Coenzyme B 12 enzymes : Part B / edited by E. Neil G. Marsh |
Pubbl/distr/stampa | Cambridge, MA, : Elsevier Academic Press, 2022 |
Descrizione fisica | XVIII, 365 p. ; 23 cm |
Disciplina | 572.7 |
Collana | Methods in enzymology |
Soggetto topico | Enzimi |
ISBN | 978-0-323-95557-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996576170703316 |
Cambridge, MA, : Elsevier Academic Press, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Coenzyme B 12 enzymes : Part A / edited by E. Neil G. Marsh |
Pubbl/distr/stampa | Cambridge, MA, : Elsevier Academic Press, 2022 |
Descrizione fisica | XVIII, 372 p. ; 23 cm |
Disciplina | 572.7 |
Collana | Methods in enzymology |
Soggetto topico | Enzimi |
ISBN | 978-0-323-91591-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996576170603316 |
Cambridge, MA, : Elsevier Academic Press, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Cognitive systems [[electronic resource] ] : information processing meets brain science / / scientific coordinators, Richard Morris and Lionel Tarassenko ; editorial consultant, Michael Kenward |
Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier Academic Press, c2006 |
Descrizione fisica | 1 online resource (325 p.) |
Disciplina | 006.3 |
Altri autori (Persone) |
MorrisR. G. M (Richard G. M.)
TarassenkoLionel KenwardMichael |
Soggetto topico |
Cognitive science
Neural networks (Computer science) Neural networks (Neurobiology) |
Soggetto genere / forma | Electronic books. |
ISBN |
1-280-63786-2
9786610637867 0-08-045826-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Cognitive Systems: Information Processing Meets Brain Science; Contents; Contributors; Preface; Introduction; The Right Time; Challenges for the Future; The Broader Remit; A New Generation; Public Debate; A New Dawn?; Section 1: How to Design a Cognitive System; Introduction; 1 Self-organization in the Nervous System; 1 INTRODUCTION; 1.1 Self-organization in the Nervous System; 1.2 Outline of the Chapter; 2 SELF-ORGANIZATION IN DEVELOPMENT; 2.1 Self-organization and Pattern Formation; 2.1.1 Pattern Formation in the Specification of Forebrain
2.1.2 Pattern Formation in the Specification of Neocortex 2.1.3 Self-organization in Forebrain and Neocortical Development; 2.1.4 Pattern Formation in the Positioning of Cells; 2.2 Making the Correct Numbers of Cells: Cell Death; 2.3 Development of Connections; 2.3.1 Map Formation; 2.3.2 Topographic Map Formation in the Visual System; 2.3.3 The Elimination of Superinnervation from Developing Muscle; 3 THE ROLE OF SELF-ORGANIZATION IN EXPERIENTIAL CHANGE; 3.1 Feature Maps; 3.1.1 Ocular Dominance, Orientation and Direction Selectivity; 3.1.2 Relations Between the Different Feature Maps 3.1.3 The Effect of Neural Activity 3.1.4 Self-organization and the Formation of Feature Maps; 3.2 Self-organization and the Acquisition of Cognitive Function; 3.2.1 Cognitive Self-organization; 3.2.2 Neural Constructivism and Neural Networks; 4 SELF-ORGANIZATION AS A RESPONSE TO DAMAGE; 4.1 Self-reorganization; 4.2 Can the Nervous System Regenerate After All?; 5 OPEN QUESTIONS; 5.1 Questions for the Neurosciences; 5.1.1 Levels of Analysis; 5.1.2 The Use of Mathematical and Computer Models; 5.1.3 Evidence from Invertebrates; 5.2 Inspiration for Other Sciences - 'Cognitive Systems' Acknowledgments Further Reading; References; 2 Large-scale, Small-scale Systems; 1 INTRODUCTION; 1.1 State of the Art; 1.2 Key Open Questions; 2 INTRODUCTION; 2.1 Biology in Cognitive Systems: Science and Engineering; 2.2 Applications of BICAS; 2.2.1 Circuit-level Computation; 2.2.2 Networked and Distributed Computing; 2.2.3 Artificial Autonomous Agents; 2.3 Opportunities for BICAS; 2.4 Structure of this Chapter; 3 CIRCUIT-BASED SYSTEMS; 3.1 Introduction; 3.2 Key Questions; 3.2.1 Dynamics; 3.2.2 Self-organization; 3.2.3 Synchronization; 3.2.4 Processing Speed; 3.2.5 Timing; 3.2.6 Robustness 3.2.7 Information Representation in Transmission 3.2.8 Construction and Microcircuitry; 3.3 Five-year View; 3.4 Twenty-year View; 4 DISTRIBUTED, NETWORKED COMPUTING SYSTEMS; 4.1 Introduction; 4.2 State of the Art; 4.2.1 Biologically Inspired Models of Collective Organization; 4.2.2 Multi-agent Machine Learning; 4.3 Key Questions; 4.4 Five-year View; 4.5 Twenty-year View; 5 AUTONOMOUS AGENTS; 5.1 Introduction; 5.2 State of the Art; 5.2.1 Autonomous Robots; 5.2.2 Software Agents; Business and Management; Auction Agents; 5.3 Biological Metaphors in Research; 5.4 Key Research Questions 5.5 Five-year View |
