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» Input Modeling Using Quantile Statistical Methods
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ICASSP
2010
IEEE
14 years 7 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
TIFS
2010
120views more  TIFS 2010»
14 years 7 months ago
Quantitative Structural Steganalysis of Jsteg
Quantitative steganalysis strives to estimate the change rate defined as the relative number of embedding changes introduced by steganography. In this paper, we propose two new cla...
Jan Kodovský, Jessica J. Fridrich
87
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ICDAR
2009
IEEE
15 years 7 months ago
Seal Detection and Recognition: An Approach for Document Indexing
Reliable indexing of documents having seal instances can be achieved by recognizing seal information. This paper presents a novel approach for detecting and classifying such multi...
Partha Pratim Roy, Umapada Pal, Josep Lladó...
FOCS
2005
IEEE
15 years 6 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys
DAGSTUHL
2007
15 years 2 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic Optimization
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys