The Hierarchical Hidden Markov Model: Analysis and Applications
Cited by (928)
Items 601–700 of 928
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- Learning a Machine for the Decision in a Partially Observable Markov UniverseF Dambreville · 2004 · arXiv (Cornell University)
- Stochastic models for document restructurationPatrick Gallinari, Guillaume Wisniewski, Ludovic Denoyer, Francis Maes, Lip Université, Pierre Marie, Curie Paris- France · 2005
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- Hierarchical Hidden Markov Model of High-Frequency Market Regimes using Trade Price and Limit Order Book InformationShaul Sergey Wisebourt · 2011 · UWSpace (University of Waterloo)
- Action recognition in depth videos using nonparametric probabilistic graphical modelsNatraj Raman · 2016 · Birkbeck Institutional Research Online (BiRO) - Theses
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- A Hidden Markov Model Based Intelligent Platform for Characterizing BehaviorsYang Li, Geoff Lei, Linh Bui, Chengwei Lei · 2022 · IEEE International Conference on Human-Machine Systems (ICHMS)
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- Recognition of Human Faces: From Biological to Artificial VisionMássimo Tistarelli, Linda Brodo, Andrea Lagorio, Manuele Bicego · 2007 · Springer eBooks
- Topology Estimation of Hierarchical Hidden Markov Models for Language ModelsKei Wakabayashi, Takao Miura · 2010 · Lecture notes in computer science
- Learning latent variable and predictive models of dynamical systemsGeoffrey J. Gordon, Sajid M. Siddiqi · 2009
- Clustering Facial Displays in Context2001
- Using hierarchical hidden Markov models to perform sequence-based classification of protein structureJian‐Yu Shi, Yan-Ning Zhang · 2010 · International Conference on Signal Processing
- Analysis of daily nursing care: a nursing care scheduling algorithmMingang Cheng, Hiromi Itoh Ozaku, Noriaki Kuwahara, Kiyoshi Kogure, Jun Ota · 2008 · IEEE RO-MAN
- A new model for generating burst traffic based on hierarchical HMMYi Xie, Shensheng Tang, Huang Xiang-nong · 2011 · International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)
- Globally Optimal Interactive Boundary Extraction Using Markov Chain ModelingChristina Pavlopoulou, A.C. Kak · 2006 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- Hierarchical Control Models for Multimodal Process ModelingWeidong Zhang, Feng Chen, Wenli Xu · 2009 · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
- Hierarchical Hidden Conditional Random Fields for Information ExtractionSatoshi Kaneko, Akira Hayashi, Nobuo Suematsu, Kazunori Iwata · 2011 · Lecture notes in computer science
- Robust acoustic and semantic modeling in a telephone-based spoken dialog systemKinfe Tadesse Mengistu · 2009 · Digitalen Hochschulbibliothek Sachsen-Anhalt (Universitäts- und Landesbibliothek Sachsen-Anhalt)
- Hierarchical temporal and spatial memory for gait pattern recognitionJianghao Shen, Murray H. Loew · 2016 · IEEE Applied Imagery Pattern Recognition Workshop
- FFT-Based Identification of Gilbert–Elliott Data Loss ModelsAndrás Palkó, László Sujbert · 2020 · IEEE Transactions on Instrumentation and Measurement
- Efficient algorithms for SNP genotype data analysis using hidden Markov models of haplotype diversityJustin Kennedy · 2009
- RECOGNIZING OVERLAPPED HUMAN ACTIVITIES FROM A SEQUENCE OF PRIMITIVE ACTIONS VIA DELETED INTERPOLATIONKris Kitani, Yoichi Sato, Akihiro Sugimoto · 2008 · International Journal of Pattern Recognition and Artificial Intelligence
- Utility-based plan recognitionDorit Avrahami-Zilberbrand, Gal A. Kaminka · 2007 · Adaptive Agents and Multi-Agents Systems
- Topological dynamic Bayesian networks: Application to human face identification across agesDjamel Bouchaffra · 2010 · 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
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- Multimodal Scene Understanding Framework and Its Application to Cooking RecognitionRyosuke Kojima, Osamu Sugiyama, Kazuhiro Nakadai · 2016 · Applied Artificial Intelligence
- Temporal and Hierarchical HMM for Activity Recognition Applied in Visual Medical Monitoring using a Multi-Camera SystemArnaud Ahouandjinou, Eugène Cokou Ezin, Cina Motamed · 2015 · Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées
- A Framework for Online Segmentation and Classification of Modeled Actions Performed in the Context of Unmodeled OnesDimitrios Kosmopoulos, Konstantinos E. Papoutsakis, Antonis Argyros · 2016 · IEEE Transactions on Circuits and Systems for Video Technology
- MCBF: Multimodal Corpora Building FrameworkMaria Chiara Caschera, Arianna D’Ulizia, Fernando Ferri, Patrizia Grifoni · 2016 · Lecture notes in computer science
