Elements of information theory
Elements of information theory
On the Computational Complexity of Approximating Distributions by Probabilistic Automata
Machine Learning - Computational learning theory
Inference and minimization of hidden Markov chains
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
The power of amnesia: learning probabilistic automata with variable memory length
Machine Learning - Special issue on COLT '94
Factorial Hidden Markov Models
Machine Learning - Special issue on learning with probabilistic representations
Recent Advances in Hierarchical Reinforcement Learning
Discrete Event Dynamic Systems
Self-Similar Layered Hidden Markov Models
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
Self-Similarity for Data Mining and Predictive Modeling - A Case Study for Network Data
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Simplified Training Algorithms for Hierarchical Hidden Markov Models
DS '01 Proceedings of the 4th International Conference on Discovery Science
Active Hidden Markov Models for Information Extraction
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
Spatiotemporal Abstraction of Stochastic Sequential Processes
Proceedings of the 5th International Symposium on Abstraction, Reformulation and Approximation
Bursty and hierarchical structure in streams
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Recognition of Human Activity through Hierarchical Stochastic Learning
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Bursty and Hierarchical Structure in Streams
Data Mining and Knowledge Discovery
Recent Advances in Hierarchical Reinforcement Learning
Discrete Event Dynamic Systems
Biological applications of multi-relational data mining
ACM SIGKDD Explorations Newsletter
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Managing and analyzing carbohydrate data
ACM SIGMOD Record
Bayesian network model for semi-structured document classification
Information Processing and Management: an International Journal - Special issue: Bayesian networks and information retrieval
Layered representations for learning and inferring office activity from multiple sensory channels
Computer Vision and Image Understanding - Special issue on event detection in video
Combining distributional and morphological information for part of speech induction
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
IEEE Transactions on Knowledge and Data Engineering
Topic transition detection using hierarchical hidden Markov and semi-Markov models
Proceedings of the 13th annual ACM international conference on Multimedia
Keyboard acoustic emanations revisited
Proceedings of the 12th ACM conference on Computer and communications security
Named entity recognition with character-level models
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Chinese lexical analysis using hierarchical hidden Markov model
SIGHAN '03 Proceedings of the second SIGHAN workshop on Chinese language processing - Volume 17
HHMM-based Chinese lexical analyzer ICTCLAS
SIGHAN '03 Proceedings of the second SIGHAN workshop on Chinese language processing - Volume 17
Hierarchical topic segmentation of websites
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Simultaneous record detection and attribute labeling in web data extraction
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Multimodal estimation of user interruptibility for smart mobile telephones
Proceedings of the 8th international conference on Multimodal interfaces
Online Handwritten Shape Recognition Using Segmental Hidden Markov Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Structural hidden Markov models: An application to handwritten numeral recognition
Intelligent Data Analysis
The Journal of Machine Learning Research
IEEE Transactions on Pattern Analysis and Machine Intelligence
Techniques to incorporate the benefits of a hierarchy in a modified hidden Markov model
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Robust recognition and segmentation of human actions using HMMs with missing observations
EURASIP Journal on Applied Signal Processing
Practical use of non-local features for statistical spoken language understanding
Computer Speech and Language
Utility-based plan recognition: an extended abstract
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
A statistical multiresolution approach for face recognition using structural hidden Markov models
EURASIP Journal on Advances in Signal Processing
A daily behavior enabled hidden Markov model for human behavior understanding
Pattern Recognition
A new efficient probabilistic model for mining labeled ordered trees applied to glycobiology
ACM Transactions on Knowledge Discovery from Data (TKDD)
A daily behavior enabled hidden Markov model for human behavior understanding
Pattern Recognition
Hierarchical Hidden Markov Models for User/Process Profile Learning
Fundamenta Informaticae - Special issue ISMIS'05
Activity recognition via user-trace segmentation
ACM Transactions on Sensor Networks (TOSN)
Modeling interleaved hidden processes
Proceedings of the 25th international conference on Machine learning
Audiovisual integration with Segment Models for tennis video parsing
Computer Vision and Image Understanding
Motion intention recognition in robot assisted applications
Robotics and Autonomous Systems
A KEYHOLE PLAN RECOGNITION MODEL FOR ALZHEIMER'S PATIENTS: FIRST RESULTS
Applied Artificial Intelligence
A Machine Learning Approach to Test Data Generation: A Case Study in Evaluation of Gene Finders
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Probabilistic Model for Structured Document Mapping
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Structured Hidden Markov Model: A General Framework for Modeling Complex Sequences
AI*IA '07 Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
Logical Hierarchical Hidden Markov Models for Modeling User Activities
ILP '08 Proceedings of the 18th international conference on Inductive Logic Programming
Dynamic face recognition: From human to machine vision
Image and Vision Computing
Hierarchical group process representation in multi-agent activity recognition
Image Communication
Semantic Representation and Recognition of Continued and Recursive Human Activities
International Journal of Computer Vision
Mobi-watchdog: you can steal, but you can't run!
