The Hierarchical Hidden Markov Model: Analysis and Applications
Cited by (928)
Items 401–500 of 928
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- Automated Semantic Analysis of Schematic DataSaikat Mukherjee, I. V. Ramakrishnan · 2008 · World Wide Web
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- Estimating the Parameters of Randomly Interleaved Markov ModelsDaniel Gillblad, Rebecca Steinert, Diogo R. Ferreira · 2009 · IEEE ... International Conference on Data Mining workshops
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- A Nonparametric Bayesian Approach for Spoken Term Detection by Example QueryAmir Hossein Harati Nejad Torbati, Joseph Picone · 2016 · Interspeech (USB)
- A Decentralized Partially Observable Markov Decision Model with Action Duration for Goal Recognition in Real Time Strategy GamesPeng Jiao, Kai Xu, Shiguang Yue, Xiangyu Wei, Lin Sun · 2017 · Discrete Dynamics in Nature and Society
- Hidden Markov Model with Duration Side Information for Novel HMMD Derivation, with Application to Eukaryotic Gene FindingStephen N. Winters-Hilt, Z. Jiang, Carl Baribault · 2010 · EURASIP Journal on Advances in Signal Processing
- A Hidden Markov Model With Binned Duration AlgorithmStephen N. Winters-Hilt, Zuliang Jiang · 2009 · IEEE Transactions on Signal Processing
- Modelling context in automatic speech recognitionPascal Wiggers · 2008 · Research Repository (Delft University of Technology)
- Sketch interpretation using multiscale stochastic models of temporal patternsRandall Davis, Tevfik Metin Sezgin · 2006 · DSpace@MIT (Massachusetts Institute of Technology)
- The Segmented iHMM: A Simple, Efficient Hierarchical Infinite HMMArdavan Saeedi, Matthew D. Hoffman, Johnson, Matthew, Ryan Prescott Adams · 2016 · arXiv (Cornell University)
- Detecting Actions by Integrating Sequential Symbolic and Sub-symbolic Information in Human Activity RecognitionMichael Glodek, Friedhelm Schwenker, Günther Palm · 2012 · Lecture notes in computer science
- Discovery of Activity Structures using the Hierarchical Hidden Markov ModelNguyet Nguyen, Svetha Venkatesh · 2005 · British Machine Vision Conference (BMVC)
- AI for Real-Time Bus Travel Time Prediction in Traffic Congestion ManagementYuming Ou · 2021 · Springer eBooks
- Forward-Backward Activation Algorithm for Hierarchical Hidden Markov ModelsKei Wakabayashi, Takao Miura · 2012 · neural information processing systems
- A temporal belief-based hidden markov model for human action recognition in medical videosArnaud Ahouandjinou, Cina Motamed, Eugène Cokou Ezin · 2015 · Pattern Recognition and Image Analysis
- Probabilistic Failure Isolation for Cognitive RobotsDoğan Altan, Sanem Sarıel · 2014
- Towards detection of suspicious behavior from multiple observationsBoštjan Kaluža, Gal A. Kaminka, Milind Tambe · 2011 · National Conference on Artificial Intelligence
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- Feature selection for unsupervised discovery of statistical temporal structures in videoLexing Xie, Shih‐Fu Chang, Ajay Divakaran, Hao Sun · 2004 · Proceedings - International Conference on Image Processing
- HMM-Based Concept Learning for a Mobile RobotKevin M. Squire, Stephen E. Levinson · 2007 · IEEE Transactions on Evolutionary Computation
- An Incrementally Trainable Statistical Approach to Information ExtractionChristian Siefkes · 2008
- Leveraging Hidden Dialogue State to Select Tutorial MovesKristy 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
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- A Stochastic Temporal Model of Polyphonic MIDI Performance with OrnamentsEita Nakamura, Nobutaka Ono, Shigeki Sagayama, Kenji Watanabe · 2016
- Modeling comorbidity of chronic diseases using coupled hidden Markov model with bivariate discrete copulaZarina Oflaz, Ceylan Yozgatlıgil, Sevtap Kestel · 2023 · Statistical Methods in Medical Research
- Speech recognition by indexing and sequencingSimone Franzini, Jezekiel Ben-Arie · 2010 · International Conference of Soft Computing and Pattern Recognition (SoCPaR)
- Selective Prediction of Financial Trends with Hidden Markov ModelsDmitry Pidan, Ran El‐Yaniv · 2011
- Rhythm transcription of MIDI performances based on hierarchical Bayesian modelling of repetition and modification of musical note patternsEita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii · 2016 · European Signal Processing Conference (EUSIPCO)
