The Hierarchical Hidden Markov Model: Analysis and Applications

Fine, Shai, Singer, Yoram, Tishby, Naftali·1998·Machine Learning

Cited by (928)

Items 401–500 of 928

  1. Caring Analytics for Adults With Special Needs
    Marilyn Wolf, Mihaela van der Schaar, Honggab Kim, Jie Xu · 2015 · IEEE Design and Test
  2. A Unified Model for Human Behavior Modeling Using a Hierarchy with a Variable Number of States
    Hande Ozgur Alemdar, Tim L. M. van Kasteren, Maria E. Niessen, Andreas Merentitis, Cem Ersoy · 2014 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
  3. Adaptive Segmentation and Sequence Learning of human activities from skeleton data
    David Ada Adama, Ahmad Lotfi, Robert M. Ranson · 2020 · Expert Systems with Applications
  4. Hmm-based semantic learning for a mobile robot
    Stephen E. Levinson, Kevin M. Squire · 2004
  5. Pictorial Structures Model based human interaction recognition
    Shi-Zhong Zhan, I‐Cheng Chang · 2014 · International Conference on Machine Learning and Cybernetics
  6. Approach to Human Activity Multi-scale Analysis and Recognition Based on Multi-layer Dynamic Bayesian Network
    Youtian Du, Feng Chen, Wenli Xu · 2009 · Acta Automatica Sinica
  7. A framework for automatic sports video annotation with anomaly detection and transfer learning
    Ted Campos, Aftab Khan, Fei Yan, N Faraji Davar, David Windridge, Josef Kittler, William J. Christmas · 2013 · Surrey Research Insight Open Access (The University of Surrey)
  8. Efficient training methods for conditional random fields
    Andrew Kachites McCallum, Charles A. Sutton · 2008
  9. An asynchronous Dynamic Bayesian Network for activity recognition in an Ambient Intelligent environment
    Nasim Mirarmandehi, Hamid Reza Rabiee · 2010 · International Conference on Pervasive Computing and Applications (ICPCA)
  10. Hierarchical Modeling and Recognition of Manipulative Gesture
    Zhe Li, Nils Hofemann, Jannik Fritsch, Gerhard Sagerer · 2005
  11. Histogram mining based on Markov chain and its application to image categorization
    Fei Li, Qionghai Dai, Wenli Xu, Guihua Er · 2007 · Signal Processing Image Communication
  12. A clustering approach to semantic decoding
    Hui Ye, S.J. Young · 2006 · Interspeech (USB)
  13. Automated Semantic Analysis of Schematic Data
    Saikat Mukherjee, I. V. Ramakrishnan · 2008 · World Wide Web
  14. Incremental construction of structured hidden Markov models
    Ugo Galassi, Attilio Giordana, Lorenza Saitta · 2007 · International Joint Conference on Artificial Intelligence
  15. Learning complex and sparse events in long sequences
    Marco Botta, Ugo Galassi, Attilio Giordana · 2004
  16. Online Bayesian Learning in Probabilistic Graphical Models using Moment Matching with Applications
    Farheen Omar · 2018 · UWSpace (University of Waterloo)
  17. A Study on a HMM-Based State Machine Approach for Lane Changing Behavior Recognition
    Ruth David, Dirk Söffker · 2022 · IEEE Access
  18. A Rigid–Flexible Supernumerary Robotic Arm/Leg: Design, Modeling, and Control
    Jiajun Xu, Mengcheng Zhao, Tianyi Zhang, Aihong Ji · 2024 · Electronics
  19. Language for learning complex human-object interactions
    Mitesh Patel, Carl Henrik Ek, Nikolaos Kyriazis, Antonis Argyros, Jaime Valls Miró, Danica Kragić · 2013 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  20. Easing the Smart Home: A rule-based language and multi-agent structure for end user development in Intelligent Environments
    Manuel García–Herranz, Xavier Alamán, Pablo Alfonso Haya · 2010 · Journal of Ambient Intelligence and Smart Environments
  21. Learning User Profile from Traces
