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Layered hidden Markov model
The layered hidden Markov model (LHMM) is a statistical model derived from the hidden Markov model (HMM). A layered hidden Markov model (LHMM…
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Hidden Markov model
Hierarchical hidden Markov model
Overfitting
Statistical model
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Modeling Individual's Movement Patterns to Infer Next Location from Sparse Trajectory Traces
S. Ghosh
,
Shreya Ghosh
IEEE International Conference on Systems, Man and…
2018
Corpus ID: 58669647
Human mobility prediction is a challenging and crucial task for fostering wide spectrum of location based applications, namely…
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2017
2017
A layered HMM for predicting motion of a leader in multi-robot settings
Sina Solaimanpour
,
Prashant Doshi
IEEE International Conference on Robotics and…
2017
Corpus ID: 147667
We focus on a mobile robot that must learn another robot's motion model from observations to track it in a given map. This…
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2016
2016
Layered hidden Markov models to recognize activity with built-in sensors on Android smartphone
Youngseol Lee
,
Sung-Bae Cho
Pattern Analysis and Applications
2016
Corpus ID: 254115760
Recently, activity recognition using built-in sensors in a mobile phone becomes an important issue. It can help us to provide…
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2015
2015
Multiple-Ancestor Localization for Recently Admixed Individuals
Yaron Margalit
,
Yael Baran
,
E. Halperin
Workshop on Algorithms in Bioinformatics
2015
Corpus ID: 998633
Inference of ancestry from genetic data is a fundamental problem in computational genetics, with wide applications in human…
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2014
2014
Enhancement of Layered Hidden Markov Model by brain-inspired feedback mechanism
Sang Hyoung Lee
,
Min Gu Kim
,
I. Suh
IEEE/RSJ International Conference on Intelligent…
2014
Corpus ID: 15299193
A Layered Hidden Markov Model (LHMM) has been usually used for recognizing various human activities. In such a LHMM, the…
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2013
2013
Application of a Layered Hidden Markov Model in the Detection of Network Attacks
Lawrence Taub
2013
Corpus ID: 107699986
Network-based attacks against computer systems are a common and increasing problem. Attackers continue to increase the…
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2011
2011
Real-time Detection for Gathering Events Using Layered Hidden Markov Model Entropy
Liu Li-qun
2011
Corpus ID: 63274834
This paper proposes a Layered Hidden Markov Model(LHMM) and entropy method to detect a gathering event in real-time.It uses…
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2007
2007
Intention Recognition in Human Machine Collaborative Systems
D. Aarno
2007
Corpus ID: 110876556
Robotsystem har anvants flitigt under de senaste artiondena for att skapa automationslosningar i ett flertal omraden. De flesta…
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Review
2003
Review
2003
Selective perception policies for guiding sensing and computation in multimodal systems: a comparative analysis
Nuria Oliver
,
E. Horvitz
International Conference on Multimodal…
2003
Corpus ID: 248129
Intensive computations required for sensing and processing perceptual information can impose significant burdens on personal…
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2002
2002
Self-similarity for data mining and predictive modeling: a case study for network data
Jafar Adibi
,
Wei-Min Shen
,
E. Noorbakhsh
SPIE Defense + Commercial Sensing
2002
Corpus ID: 18181377
Recently there are a handful study and research on observing self-similarity and fractals in natural structures and scientific…
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