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BMCBI
2010
123views more  BMCBI 2010»
14 years 11 months ago
Decoding HMMs using the k best paths: algorithms and applications
Background: Traditional algorithms for hidden Markov model decoding seek to maximize either the probability of a state path or the number of positions of a sequence assigned to th...
Daniel G. Brown 0001, Daniil Golod
CVPR
2012
IEEE
13 years 1 months ago
Enhanced continuous sign language recognition using PCA and neural network features
In this work a Gaussian Hidden Markov Model (GHMM) based automatic sign language recognition system is built on the SIGNUM database. The system is trained on appearance-based feat...
Yannick L. Gweth, Christian Plahl, Hermann Ney
IJCAI
2001
15 years 20 days ago
Mode Estimation of Model-based Programs: Monitoring Systems with Complex Behavior
Deductive, mode-estimation has become an essential component of robotic space systems, like NASA's deep space probes. Future robots will serve as components of large robotic ...
Brian C. Williams, Seung Chung, Vineet Gupta
CORR
2010
Springer
122views Education» more  CORR 2010»
14 years 6 months ago
Concavity of Mutual Information Rate for Input-Restricted Finite-State Memoryless Channels at High SNR
We consider a finite-state memoryless channel with i.i.d. channel state and the input Markov process supported on a mixing finite-type constraint. We discuss the asymptotic behavio...
Guangyue Han, Brian H. Marcus
ICIP
2003
IEEE
16 years 27 days ago
Evaluation strategies for automatic linguistic indexing of pictures
With the rapid technological advances in machine learning and data mining, it is now possible to train computers with hundreds of semantic concepts for the purpose of annotating i...
James Ze Wang, Jia Li, Sui Ching Lin