    Ugo Galassi, Attilio Giordana, Dino Mendola · 2006 · Symposium on Applications and the Internet Workshops (SAINT Workshops)
  22. Learning Pullback HMM Distances
    Fabio Cuzzolin A, Michael Sapienza · 2013 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  23. Amazigh speech recognition based on the Kaldi ASR toolkit
    Fatima Barkani, Mohamed Hamidi, Naouar Laaidi, Ouissam Zealouk, Hassan Satori, Khalid Satori · 2023 · International Journal of Information Technology
  24. Estimating the Parameters of Randomly Interleaved Markov Models
    Daniel Gillblad, Rebecca Steinert, Diogo R. Ferreira · 2009 · IEEE ... International Conference on Data Mining workshops
  25. Marginalized Viterbi algorithm for hierarchical hidden Markov models
    Akira Hayashi, Kazunori Iwata, Nobuo Suematsu · 2013 · Pattern Recognition
  26. A Nonparametric Bayesian Approach for Spoken Term Detection by Example Query
    Amir Hossein Harati Nejad Torbati, Joseph Picone · 2016 · Interspeech (USB)
  27. A Decentralized Partially Observable Markov Decision Model with Action Duration for Goal Recognition in Real Time Strategy Games
    Peng Jiao, Kai Xu, Shiguang Yue, Xiangyu Wei, Lin Sun · 2017 · Discrete Dynamics in Nature and Society
  28. Hidden Markov Model with Duration Side Information for Novel HMMD Derivation, with Application to Eukaryotic Gene Finding
    Stephen N. Winters-Hilt, Z. Jiang, Carl Baribault · 2010 · EURASIP Journal on Advances in Signal Processing
  29. A Hidden Markov Model With Binned Duration Algorithm
    Stephen N. Winters-Hilt, Zuliang Jiang · 2009 · IEEE Transactions on Signal Processing
  30. Modelling context in automatic speech recognition
    Pascal Wiggers · 2008 · Research Repository (Delft University of Technology)
  31. Sketch interpretation using multiscale stochastic models of temporal patterns
    Randall Davis, Tevfik Metin Sezgin · 2006 · DSpace@MIT (Massachusetts Institute of Technology)
  32. The Segmented iHMM: A Simple, Efficient Hierarchical Infinite HMM
    Ardavan Saeedi, Matthew D. Hoffman, Johnson, Matthew, Ryan Prescott Adams · 2016 · arXiv (Cornell University)
  33. Detecting Actions by Integrating Sequential Symbolic and Sub-symbolic Information in Human Activity Recognition
    Michael Glodek, Friedhelm Schwenker, Günther Palm · 2012 · Lecture notes in computer science
  34. Discovery of Activity Structures using the Hierarchical Hidden Markov Model
    Nguyet Nguyen, Svetha Venkatesh · 2005 · British Machine Vision Conference (BMVC)
  35. AI for Real-Time Bus Travel Time Prediction in Traffic Congestion Management
    Yuming Ou · 2021 · Springer eBooks
  36. Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models
    Kei Wakabayashi, Takao Miura · 2012 · neural information processing systems
  37. A temporal belief-based hidden markov model for human action recognition in medical videos
    Arnaud Ahouandjinou, Cina Motamed, Eugène Cokou Ezin · 2015 · Pattern Recognition and Image Analysis
  38. Probabilistic Failure Isolation for Cognitive Robots
    Doğan Altan, Sanem Sarıel · 2014
  39. Towards detection of suspicious behavior from multiple observations
    Boštjan Kaluža, Gal A. Kaminka, Milind Tambe · 2011 · National Conference on Artificial Intelligence
  40. A Stochastic Temporal Model of Polyphonic MIDI Performance with Ornaments
    Eita Nakamura, Nobutaka Ono, Shigeki Sagayama, Kenji Watanabe · 2015 · Journal of New Music Research
  41. Feature selection for unsupervised discovery of statistical temporal structures in video
    Lexing Xie, Shih‐Fu Chang, Ajay Divakaran, Hao Sun · 2004 · Proceedings - International Conference on Image Processing
  42. HMM-Based Concept Learning for a Mobile Robot
    Kevin M. Squire, Stephen E. Levinson · 2007 · IEEE Transactions on Evolutionary Computation