- Human Motion ReconstructionKatsu Yamane, Wataru Takano · 2016 · Springer handbooks
- System self-awareness towards deep learning and discovering high-value informationYing Zhao, Charles Zhou · 2016 · IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)
- Using one-shot machine learning to implement real-time multimodal learning analyticsMichael J. Junokas, Greg Kohlburn, Sahil Kumar, Benjamin Lane, Wai‐Tat Fu, Robb Lindgren · 2017 · CEUR Workshop Proceedings
- Emergent Turing Machine as a General Purpose ApproximatorZejia Zheng, Xiang Wu, Juyang Weng · 2018 · International Joint Conference on Neural Networks (IJCNN)
- Automatically Detecting the Position and Type of Psychiatric Evaluation Report SectionsDeya M. Banisakher, Naphtali David Rishe, Mark Alan Finlayson · 2018 · International Workshop on Health Text Mining and Information Analysis (LOUHI)
- Enhancing the predictability and retrodictability of stochastic processesNathaniel Rupprecht, Dervis Can Vural · 2019 · Communications Physics
- Multiple Motion Fields for Multiple Types of AgentsCatarina Barata, Mário A. T. Figueiredo, Jorge Salvador Marques · 2019 · Proceedings - International Conference on Image Processing
- Multi Sensor Performance Driven Data Fusion for Sign Language SynthesisRuth Agada, Tunde Akinlaja, Jie Yan · 2018 · International Conference on Computational Science and Computational Intelligence (CSCI)
- Directed probabilistic graphical modelsQiang Ji · 2020 · Elsevier eBooks
- Efforts towards Combining Graphics, Uncertainty, and Semantics: A SurveyYuan Gao, Muhammad Rafi · 2019 · International Conference on Semantics, Knowledge and Grid (SKG)
- FFT-based Identification of Gilbert-Elliott Data Loss ModelsAndrás Palkó, László Sujbert · 2020 · IEEE International Instrumentation and Measurement Technology Conference
- Unraveling S&P500 stock volatility and networks – an encoding-and-decoding approachXiaodong Wang, Fushing Hsieh · 2022 · Quantitative Finance
- Hierarchical HMMs on Eyes for Driver Drowsiness DetectionWei Gong, Yihua Tan, Yuan Tai · 2020 · Chinese Automation Congress
- Musical rhythm transcription based on Bayesian piece-specific score models capturing repetitionsEita Nakamura, Kazuyoshi Yoshii · 2021 · Information Sciences
- Hybrid Japanese Language Teaching Aid System with Multi-Source Information Fusion MappingRui Zhang · 2022 · Mathematical Problems in Engineering · Retracted
- Comparison of Unigram, HMM, CRF and Brill's Part-of-Speech Taggers Available in NLTK LibraryMiroslav Potočár, Michal Kvet · 2023 · Conference of Open Innovations Association (FRUCT)
- Morphological Analysis Based Part-of-Speech Tagging for Uyghur Speech SynthesisGuljamal Mamateli, Askar Rozi, Gulnar Ali, Askar Hamdulla · 2011 · Advances in intelligent and soft computing
- Semi-Structured Document ClassificationLudovic Denoyer, Patrick Gallinari · 2005 · IGI Global eBooks
- Analysis and extension of hierarchical temporal memory for multivariable time seriesDavid Rozado · 2011 · Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya)
- Hierarchical Hidden Markov Models for User/Process Profile LearningUgo Galassi, Marco Botta, Attilio Giordana · 2007 · Fundamenta Informaticae
- Learning with Segment Boundaries for Hierarchical HMMs直人 後藤, Akira Hayashi, Nobuo Suematu · 2005 · Lecture notes in computer science
- Pseudo Multi Parallel Branch HMM for Speaker VerificationDonato Impedovo, Mario Refice · 2009 · Advances in intelligent and soft computing
- Probabilistic image modeling with dependency-tree hidden Markov modelsJoakim Jitén · 2006
- Sequence Segmentation via Clustering of SubsequencesDarío García-García, Emilio Parrado-Hernández, Fernando Díaz-de-María · 2009 · International Conference on Machine Learning and Applications
- Hierarchical Parallel Markov Models of InteractionRobert Zubek, Ian Douglas Horswill · 2005 · Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment
- Self-Similarity for Data Mining and Predictive Modeling A Case Study for Network DataJafar Adibi, Wei‐Min Shen, Eaman Noorbakhsh · 2002 · Lecture notes in computer science
- The benefits of using high-level goal information for robot navigationMaarten T. Bruna · 2011 · TU/e Research Portal
- Probabilistic graphical models for brain computer interfacesDelgado Saa, J Von Zuben Fernando · 2014 · Sabanci University
- Head motion synthesis: evaluation and a template motion approachDavid Adam Braude · 2016 · ERA
- Chord Recognition- Music and Audio Information RetrievalShah Riya Chiragkumar · 2021 · arXiv (Cornell University)