Proceedings of the second ACM conference on Wireless network security
Efficient duration and hierarchical modeling for human activity recognition
Artificial Intelligence
International Journal of Computer Vision
Component-based discriminative classification for hidden Markov models
Pattern Recognition
An Inductive Logic Programming Approach to Statistical Relational Learning
Proceedings of the 2005 conference on An Inductive Logic Programming Approach to Statistical Relational Learning
Learning Process Behavior with EDY: an Experimental Analysis
Proceedings of the 2008 conference on STAIRS 2008: Proceedings of the Fourth Starting AI Researchers' Symposium
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Hierarchical hidden Markov models with general state hierarchy
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Word lattice reranking for Chinese word segmentation and part-of-speech tagging
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
User Behavior Mining for On-Line GUI Adaptation
ICDHM '09 Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009
Keyboard acoustic emanations revisited
ACM Transactions on Information and System Security (TISSEC)
A preliminary look into the use of named entity information for bioscience text tokenization
HLT-SRWS '04 Proceedings of the Student Research Workshop at HLT-NAACL 2004
Clustering-Based Construction of Hidden Markov Models for Generative Kernels
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Functional specification of probabilistic process models
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
A computational model of the cerebral cortex
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Incorporating observer biases in keyhole plan recognition (efficiently!)
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
A learning architecture for automating the intelligent environment
IAAI'05 Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3
Journal of Artificial Intelligence Research
Incremental construction of structured hidden Markov models
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Review: The use of pervasive sensing for behaviour profiling - a survey
Pervasive and Mobile Computing
Hierarchical hidden Markov models for information extraction
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
A general model for online probabilistic plan recognition
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Learning complex event descriptions by abstraction
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
VOGUE: A variable order hidden Markov model with duration based on frequent sequence mining
ACM Transactions on Knowledge Discovery from Data (TKDD)
Hierarchical control models for multimodal process modeling
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A hybrid plan recognition model for Alzheimer's patients: Interleaved-erroneous dilemma
Web Intelligence and Agent Systems
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Minimal-latency human action recognition using reliable-inference
Image and Vision Computing
Sports video mining via multichannel segmental hidden Markov models
IEEE Transactions on Multimedia
A hidden Markov modelwith binned duration algorithm
IEEE Transactions on Signal Processing
Managing Adaptive Versatile environments
Pervasive and Mobile Computing
A novel approach for distributed application scheduling based on prediction of communication events
Future Generation Computer Systems
A new approach to probabilistic image modeling with multidimensional hidden Markov models
AMR'06 Proceedings of the 4th international conference on Adaptive multimedia retrieval: user, context, and feedback
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
Computer Vision and Image Understanding
A new probabilistic model for recognizing signs with systematic modulations
AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
An EM algorithm to learn sequences in the wavelet domain
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
Decomposition in hidden Markov models for activity recognition
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
A discriminative model corresponding to hierarchical HMMs
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Recognition of human faces: from biological to artificial vision
BVAI'07 Proceedings of the 2nd international conference on Advances in brain, vision and artificial intelligence
A relational hierarchical model for decision-theoretic assistance
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
BayCis: a Bayesian hierarchical HMM for cis-regulatory module decoding in metazoan genomes
RECOMB'08 Proceedings of the 12th annual international conference on Research in computational molecular biology
Sports video segmentation using a hierarchical hidden CRF
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Conformation-based hidden Markov models: application to human face identification
IEEE Transactions on Neural Networks
Complexity metrics in an incremental right-corner parser
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Detecting and discriminating behavioural anomalies
Pattern Recognition
Leveraging hidden dialogue state to select tutorial moves
IUNLPBEA '10 Proceedings of the NAACL HLT 2010 Fifth Workshop on Innovative Use of NLP for Building Educational Applications
Modeling and analysis of the packet-level loss process in wireless channels
Proceedings of the 13th ACM international conference on Modeling, analysis, and simulation of wireless and mobile systems
Topology estimation of hierarchical hidden Markov models for language models
NLDB'10 Proceedings of the Natural language processing and information systems, and 15th international conference on Applications of natural language to information systems
Value directed learning of gestures and facial displays
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
EURASIP Journal on Advances in Signal Processing - Special issue on genomic signal processing
