Machine learning and robot perception

This book presents some of the most recent research results in the area of machine learning and robot perception. The chapters represent new ways of solving real-world problems. The book covers topics such as intelligent object detection, foveated vision systems, online learning paradigms, reinforce...

Full description

Other Authors: Apolloni, Bruno, 1946-, SpringerLink (Online service)
Format: eBook
Language: English
Published: Berlin : Springer-Verlag, ©2005.
Berlin : [2005]
Physical Description: 1 online resource (vii, 351 pages) : illustrations (some color).
Series: Studies in computational intelligence ; v. 7.
Subjects:
LEADER 07449cam a2201081 a 4500
001 209871638
003 OCoLC
005 20240223121953.0
006 m o d
007 cr cn|||||||||
008 080226s2005 gw a ob 000 0 eng d
019 |a 316266897  |a 401481794  |a 613666055  |a 664271832  |a 739142164  |a 746947377  |a 756421056  |a 767180603  |a 880021120  |a 985037942  |a 1005829689  |a 1044282436  |a 1044564380  |a 1050960287  |a 1056361921  |a 1056375260  |a 1077267018  |a 1087226390  |a 1097300560  |a 1102297725  |a 1125528553  |a 1136330117  |a 1204006670  |a 1229659256  |a 1391835918  |a 1393048401  |a 1413277469 
020 |a 9783540324096 
020 |a 3540324097 
020 |a 9783540265498 
020 |a 354026549X 
024 3 |a 9783540265498 
035 |a (OCoLC)209871638  |z (OCoLC)316266897  |z (OCoLC)401481794  |z (OCoLC)613666055  |z (OCoLC)664271832  |z (OCoLC)739142164  |z (OCoLC)746947377  |z (OCoLC)756421056  |z (OCoLC)767180603  |z (OCoLC)880021120  |z (OCoLC)985037942  |z (OCoLC)1005829689  |z (OCoLC)1044282436  |z (OCoLC)1044564380  |z (OCoLC)1050960287  |z (OCoLC)1056361921  |z (OCoLC)1056375260  |z (OCoLC)1077267018  |z (OCoLC)1087226390  |z (OCoLC)1097300560  |z (OCoLC)1102297725  |z (OCoLC)1125528553  |z (OCoLC)1136330117  |z (OCoLC)1204006670  |z (OCoLC)1229659256  |z (OCoLC)1391835918  |z (OCoLC)1393048401  |z (OCoLC)1413277469 
037 |a 978-3-540-26549-8  |b Springer  |n http://www.springerlink.com 
040 |a GW5XE  |b eng  |e pn  |c GW5XE  |d GW5XE  |d OCLCA  |d OCLCQ  |d LGG  |d HVC  |d MND  |d YNG  |d ISOBC  |d OCLCO  |d OCLCQ  |d A7U  |d OCLCQ  |d OCLCF  |d BEDGE  |d OCLCQ  |d YDXCP  |d IDEBK  |d OCLCQ  |d SLY  |d OCLCQ  |d VT2  |d Z5A  |d OCLCQ  |d ESU  |d CEF  |d OCLCQ  |d U3W  |d AU@  |d WYU  |d ICG  |d MERER  |d CANPU  |d YOU  |d CNTRU  |d AUD  |d OCLCQ  |d SFB  |d DCT  |d LVT  |d OCLCQ  |d OCLCO  |d OCLCQ  |d INARC  |d OCLCO  |d OCLCL 
049 |a COM6 
050 4 |a Q325.5  |b .M3254 2005eb 
066 |c (Q 
072 7 |a TA  |2 lcco 
082 0 4 |a 006.3/1  |2 22 
084 |a TP18  |2 clc 
084 |a TP242  |2 clc 
245 0 0 |a Machine learning and robot perception /  |c Bruno Appolloni [and others] (eds.). 
260 |a Berlin :  |b Springer-Verlag,  |c ©2005. 
264 1 |a Berlin :  |b Springer-Verlag,  |c [2005] 
264 4 |c ©2005. 
300 |a 1 online resource (vii, 351 pages) :  |b illustrations (some color). 
336 |a text  |b txt  |2 rdacontent. 
337 |a computer  |b c  |2 rdamedia. 
338 |a online resource  |b cr  |2 rdacarrier. 
347 |b PDF. 
347 |a text file. 
490 1 |a Studies in computational intelligence,  |x 1860-949X ;  |v v. 7. 
504 |a Includes bibliographical references. 
505 0 |6 880-01  |a Learning visual landmarks for mobile robot topological navigation / Mario Mata, Jose Maria Armingol, and Arturo de la Escalera -- Foveated vision sensor and image processing : a review / Mohammed Yeasin and Rajeev Sharma -- On-line model learning for mobile manipulations / Yu Sun, Ning Xi, and Jindong Tan -- Continuous reinforcement learning algorithm for skills learning in an autonomous mobile robot / Ma Jesús López Boada [and others] -- Efficient incorporation of optical flow into visual motion estimation in tracking / Gozde Unal, Anthony Yezzi, and Hamid Krim -- 3-D modeling of real-world objects using range and intensity images / Johnny Park and Guilherme N. DeSouza -- Perception for human motion understanding / Christopher R. Wren -- Cognitive user modeling computed by a proposed dialogue strategy based on an inductive game theory / Hirotaka Asai [and others]. 