- Passenger Engagement Dynamics in Ride-Hailing Services: A Heterogeneous Hidden Markov ApproachXian Chen, Shuotian Bai, Yongqin Wei, Yanhui Zhao, Peng Yan, Hai Chang Jiang · 2022 · SSRN Electronic Journal
- Deep Decoding of StrategiesJean‐Jacques Ohana, Eric Benhamou, David Saltiel, Béatrice Guez · 2022 · SSRN Electronic Journal
- Modélisation spatio-temporelle à base de modèles de Markov cachés pour la prévision des changements en imagerie satellitaire : cas de la végétation et de l'urbainHoucine Essid · 2012 · theses.fr (ABES)
- Named Entity Recognition Method of Legal Instruments Based on Improved Few-Shot LearningQiang Liu, Jianbin Wang, Jinbo Fu, Jiong Liu, Bo Chen · 2024 · IEEE Access
- YOLO-LG: An enhanced gesture recognition model with multi-scale feature fusion and large kernel attention for cognitive impairment patientsBing Xiong, Qitong Ma, Yuhang Zhang, Qiaozhen Zhao, Wanling Hu, Lizao Chen, Wei Li, Conghuan Ye · 2025 · Biomedical Signal Processing and Control
- Improving Password Guessing With Isomorphism ModelingXudong Yang, Zhen Xiao, Xiaoyu Wu, Kaiwen Xing, He Tang, Tao Yang, Kaitai Liang, Hu Xiong · 2025 · IEEE Transactions on Information Forensics and Security
- Statistics for Animal Tracking DataVianey Leos Barajas, Ignacio Alvarez-Castro, Juan M. Morales · 2025 · Annual Review of Statistics and Its Application
- Dependability Model of Electric Power Systems for Assessing Smart City Energy SustainabilityDmitry A. Maevsky, Vyacheslav Serhiiovych Kharchenko, Nikolaos G. Bardis, Dmytro Stetsiuk, Elena J. Maevskaya, Вікторія Ігорівна Кривда · 2026 · Sustainability
- High Performance ECG Signal Analysis via Advanced ML TechniquesMd. Shahidul Islam, Muhibul Haque Chowdhury · 2026 · International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)
- Generative adaptable design enabled by predictive change propagationZhilin Sun, Dengzheng Chi, Kaifeng Wang, Lei Wang, Peihua Gu · 2026 · CIRP Annals
- Security inference from noisy dataJ. D. Tygar, Zhuang Li · 2008
- A Methodological Contribution to Music Sequences AnalysisDaniele Paolo Radicioni, Marco Botta · 2006 · Lecture notes in computer science
- Automatic analysis of composite activities in video sequences using Key Action Discovery and hierarchical graphical modelsIoannis Kaloskampis, Yulia Hicks, David Marshall · 2011 · IEEE International Conference on Computer Vision Workshops
- Joint modality fusion and temporal context exploitation for semantic video analysisGeorgios Th. Papadopoulos, Vasileios Mezaris, Ioannis Yiannis Kompatsiaris, Michael Gerassimos Strintzis · 2011 · EURASIP Journal on Advances in Signal Processing
- Draft: Deep Learning in Neural Networks: An OverviewLab Idsia · 2014
- Probabilistic Language Modeling with Hidden Stochastic AutomataMark W. Andrews · 2013 · eScholarship (California Digital Library)
- Graphical Models for Representation and Recognition of Human ActionsPradeep Natarajan, Ramakant Nevatia · 2010 · IGI Global eBooks
- An Effective and Efficient Approach for Supporting the Generation of Synthetic Memory Reference Traces via Hierarchical Hidden/Non-Hidden Markov ModelsAlfredo Cuzzocrea, Enzo Mumolo, Marwan Hassani · 2018 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
- MCMC for Hierarchical Semi-Markov Conditional Random fieldsTruyen Tran, Dinh Phung, Svetha Venkatesh, Hung Bui · 2009 · eSpace (Curtin University)
- Learning Frequent Episodes Based Hierarchical Hidden Markov Models in Sequence DataLi Wan · 2011 · Communications in computer and information science
- Optimizing Sustainability in Products and ServicesMaurizio Bevilacqua, Filippo Emanuele Ciarapica, Giancarlo Giacchetta · 2012 · Springer eBooks
- Narrative Structure Analysis of Lecture Video with Hierarchical Hidden Markov Model for E-LearningYuchi Liu, Xidao Luan, Yuxiang Xie, Duan-Hui Dai, Lingda Wu · 2006 · Lecture notes in computer science
- Bi-dimension decomposed hidden Markov models for multi-person activity recognitionWeidong Zhang, Feng Chen, Wenli Xu · 2009 · Journal of Zhejiang University. Science A
- Using qualia and novel representations in malware detectionBobby D. Birrer, Richard A. Raines, Rusty O. Baldwin, Mark E. Oxley, Steven K. Rogers · 2009 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
- Trading expressivity for efficiency in statistical relational learningNiels Landwehr · 2010 · ACM SIGKDD Explorations Newsletter
- A Pyramidal Layered HMM for Multiview Human Behavior Recognition in Asynchronous Video StreamsAmir FaridAminianModarres, Mohsen Soryani · 2014 · International Journal of Computer Applications
- Recognizing People's Faces: from Human to Machine VisionMássimo Tistarelli, Manuele Bicego, Enrico Grosso · 2006 · International Conference on Control, Automation, Robotics and Vision (ICARCV)