Incremental Learning for Motion Prediction of Pedestrians and Vehicles (Registro nro. 202429)

MARC details
000 -LÍDER
fixed length control field 03340nam a22004695i 4500
001 - NÚMERO DE CONTROL
control field u374549
003 - IDENTIFICADOR DEL NÚMERO DE CONTROL
control field SIRSI
005 - FECHA Y HORA DE LA ULTIMA TRANSACCIÓN
control field 20160812084240.0
007 - CAMPO FIJO DE DESCRIPCIÓN FIJA--INFORMACIÓN GENERAL
fixed length control field cr nn 008mamaa
008 - ELEMENTOS DE LONGITUD FIJA -- INFORMACIÓN GENERAL
fixed length control field 100715s2010 gw | s |||| 0|eng d
020 ## - NÚMERO INTERNACIONAL NORMALIZADO PARA LIBROS
International Standard Book Number 9783642136429
-- 978-3-642-13642-9
040 ## - FUENTE DE CATALOGACIÓN
Transcribing agency MX-MeUAM
050 #4 - SIGNATURA TOPOGRÁFICA DE LA BIBLIOTECA DEL CONGRESO
Classification number TJ210.2-211.495
050 #4 - SIGNATURA TOPOGRÁFICA DE LA BIBLIOTECA DEL CONGRESO
Classification number T59.5
082 04 - NÚMERO DE CLASIFICACIÓN DECIMAL DEWEY
Classification number 629.892
Edition number 23
100 1# - ASIENTO PRINCIPAL--NOMBRE PERSONAL
Personal name Govea, Alejandro Dizan Vasquez.
Relator term author.
245 10 - MENCIÓN DE TITULO
Title Incremental Learning for Motion Prediction of Pedestrians and Vehicles
Medium [recurso electrónico] /
Statement of responsibility, etc. by Alejandro Dizan Vasquez Govea.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Berlin, Heidelberg :
Name of producer, publisher, distributor, manufacturer Springer Berlin Heidelberg,
Date of production, publication, distribution, manufacture, or copyright notice 2010.
300 ## - DESCRIPCIÓN FÍSICA
Extent 160p. 35 illus. in color.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - MENCIÓN DE SERIE
Series statement Springer Tracts in Advanced Robotics,
International Standard Serial Number 1610-7438 ;
Volume/sequential designation 64
505 0# - NOTA DE CONTENIDO
Formatted contents note I: Background -- Probabilistic Models -- II: State of the Art -- Intentional Motion Prediction -- Hidden Markov Models -- III: Proposed Approach -- Growing Hidden Markov Models -- Learning and Predicting Motion with GHMMs -- IV: Experiments -- Experimental Data -- Experimental Results -- V: Conclusion -- Conclusions and Future Work.
520 ## - NOTA DE RESUMEN, ETC.
Summary, etc. Modeling and predicting human and vehicle motion is an active research domain. Owing to the difficulty in modeling the various factors that determine motion (e.g. internal state, perception) this is often tackled by applying machine learning techniques to build a statistical model, using as input a collection of trajectories gathered through a sensor (e.g. camera, laser scanner), and then using that model to predict further motion. Unfortunately, most current techniques use offline learning algorithms, meaning that they are not able to learn new motion patterns once the learning stage has finished. This books presents a lifelong learning approach where motion patterns can be learned incrementally, and in parallel with prediction. The approach is based on a novel extension to hidden Markov models, and the main contribution presented in this book, called growing hidden Markov models, which gives us the ability to learn incrementally both the parameters and the structure of the model. The proposed approach has been extensively validated with synthetic and real trajectory data. In our experiments our approach consistently learned motion models that were more compact and accurate than those produced by two other state-of-the-art techniques, confirming the viability of lifelong learning approaches to build human behavior models.
596 ## -
-- 19
650 #0 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Engineering.
650 #0 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Optical pattern recognition.
650 14 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Engineering.
650 24 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Robotics and Automation.
650 24 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
650 24 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Pattern Recognition.
710 2# - ASIENTO SECUNDARIO - NOMBRE CORPORATIVO
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783642136412
830 #0 - ASIENTO SECUNDARIO DE SERIE--TITULO UNIFORME
Uniform title Springer Tracts in Advanced Robotics,
International Standard Serial Number 1610-7438 ;
Volume number/sequential designation 64
856 40 - LOCALIZACIÓN Y ACCESO ELECTRÓNICOS
Public note Libro electrónico
Uniform Resource Identifier <a href="http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-13642-9">http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-13642-9</a>
942 ## - TIPO DE MATERIAL (KOHA)
Koha item type Libro Electrónico
Existencias
Estado de retiro Fuente de clasificación Colección Ubicación permanente Ubicación actual Fecha de ingreso Total Checkouts Signatura topográfica Código de barras Date last seen Número de copia Tipo de material
    Colección de Libros Electrónicos Biblioteca Electrónica Biblioteca Electrónica     TJ210.2 -211.495 374549-2001 12/08/2016 1 Libro Electrónico

Con tecnología Koha