top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.

Biblioteca

MARC Lista (tabellare)
Advances in digital document processing and retrieval / / editors, Bidyut Baran Chaudhuri, Swapan Kumar Parui, Indian Statistical Institute, India
Advances in digital document processing and retrieval / / editors, Bidyut Baran Chaudhuri, Swapan Kumar Parui, Indian Statistical Institute, India
Autore Chaudhuri B. B (Bidyut Baran)
Pubbl/distr/stampa New Jersey : , : World Scientific, , [2014]
Descrizione fisica 1 online resource (x, 323 pages) : illustrations
Disciplina 025.04
Collana Statistical science and interdisciplinary research
Platinum jubilee series
Soggetto topico Information storage and retrieval systems
Documentation - Data processing
Digital preservation
Document imaging systems
Electronic publishing
Multimedia systems
Electronic records
ISBN 981-4368-71-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Foreword; Preface; Contents; 1. Document Image Analysis using Markovian Models: Application to Historical Documents; 1.1. Introduction; 1.2. Hidden Markov Random Field Models; 1.2.1. Theoretical foundations; 1.2.1.1. Simulated annealing; 1.2.1.2. Iterated Conditional Modes (ICM); 1.2.1.3. Highest Confidence First (HCF) algorithm; 1.2.1.4. 2D Dynamic Programming; 1.2.2. Application of MRF labelling to handwritten document segmentation; 1.2.2.1. Probability densities; 1.2.2.2. Clique potential functions; 1.2.2.3. Observations; 1.2.2.4. Decoding strategy; 1.2.3. Results; 1.2.3.1. Zone labelling
1.2.3.2. Text line labelling1.2.3.3. Conclusion; 1.3. Conditional Random Field Models; 1.3.1. Proposed model; 1.3.1.1. Feature functions; 1.3.1.2. Model inference; 1.3.1.3. Parameter learning; 1.3.2. A two level CRF model; 1.3.2.1. Observation features; 1.3.2.2. Label features; 1.3.2.3. Learning; 1.3.3. Integrating more contextual information; 1.3.3.1. Global feature function; 1.3.3.2. Combination of the information sources; 1.3.3.3. Linear combination of the information sources (impl.2); 1.3.3.4. Combination of the information sources using an MLP (impl.3); 1.3.4. Experiments and results
1.4. Conclusions and OutlookAcknowledgments; References; 2. Information Just-in-Time: Going Beyond the Myth of Paperlessness; 2.1. Introduction; 2.2. Information Just-in-Time; 2.2.1. Personal Information Environment; 2.2.2. Hot/Warm/Cold Documents; 2.2.3. Proposed Approach; 2.3. Digital Pen Solution; 2.3.1. Anoto Functionality; 2.3.2. Data Entry Applications; 2.4. iJIT Collaboration Platform; 2.4.1. On-Demand Printing; 2.4.2. Hybrid Document Management System; 2.4.3. Research Notebook Application - iJITNote; 2.4.4. Future Directions; 2.5. Conclusions; Acknowledgments; References
3. The Role of Document Image Analysis in Trustworthy Elections3.1. Introduction; 3.2. History; 3.3. Problems with Current Voting Technologies; 3.4. Experimental Approaches to Reliable Processing of Voting Records; 3.4.1. Statistical distribution of mark sense errors; 3.4.2. Unbiased context-free visual auditing based on ballot images; 3.4.3. Homogenous class display; 3.4.4. Unique identification of ballots; 3.4.5. Error characteristics of DRE with VVPAT; 3.4.6. Development of testing procedures for voting systems; 3.4.7. Affordances for voters with disabilities; 3.5. Some Related Efforts
3.6. Concluding RemarksReferences; 4. Information Retrieval from Document Image Databases; 4.1. Introduction; 4.2. Related Work; 4.3. Word Shape Coding; 4.3.1. Word Shape Coding by Character Stroke Categorization; 4.3.2. Word Shape Coding by Character Boundary Extrema; 4.3.3. Word Shape Coding by Character Holes and Reservoirs; 4.4. Document Image Retrieval; 4.4.1. Document Vector Construction; 4.4.2. Document Similarity Measurement; 4.5. Discussions; 4.5.1. Coding Ambiguity; 4.5.2. Coding Robustness; 4.5.3. Document Similarity Measurements; 4.5.4. Coding Scheme Selection; 4.6. Conclusion
References
Record Nr. UNINA-9910790976203321
Chaudhuri B. B (Bidyut Baran)  
New Jersey : , : World Scientific, , [2014]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in digital document processing and retrieval / / editors, Bidyut Baran Chaudhuri, Swapan Kumar Parui, Indian Statistical Institute, India
