ES8608195A1 - Un elemento de aprendizaje probabilistico mejorado - Google Patents

Un elemento de aprendizaje probabilistico mejorado

Info

Publication number
ES8608195A1
ES8608195A1 ES539627A ES539627A ES8608195A1 ES 8608195 A1 ES8608195 A1 ES 8608195A1 ES 539627 A ES539627 A ES 539627A ES 539627 A ES539627 A ES 539627A ES 8608195 A1 ES8608195 A1 ES 8608195A1
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ES
Spain
Prior art keywords
learned
states
sequence
objects
information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired
Application number
ES539627A
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English (en)
Other versions
ES539627A0 (es
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nokia Spain SA
Original Assignee
Alcatel Espana SA
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Alcatel Espana SA filed Critical Alcatel Espana SA
Publication of ES8608195A1 publication Critical patent/ES8608195A1/es
Publication of ES539627A0 publication Critical patent/ES539627A0/es
Expired legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/29—Graphical models, e.g. Bayesian networks
    • G06F18/295—Markov models or related models, e.g. semi-Markov models; Markov random fields; Networks embedding Markov models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/84—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using probabilistic graphical models from image or video features, e.g. Markov models or Bayesian networks
    • G06V10/85—Markov-related models; Markov random fields

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Medical Informatics (AREA)
  • Data Mining & Analysis (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Evolutionary Biology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Mathematical Physics (AREA)
  • Character Discrimination (AREA)
  • Image Analysis (AREA)
  • Machine Translation (AREA)

Abstract

SISTEMA DE RECONOCIMIENTO DE OBJETOS Y/O ONDAS. INCLUYE: UNA ENTRADA (11) PARA RECIBIR OBJETOS; UNA SALIDA (13) PARA DESCARGAR ESTADOS RECONOCIDOS; UNA DISPOSICION (12) DE PLE''S (14A A 14H); UN PROCESADOR DE SALIDA (16) QUE VA DOTADO DE UNA PORCION DE INTERFAZ DE REALIMENTACION ACOPLADA A UN BUS BIDIRECCIONAL (18) ADAPTADO PARA REALIMENTAR LA INFORMACION DE SALIDA A UN PROCESADOR DE INTERFAZ DE MANTENIMIENTO (20); UN PROCESADOR (20) QUE INTERACOPLA DATOS PROCEDENTES DE UN PROCESADOR DE ENTRADA (22) Y DE LA DISPOSICION DE PLE''S (12) POR BUSES BIDIRECCIONALES (24 Y 26). SIENDO PLE''S ELEMENTOS DE APRENDIZAJE PROBABILISTICO. SE UTILIZA PARA RECONOCER TARJETAS DE IDENTIDAD, VOCES, HUELLAS DACTILARES, ETC.
ES539627A 1984-01-16 1985-01-16 Un elemento de aprendizaje probabilistico mejorado Expired ES8608195A1 (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US06/571,027 US4620286A (en) 1984-01-16 1984-01-16 Probabilistic learning element

Publications (2)

Publication Number Publication Date
ES8608195A1 true ES8608195A1 (es) 1986-06-16
ES539627A0 ES539627A0 (es) 1986-06-16

Family

ID=24282033

Family Applications (1)

Application Number Title Priority Date Filing Date
ES539627A Expired ES8608195A1 (es) 1984-01-16 1985-01-16 Un elemento de aprendizaje probabilistico mejorado

Country Status (6)

Country Link
US (1) US4620286A (es)
JP (1) JPS60230283A (es)
AU (1) AU3666884A (es)
BR (1) BR8500191A (es)
CA (1) CA1232358A (es)
ES (1) ES8608195A1 (es)

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Also Published As

Publication number Publication date
US4620286A (en) 1986-10-28
BR8500191A (pt) 1985-08-20
CA1232358A (en) 1988-02-02
AU3666884A (en) 1985-07-25
JPS60230283A (ja) 1985-11-15
ES539627A0 (es) 1986-06-16

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Legal Events

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FD1A Patent lapsed

Effective date: 19970203