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Method for learning switching linear dynamic system models from data

IPC분류정보
국가/구분 United States(US) Patent 등록
국제특허분류(IPC7판)
  • G05B-013/02
출원번호 US-0654426 (2000-09-01)
발명자 / 주소
  • Pavlovic , Vladimir
  • Rehg, James Matthew
출원인 / 주소
  • Hewlett-Packard Development Company L.C.
인용정보 피인용 횟수 : 28  인용 특허 : 9

초록

From a set of possible switching states and responsive to a sequence of measurements, a corresponding sequence of switching states is determined for a system having a plurality of dynamic models, associates each model with a switching state such that a model is selected when its associated switching

대표청구항

From a set of possible switching states and responsive to a sequence of measurements, a corresponding sequence of switching states is determined for a system having a plurality of dynamic models, associates each model with a switching state such that a model is selected when its associated switching

이 특허에 인용된 특허 (9)

  1. Blair William D. (Fredericksburg VA) Watson Gregory A. (Fredericksburg VA) Rice Theodore R. (Fredericksburg VA), Interacting multiple bias model filter system for tracking maneuvering targets.
  2. Cusani Roberto,ITX ; Baccarelli Enzo,ITX, MAP receiver for high-speed numerical transmissions through rayleigh channels noisy and dispersive in time and frequency.
  3. Leyendecker Robert Richard ; Chen Jay Jui-Chieh,CAX ; Garrido Armando Cova,CAX ; Guo Yan,CAX ; Pavlovic Vladimir,CAX ; Rey Claudio Gustavo,CAX ; Yan Desmond Wai Ming,CAX, Method and apparatus for linear transmission by direct inverse modeling.
  4. Rehg James Matthew ; Morris Daniel D., Method and system for compressing a sequence of images including a moving figure.
  5. Cham Tat-Jen ; Rehg James Matthew, Multiple mode probability density estimation with application to multiple hypothesis tracking.
  6. Cham Tat-Jen ; Rehg James Matthew, Multiple mode probability density estimation with application to sequential markovian decision processes.
  7. Olli Piirainen FI, Reception method and a receiver.
  8. James Mathew Rehg ; Kathleen Knobe ; Rishiyur S. Nikhil ; Umakishore Ramachandran, System for integrating task and data parallelism in dynamic applications.
  9. Pulford Graham William,AUX ; Jarrott Robert Keith,AUX ; Evans Robin John,AUX, Tracking method for a radar system.

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  1. Woronow, Alex; Love, Karen M., Bayesian network triads for geologic and geophysical applications.
  2. Liu, Peng; Kao-Ping K. Soong, Frank; Zhou, Jian-Lai, Calculating cost measures between HMM acoustic models.
  3. Dariush, Behzad, Constrained resolved acceleration control.
  4. Ruck, Otto, Control of an operation of a coordinate measuring device.
  5. Yang, Ming-Hsuan; Fan, Zhimin, Discriminative motion modeling for human motion tracking.
  6. Eom, Ki-wan; Han, Chang-woo; Kang, Tae-gyoon; Kim, Nam-soo; Hong, Doo-hwa; Lee, Jae-won; Lim, Hyung-joon, Front-end processor for speech recognition, and speech recognizing apparatus and method using the same.
  7. Schmit,Geoffrey C., Graphical program nodes for implementing a measurement state model.
  8. Veillette, Michel; Berriah, Said; Tremblay, Gilles, Intelligent monitoring system and method for building predictive models and detecting anomalies.
  9. Schmit,Geoffrey C., Measurement system which uses a state model.
  10. Krutsch, Robert Cristian, Method and apparatus for data set classification based on generator features.
  11. Pavlović,Vladimir; Rehg,James Matthew, Method for motion synthesis and interpolation using switching linear dynamic system models.
  12. Pavlovic,Vladimir; Rehg,James Matthew, Method for visual tracking using switching linear dynamic systems models.
  13. Attias,Hagai; Deng,Li; Lee,Leo, Method of speech recognition using multimodal variational inference with switching state space models.
  14. Attias, Hagai; Lee, Leo Jingyu; Deng, Li, Method of speech recognition using variational inference with switching state space models.
  15. Attias,Hagai; Lee,Leo Jingyu; Deng,Li, Method of speech recognition using variational inference with switching state space models.
  16. Boyan, Justin; McDonald, Glenn; Benthall, Margaret; Molnar, Ray, Methods and systems to train models to extract and integrate information from data sources.
  17. Skaanning, Claus; Schreckengast, James, Model selection for decision support systems.
  18. Tuzel,Oncel; Porikli,Fatih M., Modeling low frame rate videos with bayesian estimation.
  19. Yang,Ming Hsuan; Li,Rui, Monocular tracking of 3D human motion with a coordinated mixture of factor analyzers.
  20. Droppo,James; Acero,Alejandro, Noise robust speech recognition with a switching linear dynamic model.
  21. Choi,Yang lim; Yu,Yun ju; Manjunath,Bangalore S.; Sun,Xinding; Chen,Ching wei, Object activity modeling method.
  22. Kairo, Suzanne; Heins, William A.; Love, Karen M., Predicting sand-grain composition and sand texture.
  23. Kadambe, Shubha; Niechayev, Alexander; Lumanlan, Ted Y., Processing unknown radar emitters.
  24. Toyama,Kentaro; Krumm,John C.; Brumitt,Barry L.; Meyers,Brian R., System and method for background maintenance of an image sequence.
  25. Jojic, Nebojsa; Petrovic, Nemanja, System and method for fast on-line learning of transformed hidden Markov models.
  26. Ai, Haizhou; Li, Yuan; Lao, Shihong; Yamashita, Takayoshi, Tracking method and device adopting a series of observation models with different life spans.
  27. Chalasani, Nanchariah Raghuveera; Wesley, Ajamu A.; Rahman, Javed; Subramanian, Balan, Using stochastic models to diagnose and predict complex system problems.
  28. Lin,Yun Ting; Gutta,Srinivas; Brodsky,Tomas; Philomin,Vasanth, Video monitoring system employing hierarchical hidden markov model (HMM) event learning and classification.
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