Record Nr. | UNINA-9910458686203321 |
Amsterdam ; ; Boston, : Elsevier Academic Press, c2006 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Cognitive systems [[electronic resource] ] : information processing meets brain science / / scientific coordinators, Richard Morris and Lionel Tarassenko ; editorial consultant, Michael Kenward |
Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier Academic Press, c2006 |
Descrizione fisica | 1 online resource (325 p.) |
Disciplina | 006.3 |
Altri autori (Persone) |
MorrisR. G. M (Richard G. M.)
TarassenkoLionel KenwardMichael |
Soggetto topico |
Cognitive science
Neural networks (Computer science) Neural networks (Neurobiology) |
ISBN |
1-280-63786-2
9786610637867 0-08-045826-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Cognitive Systems: Information Processing Meets Brain Science; Contents; Contributors; Preface; Introduction; The Right Time; Challenges for the Future; The Broader Remit; A New Generation; Public Debate; A New Dawn?; Section 1: How to Design a Cognitive System; Introduction; 1 Self-organization in the Nervous System; 1 INTRODUCTION; 1.1 Self-organization in the Nervous System; 1.2 Outline of the Chapter; 2 SELF-ORGANIZATION IN DEVELOPMENT; 2.1 Self-organization and Pattern Formation; 2.1.1 Pattern Formation in the Specification of Forebrain
2.1.2 Pattern Formation in the Specification of Neocortex 2.1.3 Self-organization in Forebrain and Neocortical Development; 2.1.4 Pattern Formation in the Positioning of Cells; 2.2 Making the Correct Numbers of Cells: Cell Death; 2.3 Development of Connections; 2.3.1 Map Formation; 2.3.2 Topographic Map Formation in the Visual System; 2.3.3 The Elimination of Superinnervation from Developing Muscle; 3 THE ROLE OF SELF-ORGANIZATION IN EXPERIENTIAL CHANGE; 3.1 Feature Maps; 3.1.1 Ocular Dominance, Orientation and Direction Selectivity; 3.1.2 Relations Between the Different Feature Maps 3.1.3 The Effect of Neural Activity 3.1.4 Self-organization and the Formation of Feature Maps; 3.2 Self-organization and the Acquisition of Cognitive Function; 3.2.1 Cognitive Self-organization; 3.2.2 Neural Constructivism and Neural Networks; 4 SELF-ORGANIZATION AS A RESPONSE TO DAMAGE; 4.1 Self-reorganization; 4.2 Can the Nervous System Regenerate After All?; 5 OPEN QUESTIONS; 5.1 Questions for the Neurosciences; 5.1.1 Levels of Analysis; 5.1.2 The Use of Mathematical and Computer Models; 5.1.3 Evidence from Invertebrates; 5.2 Inspiration for Other Sciences - 'Cognitive Systems' Acknowledgments Further Reading; References; 2 Large-scale, Small-scale Systems; 1 INTRODUCTION; 1.1 State of the Art; 1.2 Key Open Questions; 2 INTRODUCTION; 2.1 Biology in Cognitive Systems: Science and Engineering; 2.2 Applications of BICAS; 2.2.1 Circuit-level Computation; 2.2.2 Networked and Distributed Computing; 2.2.3 Artificial Autonomous Agents; 2.3 Opportunities for BICAS; 2.4 Structure of this Chapter; 3 CIRCUIT-BASED SYSTEMS; 3.1 Introduction; 3.2 Key Questions; 3.2.1 Dynamics; 3.2.2 Self-organization; 3.2.3 Synchronization; 3.2.4 Processing Speed; 3.2.5 Timing; 3.2.6 Robustness 3.2.7 Information Representation in Transmission 3.2.8 Construction and Microcircuitry; 3.3 Five-year View; 3.4 Twenty-year View; 4 DISTRIBUTED, NETWORKED COMPUTING SYSTEMS; 4.1 Introduction; 4.2 State of the Art; 4.2.1 Biologically Inspired Models of Collective Organization; 4.2.2 Multi-agent Machine Learning; 4.3 Key Questions; 4.4 Five-year View; 4.5 Twenty-year View; 5 AUTONOMOUS AGENTS; 5.1 Introduction; 5.2 State of the Art; 5.2.1 Autonomous Robots; 5.2.2 Software Agents; Business and Management; Auction Agents; 5.3 Biological Metaphors in Research; 5.4 Key Research Questions 5.5 Five-year View |
