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LREC
2008
78views Education» more  LREC 2008»
15 years 5 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»
15 years 4 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
15 years 5 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»
15 years 2 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
16 years 5 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