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SIAMIS
2008
279views more  SIAMIS 2008»
13 years 7 months ago
A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
We propose, analyze and test an alternating minimization algorithm for recovering images from blurry and noisy observations with total variation (TV) regularization. This algorith...
Yilun Wang, Junfeng Yang, Wotao Yin, Yin Zhang
TROB
2008
105views more  TROB 2008»
13 years 7 months ago
Robot-to-Robot Relative Pose Estimation From Range Measurements
In this paper, we address the problem of determining the 2D relative pose of pairs of communicating robots from (i) robot-to-robot distance measurements and (ii) displacement estim...
Xun S. Zhou, Stergios I. Roumeliotis
CSL
2000
Springer
13 years 7 months ago
Efficient speech recognition using subvector quantization and discrete-mixture HMMS
This paper introduces a new form of observation distributions for hidden Markov models (HMMs), combining subvector quantization and mixtures of discrete distrib utions. Despite w...
Vassilios Digalakis, S. Tsakalidis, Costas Harizak...
AI
2008
Springer
13 years 6 months ago
MEBN: A language for first-order Bayesian knowledge bases
Although classical first-order logic is the de facto standard logical foundation for artificial intelligence, the lack of a built-in, semantically grounded capability for reasonin...
Kathryn B. Laskey
JDCTA
2010
126views more  JDCTA 2010»
13 years 2 months ago
Continuous Neural Decoding Method Based on General Regression Neural Network
Neural decoding is an important task for understanding how the biological nervous system performs computation and communication. This paper introduces a novel continuous neural de...
Jianhua Dai, Xiaochun Liu, Shaomin Zhang, Huaijian...