  43. An Incrementally Trainable Statistical Approach to Information Extraction
    Christian Siefkes · 2008
  44. Leveraging Hidden Dialogue State to Select Tutorial Moves
    Kristy Elizabeth Boyer, Rob Phillips, Eun Young Ha, Michael D. Wallis, Mladen Alan Vouk, James C. Lester · 2010 · Workshop on Innovative Use of NLP for Building Educational Applications
  45. Combining dependent evidential bodies that share common knowledge
    Takéhiko Nakama, Enrique H. Ruspini · 2014 · International Journal of Approximate Reasoning
  46. Classical Music Composition Using State Space Models
    Anna K. Yanchenko, Sayan Mukherjee · 2017 · arXiv (Cornell University)
  47. A Stochastic Temporal Model of Polyphonic MIDI Performance with Ornaments
    Eita Nakamura, Nobutaka Ono, Shigeki Sagayama, Kenji Watanabe · 2016
  48. Modeling comorbidity of chronic diseases using coupled hidden Markov model with bivariate discrete copula
    Zarina Oflaz, Ceylan Yozgatlıgil, Sevtap Kestel · 2023 · Statistical Methods in Medical Research
  49. Speech recognition by indexing and sequencing
    Simone Franzini, Jezekiel Ben-Arie · 2010 · International Conference of Soft Computing and Pattern Recognition (SoCPaR)
  50. Selective Prediction of Financial Trends with Hidden Markov Models
    Dmitry Pidan, Ran El‐Yaniv · 2011
  51. Rhythm transcription of MIDI performances based on hierarchical Bayesian modelling of repetition and modification of musical note patterns
    Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii · 2016 · European Signal Processing Conference (EUSIPCO)
  52. Hierarchical semi-Markov conditional random fields for deep recursive sequential data
    Truyen Tran, Dinh Phung, Hung Bui, Svetha Venkatesh · 2017 · Artificial Intelligence
  53. Reading Type Classification based on Generative Models and Bidirectional Long Short-Term Memory.
    Seyyed Saleh Mozaffari Chanijani, Federico Raue, Saeid Hassanzadeh, Stefan Agne, Syed Saqib Bukhari, Andreas Dengel · 2018 · IUI Workshops
  54. ToyArchitecture: Unsupervised learning of interpretable models of the environment
    Jaroslav Vítků, Petr Dluhoš, Joseph Davidson, Matěj Nikl, Simon Andersson, Přemysl Paška, Jan Šinkora, Petr Hlubuček, Martin Stránský, Martin Hyben et al. · 2020 · PLoS ONE
  55. Passenger engagement dynamics in ride-hailing services: A heterogeneous hidden Markov approach
    Xian Chen, Shuotian Bai, Yongqin Wei, Yanhui Zhao, Peng Yan, Hai Jiang · 2023 · Transportation Research Part E Logistics and Transportation Review
  56. Evaluating Workflow Trust Using Hidden Markov Modeling and Provenance Data
    Mahsa Naseri, Simone A. Ludwig · 2012 · Studies in computational intelligence
  57. A relational hierarchical model for decision-theoretic assistance
    Sriraam Natarajan, Prasad V. Tadepalli, Alan Fern · 2011 · Knowledge and Information Systems
  58. Analysing human feelings by Affective Computing - survey
    Taranpreet Singh Saini, Mangesh V. Bedekar, Saniya Zahoor · 2016 · International Conference on Computing Communication Control and automation
  59. Activity recognition using logical hidden semi-Markov models
    Yabing Zha, Shiguang Yue, Quanjun Yin, Xiaocheng Liu · 2013 · International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)
  60. Measuring Dynamical Uncertainty With Revealed Dynamics Markov Models
    Aaron Bramson, Adrien Baland, Atsushi Iriki · 2019 · Frontiers in Applied Mathematics and Statistics
  61. Video sequence modeling by dynamic Bayesian networks: a systematic approach from coarse-to-fine grains
    Ying Luo, Jenq–Neng Hwang · 2004 · Proceedings - International Conference on Image Processing