Record Nr. | UNINA-9910784543503321 |
Amsterdam ; ; Boston, : Elsevier Academic Press, c2006 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Cognitive systems [[electronic resource] ] : information processing meets brain science / / scientific coordinators, Richard Morris and Lionel Tarassenko ; editorial consultant, Michael Kenward |
Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier Academic Press, c2006 |
Descrizione fisica | 1 online resource (325 p.) |
Disciplina | 006.3 |
Altri autori (Persone) |
MorrisR. G. M (Richard G. M.)
TarassenkoLionel KenwardMichael |
Soggetto topico |
Cognitive science
Neural networks (Computer science) Neural networks (Neurobiology) |
ISBN |
1-280-63786-2
9786610637867 0-08-045826-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Cognitive Systems: Information Processing Meets Brain Science; Contents; Contributors; Preface; Introduction; The Right Time; Challenges for the Future; The Broader Remit; A New Generation; Public Debate; A New Dawn?; Section 1: How to Design a Cognitive System; Introduction; 1 Self-organization in the Nervous System; 1 INTRODUCTION; 1.1 Self-organization in the Nervous System; 1.2 Outline of the Chapter; 2 SELF-ORGANIZATION IN DEVELOPMENT; 2.1 Self-organization and Pattern Formation; 2.1.1 Pattern Formation in the Specification of Forebrain
2.1.2 Pattern Formation in the Specification of Neocortex 2.1.3 Self-organization in Forebrain and Neocortical Development; 2.1.4 Pattern Formation in the Positioning of Cells; 2.2 Making the Correct Numbers of Cells: Cell Death; 2.3 Development of Connections; 2.3.1 Map Formation; 2.3.2 Topographic Map Formation in the Visual System; 2.3.3 The Elimination of Superinnervation from Developing Muscle; 3 THE ROLE OF SELF-ORGANIZATION IN EXPERIENTIAL CHANGE; 3.1 Feature Maps; 3.1.1 Ocular Dominance, Orientation and Direction Selectivity; 3.1.2 Relations Between the Different Feature Maps 3.1.3 The Effect of Neural Activity 3.1.4 Self-organization and the Formation of Feature Maps; 3.2 Self-organization and the Acquisition of Cognitive Function; 3.2.1 Cognitive Self-organization; 3.2.2 Neural Constructivism and Neural Networks; 4 SELF-ORGANIZATION AS A RESPONSE TO DAMAGE; 4.1 Self-reorganization; 4.2 Can the Nervous System Regenerate After All?; 5 OPEN QUESTIONS; 5.1 Questions for the Neurosciences; 5.1.1 Levels of Analysis; 5.1.2 The Use of Mathematical and Computer Models; 5.1.3 Evidence from Invertebrates; 5.2 Inspiration for Other Sciences - 'Cognitive Systems' Acknowledgments Further Reading; References; 2 Large-scale, Small-scale Systems; 1 INTRODUCTION; 1.1 State of the Art; 1.2 Key Open Questions; 2 INTRODUCTION; 2.1 Biology in Cognitive Systems: Science and Engineering; 2.2 Applications of BICAS; 2.2.1 Circuit-level Computation; 2.2.2 Networked and Distributed Computing; 2.2.3 Artificial Autonomous Agents; 2.3 Opportunities for BICAS; 2.4 Structure of this Chapter; 3 CIRCUIT-BASED SYSTEMS; 3.1 Introduction; 3.2 Key Questions; 3.2.1 Dynamics; 3.2.2 Self-organization; 3.2.3 Synchronization; 3.2.4 Processing Speed; 3.2.5 Timing; 3.2.6 Robustness 3.2.7 Information Representation in Transmission 3.2.8 Construction and Microcircuitry; 3.3 Five-year View; 3.4 Twenty-year View; 4 DISTRIBUTED, NETWORKED COMPUTING SYSTEMS; 4.1 Introduction; 4.2 State of the Art; 4.2.1 Biologically Inspired Models of Collective Organization; 4.2.2 Multi-agent Machine Learning; 4.3 Key Questions; 4.4 Five-year View; 4.5 Twenty-year View; 5 AUTONOMOUS AGENTS; 5.1 Introduction; 5.2 State of the Art; 5.2.1 Autonomous Robots; 5.2.2 Software Agents; Business and Management; Auction Agents; 5.3 Biological Metaphors in Research; 5.4 Key Research Questions 5.5 Five-year View |
Record Nr. | UNINA-9910825419003321 |
Amsterdam ; ; Boston, : Elsevier Academic Press, c2006 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Combinatorial chemistry / edited by Guillermo A. Morales, Barry A. Bunin |
Pubbl/distr/stampa | Amsterdam ; Boston : Elsevier Academic Press, c1996-2003 |
Descrizione fisica | 2 v. : ill. ; 24 cm |
Altri autori (Persone) |
Morales, Guillermo A.
