|
|
|
|
LEADER |
00000cam a2200000 a 4500 |
001 |
EBSCO_ocn829714601 |
003 |
OCoLC |
005 |
20231017213018.0 |
006 |
m o d |
007 |
cr cnu---unuuu |
008 |
130311s2008 si a ob 001 0 eng d |
040 |
|
|
|a N$T
|b eng
|e pn
|c N$T
|d M6U
|d I9W
|d E7B
|d IDEBK
|d OCLCF
|d YDXCP
|d DEBSZ
|d OCLCQ
|d AGLDB
|d OCLCQ
|d VTS
|d STF
|d AU@
|d M8D
|d UKAHL
|d LEAUB
|d OCLCQ
|d OCLCO
|d OCLCQ
|d OCLCO
|
019 |
|
|
|a 696629628
|a 1086503016
|
020 |
|
|
|a 9789812814548
|q (electronic bk.)
|
020 |
|
|
|a 981281454X
|q (electronic bk.)
|
020 |
|
|
|z 9812814531
|
020 |
|
|
|z 9789812814531
|
029 |
1 |
|
|a DEBBG
|b BV043124752
|
029 |
1 |
|
|a DEBSZ
|b 421285249
|
029 |
1 |
|
|a DEBSZ
|b 431423199
|
029 |
1 |
|
|a NZ1
|b 15023493
|
035 |
|
|
|a (OCoLC)829714601
|z (OCoLC)696629628
|z (OCoLC)1086503016
|
050 |
|
4 |
|a TA1650
|b .L59 2008eb
|
072 |
|
7 |
|a COM
|x 016000
|2 bisacsh
|
072 |
|
7 |
|a COM
|x 047000
|2 bisacsh
|
082 |
0 |
4 |
|a 006.4/2
|2 22
|
084 |
|
|
|a 54.74
|2 bcl
|
049 |
|
|
|a UAMI
|
100 |
1 |
|
|a Liwicki, Marcus.
|
245 |
1 |
0 |
|a Recognition of whiteboard notes :
|b online, offline and combination /
|c Marcus Liwicki, Horst Bunke.
|
260 |
|
|
|a Singapore ;
|a Hackensack, NJ :
|b World Scientific,
|c ©2008.
|
300 |
|
|
|a 1 online resource (xx, 206 pages) :
|b illustrations
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
490 |
1 |
|
|a Series in machine perception and artificial intelligence ;
|v v. 71
|
504 |
|
|
|a Includes bibliographical references (pages 191-204) and index.
|
520 |
1 |
|
|a "This book addresses the task of processing online handwritten notes acquired from an electronic whiteboard, which is a new modality in handwriting recognition research. The main motivation of this book is smart meeting rooms, aim to automate standard tasks usually performed by humans in a meeting." "The book can be summarized as follows. A new online handwritten database is compiled, and four handwriting recognition systems are developed. Moreover, novel preprocessing and normalization strategies are designed especially for whiteboard notes and a new neural network based recognizer is applied. Commercial recognition systems are included in a multiple classifier system."--Jacket
|
588 |
0 |
|
|a Print version record.
|
505 |
0 |
|
|a 1. Introduction. 1.1. Motivation. 1.2. Handwriting recognition. 1.3. Comparability of recognition results. 1.4. Related topics. 1.5. Contribution. 1.6. Ouline -- 2. Classification methods. 2.1. Hidden Markov models. 2.2. Neural networks. 2.3. Gaussian mixture models. 2.4. Language models -- 3. Linguistic resources and handwriting databases. 3.1. Linguistic resources. 3.2. IAM offline database. 3.3. IAM online database -- 4. Offline approach. 4.1. System description. 4.2. Enhancing the training set. 4.3. Experiments. 4.4. Word extraction. 4.5. Conclusions -- 5. Online approach. 5.1. Line segmentation. 5.2. Preprocessing. 5.3. Features. 5.4. HMM-based experiments. 5.5. Experiments with neural networks. 5.6. Conclusions and discussion -- 6. Multiple classifier combination. 6.1. Methodology. 6.2. Recognition systems. 6.3. Initial experiments. 6.4. Experiments with all recognition systems. 6.5. Advanced confidence measures. 6.6. Conclusions -- 7. Writer-dependent recognition. 7.1. Writer identification. 7.2. Writer-dependent experiments. 7.3. Automatic handwriting classification. 7.4. Conclusions -- 8. Conclusions. 8.1. Overview of recognition systems. 8.2. Overview of experimental results. 8.3. Concluding remarks. 8.4. Outlook.
|
590 |
|
|
|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
|
650 |
|
0 |
|a Optical pattern recognition.
|
650 |
|
0 |
|a Writing
|x Data processing.
|
650 |
|
0 |
|a Interactive whiteboards.
|
650 |
|
0 |
|a Image processing
|x Digital techniques.
|
650 |
|
6 |
|a Reconnaissance optique des formes (Informatique)
|
650 |
|
6 |
|a Écriture
|x Informatique.
|
650 |
|
6 |
|a Tableaux blancs interactifs.
|
650 |
|
6 |
|a Traitement d'images
|x Techniques numériques.
|
650 |
|
7 |
|a digital imaging.
|2 aat
|
650 |
|
7 |
|a COMPUTERS
|x Computer Vision & Pattern Recognition.
|2 bisacsh
|
650 |
|
7 |
|a COMPUTERS
|x Optical Data Processing.
|2 bisacsh
|
650 |
|
7 |
|a Image processing
|x Digital techniques
|2 fast
|
650 |
|
7 |
|a Interactive whiteboards
|2 fast
|
650 |
|
7 |
|a Optical pattern recognition
|2 fast
|
650 |
|
7 |
|a Writing
|x Data processing
|2 fast
|
700 |
1 |
|
|a Bunke, Horst.
|
776 |
0 |
8 |
|i Print version:
|a Liwicki, Marcus.
|t Recognition of whiteboard notes.
|d Singapore ; Hackensack, NJ : World Scientific, ©2008
|z 9812814531
|w (DLC) 2009275511
|w (OCoLC)228425513
|
830 |
|
0 |
|a Series in machine perception and artificial intelligence ;
|v v. 71.
|
856 |
4 |
0 |
|u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=521164
|z Texto completo
|
938 |
|
|
|a Askews and Holts Library Services
|b ASKH
|n AH24685780
|
938 |
|
|
|a ebrary
|b EBRY
|n ebr10688069
|
938 |
|
|
|a EBSCOhost
|b EBSC
|n 521164
|
938 |
|
|
|a ProQuest MyiLibrary Digital eBook Collection
|b IDEB
|n cis25732595
|
938 |
|
|
|a YBP Library Services
|b YANK
|n 9975187
|
994 |
|
|
|a 92
|b IZTAP
|