  62. A New Approach to Probabilistic Image Modeling with Multidimensional Hidden Markov Models
    Bernard Mérialdo, Joakim Jitén, Eric Galmar, Benoît Huet · 2007 · Springer eBooks
  63. Tagging Complex NEs with MaxEnt Models: Layered Structures Versus Extended Tagset
    Deyi Xiong, Hongkui Yu, Qun Liu · 2005 · Lecture notes in computer science
  64. A preliminary look into the use of named entity information for bioscience text tokenization
    Robert Arens · 2004
  65. Synthesising Generative Probabilistic Models for High-Level Activity Recognition
    Christoph Burghardt, Maik Wurdel, Sebastian Bader, Gernot Ruscher, Thomas Kirste · 2011 · Atlantis ambient and pervasive intelligence
  66. Non-coding small (micro) RNAs of Pseudomonas aeruginosa isolated from clinical isolates from adult patients with cystic fibrosis
    J. R. Rao, D Nelson, John Edmund Moore, Beverley Cherie Millar, Colin E. Goldsmith, Jacqueline C Rendall, J.S. Elborn · 2010 · British Journal of Biomedical Science
  67. Thoughts on a Recursive Classifier Graph: a Multiclass Network for Deep Object Recognition
    Marius Leordeanu, Rahul Sukthankar · 2014 · arXiv (Cornell University)
  68. Spatial and Temporal Abstractions in POMDPs Applied to Robot Navigation
    Georgios Theocharous, Sridhar Mahadevan, Leslie Pack Kaelbling · 2005 · Defense Technical Information Center (DTIC)
  69. Location-Aware Multi-agent Based Intelligent Services in Home Networks
    Minsoo Lee, Yong Deok Kim, Yoonsik Uhm, Zion Hwang, Gwanyeon Kim, Sehyun Park, Oh-Young Song · 2006 · Lecture notes in computer science
  70. Clustering contextual facial display sequences
    Jesse Hoey · 2003 · International Conference on Automatic Face and Gesture Recognition
  71. Modeling Dynamical Systems with Structured Predictive State Representations.
    Britton Wolfe · 2009 · Deep Blue (University of Michigan)
  72. Topological Dynamic Bayesian Networks
    Djamel Bouchaffra · 2010 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
  73. Predicting trend in the next-day market by Hierarchical Hidden Markov Model
    Luigi Troiano, Pravesh Kriplani · 2010 · International Conference on Computer Information Systems and Industrial Management Applications (CISIM)
  74. An intrusion detection method based on hierarchical hidden Markov models
    Chunfu Jia, Feng Yang · 2007 · Wuhan University Journal of Natural Sciences
  75. Dynamic Alignment Models for Neural Coding
    Sepp Kollmorgen, Richard H. R. Hahnloser · 2014 · PLoS Computational Biology
  76. An Energy-Aware On-Demand Clustering Routing Algorithm for Ad Hoc Networks
    Weiren Shi, Chao Huang, Jiuyin Yuan · 2007 · International Conference on Computer Sciences and Convergence Information Technology
  77. Automatic annotation of gestural units in spontaneous face-to-face interaction
    Simon Alexanderson, David House, Jonas Beskow · 2016
  78. Modeling and Prediction of Human Behaviors based on Driving Data using Multi-Layer HMMs
    Qi Deng, Dirk Söffker · 2019 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
  79. Big data processing and analysis on the impact of COVID-19 on public transport delay
    Yuming Ou, Adriana‐Simona Mihăiţă, Fang Chen · 2022 · Elsevier eBooks
  80. Popular Tag Recommendation by Neural Network in Social Media
    Mohammad Jafari Sadr, Seyedeh Leili Mirtaheri, Sergio Greco, Keivan Borna · 2023 · Computational Intelligence and Neuroscience
  81. Improving activity recognition by segmental pattern mining
    Umut Avcı, Andrea Passerini · 2012 · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
  82. Learning hierarchical non-parametric hidden Markov model of human motion