588 0 |a Print version record. 
520 |a This book presents some of the most recent research results in the area of machine learning and robot perception. The chapters represent new ways of solving real-world problems. The book covers topics such as intelligent object detection, foveated vision systems, online learning paradigms, reinforcement learning for a mobile robot, object tracking and motion estimation, 3D model construction, computer vision system and user modelling using dialogue strategies. This book will appeal to researchers, senior undergraduate/postgraduate students, application engineers and scientists. 
506 |a University staff and students only. Requires University Computer Account login off-campus. 
650 0 |a Machine learning. 
650 0 |a Robotics. 
650 0 |a Computer vision. 
650 2 0 |a Automation. 
650 2 0 |a Robotics. 
650 1 0 |a Engineering. 
650 2 0 |a Artificial intelligence. 
650 2 4 |a Control, Robotics, Mechatronics. 
650 6 |a Apprentissage automatique. 
650 6 |a Robotique. 
650 6 |a Vision par ordinateur. 
650 0 7 |a Robotics.  |2 cct. 
650 0 7 |a Computer vision.  |2 cct. 
650 0 7 |a Machine learning.  |2 cct. 
650 7 |a Ingénierie.  |2 eclas. 
650 7 |a Computer vision.  |2 fast. 
650 7 |a Machine learning.  |2 fast. 
650 7 |a Robotics.  |2 fast. 
700 1 |a Apolloni, Bruno,  |d 1946-  |1 https://id.oclc.org/worldcat/entity/E39PCjGqXBKYkbw7J4tvfBFc4C. 
710 2 |a SpringerLink (Online service) 
776 0 8 |i Print version:  |t Machine learning and robot perception.  |d Berlin : Springer-Verlag, ©2005  |z 354026549X  |z 9783540265498  |w (DLC) 2005929885  |w (OCoLC)61766518. 
830 0 |a Studies in computational intelligence ;  |v v. 7.  |x 1860-949X. 
880 0 |6 505-01/(Q  |a Learning visual landmarks for mobile robot topological navigation / Mario Mata, Jose Maria Armingol, and Arturo de la Escalera -- Foveated vision sensor and image processing : a review / Mohammed Yeasin and Rajeev Sharma -- On-line model learning for mobile manipulations / Yu Sun, Ning Xi, and Jindong Tan -- Continuous reinforcement learning algorithm for skills learning in an autonomous mobile robot / Ma Jesu⁺ѓs López Boada [and others] -- Efficient incorporation of optical flow into visual motion estimation in tracking / Gozde Unal, Anthony Yezzi, and Hamid Krim -- 3-D modeling of real-world objects using range and intensity images / Johnny Park and Guilherme N. DeSouza -- Perception for human motion understanding / Christopher R. Wren -- Cognitive user modeling computed by a proposed dialogue strategy based on an inductive game theory / Hirotaka Asai [and others]. 
907 |a .b29516341  |b multi  |c -  |d 100215  |e 240401 
998 |a (3)cue  |a cc  |a cu  |b 240227  |c m  |d z   |e -  |f eng  |g gw   |h 0  |i 3 
948 |a MARCIVE Overnight, in 2024.03 
948 |a MARCIVE Comp, in 2022.12 
948 |a MARCIVE Over, 07/2021 
948 |a MARCIVE Comp, 2018.05 
948 |a MARCIVE August, 2017 
948 |a MARCIVE extract Aug 5, 2017 
933 |a Marcive found issue: "650 24   |a Control, Robotics, Mechatronics." 
994 |a 92  |b COM 
995 |a Loaded with m2btab.ltiac in 2024.03 
995 |a Loaded with m2btab.elec in 2024.02 
995 |a Loaded with m2btab.ltiac in 2022.12 
995 |a Loaded with m2btab.ltiac in 2021.07 
995 |a Loaded with m2btab.elec in 2021.06 
995 |a Loaded with m2btab.ltiac in 2018.06 
995 |a Loaded with m2btab.ltiac in 2017.08 
995 |a Loaded with m2btab.elec in 2016 
995 |a Loaded with m2btab.elec in 2016 
995 |a Loaded with m2btab.elec in 2016 
995 |a OCLC offline update by CMU 
995 |a Loaded with m2btab.auth in 2021.07 
995 |a Loaded with m2btab.auth in 2021.07 
995 |a Loaded with m2btab.auth in 2024.03 
999 |e z 
999 |a cue 
989 |d cueme  |e  - -   |f  - -   |g -   |h 0  |i 0  |j 200  |k 240227  |l $0.00  |m    |n  - -   |o -  |p 0  |q 0  |t 0  |x 0  |w SpringerLink  |1 .i150167787  |u http://ezproxy.coloradomesa.edu/login?url=https://link.springer.com/10.1007/b137627  |3 SpringerLink  |z Click here for access