Bunin, Barry A. |
Collana | Methods in enzymology ; 369 |
Soggetto topico | Combinatorial chemistry - Techniques |
ISBN | 0121822729 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Pt.A. - 1996
Pt.B. - 2003. - xxxvi, 569 p., [17] c. di tav. |
Record Nr. | UNISALENTO-991000489109707536 |
Amsterdam ; Boston : Elsevier Academic Press, c1996-2003 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. del Salento | ||
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Comparative veterinary anatomy : a clinical approach / edited by: James A. Orsini, Nora S. Grenager, Alexander de Lahunta |
Pubbl/distr/stampa | London, : Elsevier Academic Press, ©2022 |
Descrizione fisica | xxiii, 1465 p. : ill. ; 29 cm |
Disciplina | 636.0891 |
Soggetto non controllato | Anatomia veterinaria |
ISBN | 9780323910156 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910745198003321 |
London, : Elsevier Academic Press, ©2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Complex enzymes in microbial natural product biosynthesis. Part B : polyketides, aminocoumarins and carbohydrates / edited by David A. Hopwood |
Pubbl/distr/stampa | Amsterdam [etc.], : Elsevier Academic Press, 2009 |
Descrizione fisica | v. ; 24 cm |
Disciplina | 572 |
Collana | Methods in Enzymology |
ISBN | 9780123745910 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 458: Part A ; 459: Part B |
Altri titoli varianti | Complex enzymes in microbial natural product biosynthesis. - |
Record Nr. | UNINA-9910676794303321 |
Amsterdam [etc.], : Elsevier Academic Press, 2009 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Computer methods / edited by Michael L. Johnson, Ludwig Brand |
Pubbl/distr/stampa | Amsterdam [etc.], : Elsevier Academic Press, 2009 |
Descrizione fisica | v. ; 24 cm |
Disciplina | 572 |
Collana | Methods in Enzymology |
ISBN | 9780123745521 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 454: Part A ; 467: Part B |
Record Nr. | UNINA-9910676794703321 |
Amsterdam [etc.], : Elsevier Academic Press, 2009 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Computer-graphic facial reconstruction [[electronic resource] /] / [edited by] John G. Clement and Murray K. Marks |
Pubbl/distr/stampa | Burlington, MA, : Elsevier Academic Press, c2005 |
Descrizione fisica | 1 online resource (409 p.) |
Disciplina |
006.4
614.1 |
Altri autori (Persone) |
ClementJohn G
MarksMurray K |
Soggetto topico |
Forensic osteology
Facial reconstruction (Anthropology) Forensic anthropology Human face recognition (Computer science) Dead |
Soggetto genere / forma | Electronic books. |
ISBN |
1-280-63793-5
9786610637935 0-08-045422-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