International Journal of Speech Technology
Experimental evaluation of hierarchical hidden markov models
AI*IA'05 Proceedings of the 9th conference on Advances in Artificial Intelligence
Learning with segment boundaries for hierarchical HMMs
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
Location-Aware multi-agent based intelligent services in home networks
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
A methodological contribution to music sequences analysis
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Improving bayesian network structure search with random variable aggregation hierarchies
ECML'06 Proceedings of the 17th European conference on Machine Learning
An exponential representation in the API algorithm for hidden markov models training
EA'05 Proceedings of the 7th international conference on Artificial Evolution
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Tagging complex NEs with maxent models: layered structures versus extended tagset
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
Bayesian filter based behavior recognition in workflows allowing for user feedback
Computer Vision and Image Understanding
Review: Situation identification techniques in pervasive computing: A review
Pervasive and Mobile Computing
Predicting packet loss statistics with hidden Markov models for FEC control
Computer Networks: The International Journal of Computer and Telecommunications Networking
A context-aware multi-agent service system for assistive home applications
UIC'06 Proceedings of the Third international conference on Ubiquitous Intelligence and Computing
Continuous realtime gesture following and recognition
GW'09 Proceedings of the 8th international conference on Gesture in Embodied Communication and Human-Computer Interaction
Multistream dynamic bayesian network for meeting segmentation
MLMI'04 Proceedings of the First international conference on Machine Learning for Multimodal Interaction
An overview and classification of adaptive approaches to information extraction
Journal on Data Semantics IV
Learning regular expressions from noisy sequences
SARA'05 Proceedings of the 6th international conference on Abstraction, Reformulation and Approximation
Learning profiles based on hierarchical hidden markov model
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Hierarchical hidden markov model for rushes structuring and indexing
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Hierarchical hidden conditional random fields for information extraction
LION'05 Proceedings of the 5th international conference on Learning and Intelligent Optimization
Narrative structure analysis of lecture video with hierarchical hidden markov model for e-learning
Edutainment'06 Proceedings of the First international conference on Technologies for E-Learning and Digital Entertainment
Performance evaluation with hidden markov models
PERFORM'10 Proceedings of the 2010 IFIP WG 6.3/7.3 international conference on Performance Evaluation of Computer and Communication Systems: milestones and future challenges
Survey on classifying human actions through visual sensors
Artificial Intelligence Review
Modeling sequences of user actions for statistical goal recognition
User Modeling and User-Adapted Interaction
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
A periodic structural model for characterizing network traffic
ICIC'12 Proceedings of the 8th international conference on Intelligent Computing Theories and Applications
Hierarchical Hidden Markov Models for User/Process Profile Learning
Fundamenta Informaticae - Special issue ISMIS'05
Journal of Network and Computer Applications
Sketch interpretation and refinement using statistical models
EGSR'04 Proceedings of the Fifteenth Eurographics conference on Rendering Techniques
A method for online analysis of structured processes using bayesian filters and echo state networks
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
Real-Time Tactical and Strategic Sales Management for Intelligent Agents Guided by Economic Regimes
Information Systems Research
Stochastic variational inference
The Journal of Machine Learning Research
Video content categorization using the double decomposition
Multimedia Tools and Applications
Marginalized Viterbi algorithm for hierarchical hidden Markov models
Pattern Recognition
Hierarchical multi-channel hidden semi Markov graphical models for activity recognition
Computer Vision and Image Understanding
Finding the most likely upper level state sequence for hierarchical HMMs
SLSP'13 Proceedings of the First international conference on Statistical Language and Speech Processing
A top-down event-driven approach for concurrent activity recognition
Multimedia Tools and Applications
Multimedia Tools and Applications
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We introduce, analyze and demonstrate a recursive hierarchicalgeneralization of the widely used hidden Markov models, which we nameHierarchical Hidden Markov Models (HHMM). Our model is motivated by thecomplex multi-scale structure which appears in many natural sequences,particularly in language, handwriting and speech. We seek a systematicunsupervised approach to the modeling of such structures. By extending thestandard Baum-Welch (forward-backward) algorithm, we derive an efficientprocedure for estimating the model parameters from unlabeled data. We thenuse the trained model for automatic hierarchical parsing of observationsequences. We describe two applications of our model and its parameterestimation procedure. In the first application we show how to constructhierarchical models of natural English text. In these models differentlevels of the hierarchy correspond to structures on different length scalesin the text. In the second application we demonstrate how HHMMs can be usedto automatically identify repeated strokes that represent combination ofletters in cursive handwriting.