Advances in digital document processing and retrieval / / editors, Bidyut Baran Chaudhuri, Swapan Kumar Parui, Indian Statistical Institute, India
Autore Chaudhuri B. B (Bidyut Baran)
Pubbl/distr/stampa New Jersey : , : World Scientific, , [2014]
Descrizione fisica 1 online resource (x, 323 pages) : illustrations
Disciplina 025.04
Collana Statistical science and interdisciplinary research
Platinum jubilee series
Soggetto topico Information storage and retrieval systems
Documentation - Data processing
Digital preservation
Document imaging systems
Electronic publishing
Multimedia systems
Electronic records
ISBN 981-4368-71-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Foreword; Preface; Contents; 1. Document Image Analysis using Markovian Models: Application to Historical Documents; 1.1. Introduction; 1.2. Hidden Markov Random Field Models; 1.2.1. Theoretical foundations; 1.2.1.1. Simulated annealing; 1.2.1.2. Iterated Conditional Modes (ICM); 1.2.1.3. Highest Confidence First (HCF) algorithm; 1.2.1.4. 2D Dynamic Programming; 1.2.2. Application of MRF labelling to handwritten document segmentation; 1.2.2.1. Probability densities; 1.2.2.2. Clique potential functions; 1.2.2.3. Observations; 1.2.2.4. Decoding strategy; 1.2.3. Results; 1.2.3.1. Zone labelling
1.2.3.2. Text line labelling1.2.3.3. Conclusion; 1.3. Conditional Random Field Models; 1.3.1. Proposed model; 1.3.1.1. Feature functions; 1.3.1.2. Model inference; 1.3.1.3. Parameter learning; 1.3.2. A two level CRF model; 1.3.2.1. Observation features; 1.3.2.2. Label features; 1.3.2.3. Learning; 1.3.3. Integrating more contextual information; 1.3.3.1. Global feature function; 1.3.3.2. Combination of the information sources; 1.3.3.3. Linear combination of the information sources (impl.2); 1.3.3.4. Combination of the information sources using an MLP (impl.3); 1.3.4. Experiments and results
1.4. Conclusions and OutlookAcknowledgments; References; 2. Information Just-in-Time: Going Beyond the Myth of Paperlessness; 2.1. Introduction; 2.2. Information Just-in-Time; 2.2.1. Personal Information Environment; 2.2.2. Hot/Warm/Cold Documents; 2.2.3. Proposed Approach; 2.3. Digital Pen Solution; 2.3.1. Anoto Functionality; 2.3.2. Data Entry Applications; 2.4. iJIT Collaboration Platform; 2.4.1. On-Demand Printing; 2.4.2. Hybrid Document Management System; 2.4.3. Research Notebook Application - iJITNote; 2.4.4. Future Directions; 2.5. Conclusions; Acknowledgments; References
3. The Role of Document Image Analysis in Trustworthy Elections3.1. Introduction; 3.2. History; 3.3. Problems with Current Voting Technologies; 3.4. Experimental Approaches to Reliable Processing of Voting Records; 3.4.1. Statistical distribution of mark sense errors; 3.4.2. Unbiased context-free visual auditing based on ballot images; 3.4.3. Homogenous class display; 3.4.4. Unique identification of ballots; 3.4.5. Error characteristics of DRE with VVPAT; 3.4.6. Development of testing procedures for voting systems; 3.4.7. Affordances for voters with disabilities; 3.5. Some Related Efforts
3.6. Concluding RemarksReferences; 4. Information Retrieval from Document Image Databases; 4.1. Introduction; 4.2. Related Work; 4.3. Word Shape Coding; 4.3.1. Word Shape Coding by Character Stroke Categorization; 4.3.2. Word Shape Coding by Character Boundary Extrema; 4.3.3. Word Shape Coding by Character Holes and Reservoirs; 4.4. Document Image Retrieval; 4.4.1. Document Vector Construction; 4.4.2. Document Similarity Measurement; 4.5. Discussions; 4.5.1. Coding Ambiguity; 4.5.2. Coding Robustness; 4.5.3. Document Similarity Measurements; 4.5.4. Coding Scheme Selection; 4.6. Conclusion
References
Record Nr. UNINA-9910813508403321
Chaudhuri B. B (Bidyut Baran)  
New Jersey : , : World Scientific, , [2014]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in digital document processing and retrieval / / editors, Bidyut Baran Chaudhuri (Indian Statistical Institute, India) & Swapan Kumar Parui (Indian Statistical Institute, India)
Advances in digital document processing and retrieval / / editors, Bidyut Baran Chaudhuri (Indian Statistical Institute, India) & Swapan Kumar Parui (Indian Statistical Institute, India)
Pubbl/distr/stampa New Jersey : , : World Scientific, , [2014]
Descrizione fisica 1 online resource (334 p.)
