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2018, London Mathematical Society lecture note series, ISBN 9781108441988, Volume 445
Web Resource
2018, London Mathematical Society lecture note series, ISBN 9781108441988, Volume 445
Web Resource
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 02/2017, Volume 39, Issue 2, p. 529
Journal Article
AIP Conference Proceedings, ISSN 0094-243X, 07/2019, Volume 2116, Issue 1
Journal Article
AIP Conference Proceedings, ISSN 0094-243X, 07/2018, Volume 1978, Issue 1
Journal Article
2012 IEEE Conference on Computer Vision and Pattern Recognition, ISSN 1063-6919, 06/2012, pp. 1290 - 1297
Human action recognition is an important yet challenging task. The recently developed commodity depth sensors open up new possibilities of dealing with this... 
Noise | Humans | Hidden Markov models | Cameras | Feature extraction | Robustness | Joints
Conference Proceeding
Methodology and Computing in Applied Probability, ISSN 1387-5841, 03/2019, pp. 1 - 12
In this paper, we consider a stochastic food-limited mutualism model with periodic coefficients. Using Has’minskii theory of periodic Markov processes,... 
Mutualism | Markov models | Food
Journal Article
2013, AFSC processed report, Volume 2013-04., v, 34
Hidden Markov models (HMM) provide a simple, elegant and general structure for development of existing and new models for capture-recapture analysis. These... 
models | Hidden Markov models | capture-recapture models | analysis | Cormack-Jolly-Seber model
Book
Advances in Decision Sciences, ISSN 2090-3359, 06/2019, Volume 23, Issue 2, pp. 1 - 27
In this paper, we use a discrete time Phase-type process to model the health care cost of an insurance contract by considering all possible critical health... 
Health | Markov models
Journal Article
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 06/2016, Volume 2016-, pp. 2285 - 2294
While deep convolutional neural networks (CNNs) have shown a great success in single-label image classification, it is important to note that real world images... 
Recurrent neural networks | Computational modeling | Neurons | Semantics | Redundancy | Hidden Markov models | Logic gates
Conference Proceeding
Methodology and Computing in Applied Probability, ISSN 1387-5841, 04/2019, pp. 1 - 21
This paper proposes a block-structured Markov process to describe the spread of epidemics of Susceptible-Infected-Removed (SIR) type. Our purpose is to... 
Epidemics | Markov models | Markov analysis
Journal Article
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 06/2016, Volume 2016-, pp. 1401 - 1409
Correlation Filter-based trackers have recently achieved excellent performance, showing great robustness to challenging situations exhibiting motion blur and... 
Histograms | Correlation | Target tracking | Image color analysis | Hidden Markov models | Filtering algorithms | Robustness
Conference Proceeding
2014, Princeton series in applied mathematics, ISBN 0691133158, xiv, 287
This book explores important aspects of Markov and hidden Markov processes and the applications of these ideas to various problems in computational biology.... 
Markov processes | Computational biology | Science: General Issues | Life Sciences | PBT | PBW | PBWH | Probability & Statistics | Science | General | Study & Teaching | Mathematics | Biology | Applied | Biological Sciences | Statistics
Book
The Journal of Chemical Physics, ISSN 0021-9606, 05/2019, Volume 150, Issue 18, pp. 184304 - 184304
Dynamics and coherences in retinal isomerization are investigated in a standard two-mode two-state model irradiated by natural incoherent light using the... 
Markov models | Ohmic | Steady state models | Steady state | Isomerization | Coherence
Journal Article
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, 04/2015, Volume 2015-, pp. 4580 - 4584
Both Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) have shown improvements over Deep Neural Networks (DNNs) across a wide variety of... 
Training | Context | Neural networks | Hidden Markov models | Speech recognition | Speech | Noise measurement | Tasks | Conferences | Architecture | Temporal logic | Frequency variation
Conference Proceeding
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