meshes have been widely used in the computer graphics and video game industries. Reducing the animating mesh complexity is a common way of overcoming th...
Tong-Yee Lee, Chao-Hung Lin, Yu-Shuen Wang, Tai-Gu...