- Hierarchical semi-Markov conditional random fields for deep recursive sequential dataTruyen Tran, Dinh Phung, Hung Bui, Svetha Venkatesh · 2017 · Artificial Intelligence
- 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
- ToyArchitecture: Unsupervised learning of interpretable models of the environmentJaroslav Vítků, Petr Dluhoš, Joseph Davidson, Matěj Nikl, Simon Andersson, Přemysl Paška, Jan Šinkora, Petr Hlubuček, Martin Stránský, Martin Hyben et al. · 2020 · PLoS ONE
- Passenger engagement dynamics in ride-hailing services: A heterogeneous hidden Markov approachXian Chen, Shuotian Bai, Yongqin Wei, Yanhui Zhao, Peng Yan, Hai Jiang · 2023 · Transportation Research Part E Logistics and Transportation Review
- Evaluating Workflow Trust Using Hidden Markov Modeling and Provenance DataMahsa Naseri, Simone A. Ludwig · 2012 · Studies in computational intelligence
- A relational hierarchical model for decision-theoretic assistanceSriraam Natarajan, Prasad V. Tadepalli, Alan Fern · 2011 · Knowledge and Information Systems
- Analysing human feelings by Affective Computing - surveyTaranpreet Singh Saini, Mangesh V. Bedekar, Saniya Zahoor · 2016 · International Conference on Computing Communication Control and automation
- Activity recognition using logical hidden semi-Markov modelsYabing Zha, Shiguang Yue, Quanjun Yin, Xiaocheng Liu · 2013 · International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)
- Measuring Dynamical Uncertainty With Revealed Dynamics Markov ModelsAaron Bramson, Adrien Baland, Atsushi Iriki · 2019 · Frontiers in Applied Mathematics and Statistics
- Video sequence modeling by dynamic Bayesian networks: a systematic approach from coarse-to-fine grainsYing Luo, Jenq–Neng Hwang · 2004 · Proceedings - International Conference on Image Processing
- A New Approach to Probabilistic Image Modeling with Multidimensional Hidden Markov ModelsBernard Mérialdo, Joakim Jitén, Eric Galmar, Benoît Huet · 2007 · Springer eBooks
- Tagging Complex NEs with MaxEnt Models: Layered Structures Versus Extended TagsetDeyi Xiong, Hongkui Yu, Qun Liu · 2005 · Lecture notes in computer science
- A preliminary look into the use of named entity information for bioscience text tokenizationRobert Arens · 2004
- Synthesising Generative Probabilistic Models for High-Level Activity RecognitionChristoph Burghardt, Maik Wurdel, Sebastian Bader, Gernot Ruscher, Thomas Kirste · 2011 · Atlantis ambient and pervasive intelligence
- Non-coding small (micro) RNAs of Pseudomonas aeruginosa isolated from clinical isolates from adult patients with cystic fibrosisJ. 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
- Thoughts on a Recursive Classifier Graph: a Multiclass Network for Deep Object RecognitionMarius Leordeanu, Rahul Sukthankar · 2014 · arXiv (Cornell University)
- Spatial and Temporal Abstractions in POMDPs Applied to Robot NavigationGeorgios Theocharous, Sridhar Mahadevan, Leslie Pack Kaelbling · 2005 · Defense Technical Information Center (DTIC)
- Location-Aware Multi-agent Based Intelligent Services in Home NetworksMinsoo Lee, Yong Deok Kim, Yoonsik Uhm, Zion Hwang, Gwanyeon Kim, Sehyun Park, Oh-Young Song · 2006 · Lecture notes in computer science
- Clustering contextual facial display sequencesJesse Hoey · 2003 · International Conference on Automatic Face and Gesture Recognition
- Modeling Dynamical Systems with Structured Predictive State Representations.Britton Wolfe · 2009 · Deep Blue (University of Michigan)
- Topological Dynamic Bayesian NetworksDjamel Bouchaffra · 2010 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
- Predicting trend in the next-day market by Hierarchical Hidden Markov ModelLuigi Troiano, Pravesh Kriplani · 2010 · International Conference on Computer Information Systems and Industrial Management Applications (CISIM)
- An intrusion detection method based on hierarchical hidden Markov modelsChunfu Jia, Feng Yang · 2007 · Wuhan University Journal of Natural Sciences
- Dynamic Alignment Models for Neural CodingSepp Kollmorgen, Richard H. R. Hahnloser · 2014 · PLoS Computational Biology
- An Energy-Aware On-Demand Clustering Routing Algorithm for Ad Hoc NetworksWeiren Shi, Chao Huang, Jiuyin Yuan · 2007 · International Conference on Computer Sciences and Convergence Information Technology
- Automatic annotation of gestural units in spontaneous face-to-face interactionSimon Alexanderson, David House, Jonas Beskow · 2016
- Modeling and Prediction of Human Behaviors based on Driving Data using Multi-Layer HMMsQi Deng, Dirk Söffker · 2019 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
- Big data processing and analysis on the impact of COVID-19 on public transport delayYuming Ou, Adriana‐Simona Mihăiţă, Fang Chen · 2022 · Elsevier eBooks
- Popular Tag Recommendation by Neural Network in Social MediaMohammad Jafari Sadr, Seyedeh Leili Mirtaheri, Sergio Greco, Keivan Borna · 2023 · Computational Intelligence and Neuroscience
- Improving activity recognition by segmental pattern miningUmut Avcı, Andrea Passerini · 2012 · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
- Learning hierarchical non-parametric hidden Markov model of human motionYi Wang, Zhiqiang Liu, Lizhu Zhou · 2005 · International Conference on Machine Learning and Cybernetics
- A language-based approach to indexing heterogeneous multimedia lifelogPeng-Wen Cheng, Snehal Kumar Chennuru, Senaka Buthpitiya, Ying Zhang · 2010 · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
- Embedding HMMs-based models in a Euclidean space: the topological hidden Markov modelsDjamel Bouchaffra · 2010 · Pattern Recognition
- Analysis of complex neural circuits with nonlinear multidimensional hidden state modelsAlexander 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
- Technique for Early Reliability Prediction of Software Components Using Behaviour ModelsAwad Ali, Dayang N. A. Jawawi, Mohd Adham Isa, Muhammad Imran Babar · 2016 · PLoS ONE
- Generalized Viterbi-based models for time-series segmentation and clustering applied to speaker diarizationItshak Lapidot, Alon Shoa, Tal Furmanov, Lidiya Aminov, Ami Moyal, Jean-François Bonastre · 2017 · Computer Speech & Language
- Comparison of algorithms to divide noisy phone sequences into syllables for automatic unconstrained English speaking proficiency scoringDavid O. Johnson, Okim Kang · 2017 · Artificial Intelligence Review
- A Review of Vision Based Dynamic Hand Gestures Recognition洁 沙 · 2020 · Computer Science and Application
- Factored State-Abstract Hidden Markov Models for Activity Recognition Using Pervasive Multi-modal SensorsDinh Tuan Tran, Dinh Phung, Hung Bui, Svetha Venkatesh · 2005 · International Conference on Intelligent Sensors, Sensor Networks and Information Processing
- Taming the Unstructured: Creating Structured Content from Partially Labeled Schematic Text SequencesSaikat Mukherjee, I. V. Ramakrishnan · 2004 · Lecture notes in computer science
- A probabilistic approach to learn activities of daily living of a mobility aid device userMitesh Patel, Jaime Valls Miró, Gamini Dissanayake · 2014 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
- Features in Concert: Discriminative Feature Selection meets Unsupervised ClusteringMarius Leordeanu, Alexandra Radu, Rahul Sukthankar · 2014 · arXiv (Cornell University)
- Multi-Rate and Variable-Rate Modeling of Speech At Phone and Syllable Time ScalesÖzgür Çetin, Mari Ostendorf E · 2006 · IEEE International Conference on Acoustics Speech and Signal Processing
- Apprentissage et inférence statistique dans les bases de documents structurés : application aux corpus de documents textuelsLudovic Denoyer · 2004
- Decoding the stock market dynamics in the banking sector: Short versus long-term insightsBarbara Čeryová, Peter Árendáš · 2024 · The North American Journal of Economics and Finance
- A structure-based disentangled network with contrastive regularization for sign language recognitionLiqing Gao, Lei Zhu, Lianyu Hu, Peng Shi, Liang Wan, Wei Feng · 2025 · Expert Systems with Applications
- Multi-views Emotional Knowledge Extraction for Emotion Recognition in ConversationZhongquan Jian, Daihang Wu, Shaopan Wang, Jiezhou He, Junfeng Yao, Kunhong Liu, Qingqiang Wu · 2025 · Knowledge-Based Systems
- Structured Hidden Markov Model: A General Framework for Modeling Complex SequencesUgo Galassi, Attilio Giordana, Lorenza Saitta · 2007 · Lecture notes in computer science
- Advanced Markovian wind energy models for smart grid applicationsBarry Patrick Hayes, Sasa Djokic · 2013 · IEEE PES Innovative Smart Grid Technologies Europe