    Yi Wang, Zhiqiang Liu, Lizhu Zhou · 2005 · International Conference on Machine Learning and Cybernetics
  83. A language-based approach to indexing heterogeneous multimedia lifelog
    Peng-Wen Cheng, Snehal Kumar Chennuru, Senaka Buthpitiya, Ying Zhang · 2010 · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
  84. Embedding HMMs-based models in a Euclidean space: the topological hidden Markov models
    Djamel Bouchaffra · 2010 · Pattern Recognition
  85. Analysis of complex neural circuits with nonlinear multidimensional hidden state models
    Alexander Friedman, Alanna F. Slocum, Danil Tyulmankov, Leif Gibb, Alex Altshuler, Suthee Ruangwises, Qinru Shi, Sebastian E. Toro Arana, Dirk W. Beck, Jacquelyn E. C. Sholes et al. · 2016 · Proceedings of the National Academy of Sciences
  86. Technique for Early Reliability Prediction of Software Components Using Behaviour Models
    Awad Ali, Dayang N. A. Jawawi, Mohd Adham Isa, Muhammad Imran Babar · 2016 · PLoS ONE
  87. Generalized Viterbi-based models for time-series segmentation and clustering applied to speaker diarization
    Itshak Lapidot, Alon Shoa, Tal Furmanov, Lidiya Aminov, Ami Moyal, Jean-François Bonastre · 2017 · Computer Speech & Language
  88. Comparison of algorithms to divide noisy phone sequences into syllables for automatic unconstrained English speaking proficiency scoring
    David O. Johnson, Okim Kang · 2017 · Artificial Intelligence Review
  89. A Review of Vision Based Dynamic Hand Gestures Recognition
    洁 沙 · 2020 · Computer Science and Application
  90. Factored State-Abstract Hidden Markov Models for Activity Recognition Using Pervasive Multi-modal Sensors
    Dinh Tuan Tran, Dinh Phung, Hung Bui, Svetha Venkatesh · 2005 · International Conference on Intelligent Sensors, Sensor Networks and Information Processing
  91. Taming the Unstructured: Creating Structured Content from Partially Labeled Schematic Text Sequences
    Saikat Mukherjee, I. V. Ramakrishnan · 2004 · Lecture notes in computer science
  92. A probabilistic approach to learn activities of daily living of a mobility aid device user
    Mitesh Patel, Jaime Valls Miró, Gamini Dissanayake · 2014 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  93. Features in Concert: Discriminative Feature Selection meets Unsupervised Clustering
    Marius Leordeanu, Alexandra Radu, Rahul Sukthankar · 2014 · arXiv (Cornell University)
  94. Multi-Rate and Variable-Rate Modeling of Speech At Phone and Syllable Time Scales
    Özgür Çetin, Mari Ostendorf E · 2006 · IEEE International Conference on Acoustics Speech and Signal Processing
  95. Apprentissage et inférence statistique dans les bases de documents structurés : application aux corpus de documents textuels
    Ludovic Denoyer · 2004
  96. Decoding the stock market dynamics in the banking sector: Short versus long-term insights
    Barbara Čeryová, Peter Árendáš · 2024 · The North American Journal of Economics and Finance
  97. A structure-based disentangled network with contrastive regularization for sign language recognition
    Liqing Gao, Lei Zhu, Lianyu Hu, Peng Shi, Liang Wan, Wei Feng · 2025 · Expert Systems with Applications
  98. Multi-views Emotional Knowledge Extraction for Emotion Recognition in Conversation
    Zhongquan Jian, Daihang Wu, Shaopan Wang, Jiezhou He, Junfeng Yao, Kunhong Liu, Qingqiang Wu · 2025 · Knowledge-Based Systems
  99. Structured Hidden Markov Model: A General Framework for Modeling Complex Sequences
    Ugo Galassi, Attilio Giordana, Lorenza Saitta · 2007 · Lecture notes in computer science
  100. Advanced Markovian wind energy models for smart grid applications
    Barry Patrick Hayes, Sasa Djokic · 2013 · IEEE PES Innovative Smart Grid Technologies Europe