Disciplina 025.04
Altri autori (Persone) ChaudhuriB. B (Bidyut Baran)
ParuiSwapan Kumar
Collana Statistical science and interdisciplinary research
Platinum jubilee series
Soggetto topico Information storage and retrieval systems
Documentation - Data processing
Digital preservation
Document imaging systems
Electronic publishing
Multimedia systems
Electronic records
Soggetto genere / forma Electronic books.
ISBN 981-4368-71-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Foreword; Preface; Contents; 1. Document Image Analysis using Markovian Models: Application to Historical Documents; 1.1. Introduction; 1.2. Hidden Markov Random Field Models; 1.2.1. Theoretical foundations; 1.2.1.1. Simulated annealing; 1.2.1.2. Iterated Conditional Modes (ICM); 1.2.1.3. Highest Confidence First (HCF) algorithm; 1.2.1.4. 2D Dynamic Programming; 1.2.2. Application of MRF labelling to handwritten document segmentation; 1.2.2.1. Probability densities; 1.2.2.2. Clique potential functions; 1.2.2.3. Observations; 1.2.2.4. Decoding strategy; 1.2.3. Results; 1.2.3.1. Zone labelling
1.2.3.2. Text line labelling1.2.3.3. Conclusion; 1.3. Conditional Random Field Models; 1.3.1. Proposed model; 1.3.1.1. Feature functions; 1.3.1.2. Model inference; 1.3.1.3. Parameter learning; 1.3.2. A two level CRF model; 1.3.2.1. Observation features; 1.3.2.2. Label features; 1.3.2.3. Learning; 1.3.3. Integrating more contextual information; 1.3.3.1. Global feature function; 1.3.3.2. Combination of the information sources; 1.3.3.3. Linear combination of the information sources (impl.2); 1.3.3.4. Combination of the information sources using an MLP (impl.3); 1.3.4. Experiments and results
1.4. Conclusions and OutlookAcknowledgments; References; 2. Information Just-in-Time: Going Beyond the Myth of Paperlessness; 2.1. Introduction; 2.2. Information Just-in-Time; 2.2.1. Personal Information Environment; 2.2.2. Hot/Warm/Cold Documents; 2.2.3. Proposed Approach; 2.3. Digital Pen Solution; 2.3.1. Anoto Functionality; 2.3.2. Data Entry Applications; 2.4. iJIT Collaboration Platform; 2.4.1. On-Demand Printing; 2.4.2. Hybrid Document Management System; 2.4.3. Research Notebook Application - iJITNote; 2.4.4. Future Directions; 2.5. Conclusions; Acknowledgments; References
3. The Role of Document Image Analysis in Trustworthy Elections3.1. Introduction; 3.2. History; 3.3. Problems with Current Voting Technologies; 3.4. Experimental Approaches to Reliable Processing of Voting Records; 3.4.1. Statistical distribution of mark sense errors; 3.4.2. Unbiased context-free visual auditing based on ballot images; 3.4.3. Homogenous class display; 3.4.4. Unique identification of ballots; 3.4.5. Error characteristics of DRE with VVPAT; 3.4.6. Development of testing procedures for voting systems; 3.4.7. Affordances for voters with disabilities; 3.5. Some Related Efforts
3.6. Concluding RemarksReferences; 4. Information Retrieval from Document Image Databases; 4.1. Introduction; 4.2. Related Work; 4.3. Word Shape Coding; 4.3.1. Word Shape Coding by Character Stroke Categorization; 4.3.2. Word Shape Coding by Character Boundary Extrema; 4.3.3. Word Shape Coding by Character Holes and Reservoirs; 4.4. Document Image Retrieval; 4.4.1. Document Vector Construction; 4.4.2. Document Similarity Measurement; 4.5. Discussions; 4.5.1. Coding Ambiguity; 4.5.2. Coding Robustness; 4.5.3. Document Similarity Measurements; 4.5.4. Coding Scheme Selection; 4.6. Conclusion
References
Record Nr. UNINA-9910453376903321
New Jersey : , : World Scientific, , [2014]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Proceedings of the International Workshop on Research Issues in Digital Libraries (IWRIDL-2006) : in association with ACM SIGIR : Indian Statistical Institute, Kolkata, India
Proceedings of the International Workshop on Research Issues in Digital Libraries (IWRIDL-2006) : in association with ACM SIGIR : Indian Statistical Institute, Kolkata, India
Pubbl/distr/stampa [Place of publication not identified], : ACM, 2007
Descrizione fisica 1 online resource (121 pages)
Collana ACM Conferences
Soggetto topico Social Sciences
Library & Information Science
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Proceedings of the 2006 International Workshop on Research Issues in Digital Libraries
IWRIDL '06
International Workshop on Research Issues in Digital Libraries 2006, Kolkata, India - December 12 - 15, 2006
Record Nr. UNINA-9910376412203321
[Place of publication not identified], : ACM, 2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui