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LREC
2008
78views Education» more  LREC 2008»
13 years 11 months ago
Approximating Learning Curves for Active-Learning-Driven Annotation
Active learning (AL) is getting more and more popular as a methodology to considerably reduce the annotation effort when building training material for statistical learning method...
Katrin Tomanek, Udo Hahn
TSP
2008
106views more  TSP 2008»
13 years 10 months ago
An EM Algorithm for Ion-Channel Current Estimation
Parameter estimation of a continuous-time Markov chain observed through a discrete-time memoryless channel is studied. An expectation-maximization (EM) algorithm for maximum likeli...
William J. J. Roberts, Yariv Ephraim
ESANN
2008
13 years 11 months ago
Word recognition and incremental learning based on neural associative memories and hidden Markov models
Abstract. An architecture for achieving word recognition and incremental learning of new words in a language processing system is presented. The architecture is based on neural ass...
Zöhre Kara Kayikci, Günther Palm
PE
2010
Springer
119views Optimization» more  PE 2010»
13 years 8 months ago
A discrete-time Markov-modulated queuing system with batched arrivals
This paper examines a discrete-time queuing system with applications to telecommunications traffic. The arrival process is a particular Markov modulated process which belongs to t...
Richard G. Clegg
ICIP
2004
IEEE
14 years 11 months ago
Data hiding in curves for collusion-resistant digital fingerprinting
* This paper presents a new data hiding method for curves. The proposed algorithm parameterizes a curve using the B-spline model and adds a spread spectrum sequence in the coordina...
Hongmei Gou, Min Wu