COVER; COMPUTER-GRAPHIC FACIAL RECONSTRUCTION; CONTENTS; FOREWORD; PREFACE; ACKNOWLEDGEMENTS; ABOUT THE EDITORS; LIST OF CONTRIBUTORS; PART I HISTORY AND BACKGROUND; CHAPTER 1 INTRODUCTION TO FACIAL RECONSTRUCTION; 1.1 BACKGROUND; 1.2 UNITING MICRO- AND MACROMORPHOLOGICAL THEMES; 1.3 FORENSIC IMPERATIVES; REFERENCES; CHAPTER 2 CLASSICAL NON-COMPUTER-ASSISTED CRANIOFACIAL RECONSTRUCTION; 2.1 INTRODUCTION; 2.2 CRANIOFACIAL RECONSTRUCTION; 2.3 HISTORY OF CFR; 2.4 ANTHROPOLOGICAL ANALYSIS OF THE SKULL; 2.5 SOFT-TISSUE DEPTH; 2.6 MANUAL 2D CFR; 2.6.1 SKETCHES; 2.6.2 GEORGE'S METHOD
2.7 MANUAL 3D CFR2.8 DISCUSSION; ACKNOWLEDGEMENTS; REFERENCES; CHAPTER 3 THE WISDOM OF BONES: FACIAL APPROXIMATION ON THE SKULL; 3.1 INTRODUCTION; 3.2 THE PURPOSE OF FACIAL APPROXIMATION; 3.3 A HISTORIC PERSPECTIVE; 3.4 WHAT THE SKULL CAN TELL US: POSITIONAL RELATIONSHIPS BETWEEN THE SKULL AND THE FACIAL FEATURES; 3.4.1 THE RELATIONSHIP BETWEEN THE ORBIT AND THE EYE; 3.4.2 THE RELATIONSHIP BETWEEN THE BONY NASAL APERTURE AND THE NOSE; 3.4.3 THE RELATIONSHIP BETWEEN THE SKULL, THE TEETH, AND THE MOUTH; 3.4.4 THE RELATIONSHIP BETWEEN THE SKULL AND THE EARS; 3.4.5 SEXUAL DIMORPHISM IN THE FACE 3.5 BUILDING THE FACE FROM THE SKULL3.5.1 PRELIMINARY COLLECTION OF DATA; 3.5.2 CLEANING AND PREPARATION OF THE SKULL; 3.5.3 REPAIRING THE DAMAGED SKULL; 3.5.4 THE CLAY MODELING PROCEDURE; 3.6 HOW SUCCESSFUL IS FACIAL APPROXIMATION?; 3.7 COMPUTER ENHANCEMENT OF THE APPROXIMATION; 3.8 PUBLICIZING THE RESULTS; 3.9 CASE REPORTS; 3.10 CONCLUSION; REFERENCES; CHAPTER 4 THREE-DIMENSIONAL QUANTIFICATION OF FACIAL SHAPE; 4.1 INTRODUCTION; 4.2 BACKGROUND: WHY MEASURE FACES?; 4.3 BACKGROUND: WHAT IS A FACE?; 4.4 DATA ACQUISITION METHODS; 4.5 SOFTWARE TOOLS FOR DATA EXTRACTION AND ANALYSIS 4.6 QUANTITATIVE DIFFERENCES BETWEEN FACES4.7 DATA TYPES: POINT CLOUDS; 4.8 DATA TYPES: LANDMARKS; 4.9 DATA TYPES: OUTLINES; 4.10 CALCULATION OF DIFFERENCES BETWEEN FACES; 4.11 CONCLUSION; ACKNOWLEDGEMENTS; REFERENCES; CHAPTER 5 AUTOMATIC 3D FACIAL RECONSTRUCTION BY FEATURE-BASED REGISTRATION OF A REFERENCE HEAD; 5.1 INTRODUCTION; MORPHOMETRY-BASED METHODS; MORPHOLOGY-BASED METHODS; REGISTRATION-BASED METHODS; 5.2 DESCRIPTION OF THE METHOD; 5.2.1 DATA ACQUISITION; THE ACQUISITION PROCESS; THE REFERENCE HEAD; EXPERIMENT 1: UNKNOWN CONTEMPORARY SKULL EXPERIMENT 2: PREHISTORIC SKULL OF THE MAN OF TAUTAVEL5.2.2 EXTRACTION OF FEATURE POINTS AND LINES; 5.2.3 REGISTRATION OF FEATURE LINES; 5.2.4 GEOMETRICAL NORMALIZATION; 5.2.5 COMPUTING THE 3D TRANSFORMATION; 5.3 RESULTS AND DISCUSSION; 5.3.1 THE PROBLEM OF THE VALIDATION; EXPERIMENT 1; EXPERIMENT 2; 5.3.2 DEFINING A REFERENCE HEAD; 5.3.3 MODELING THE HUMAN VARIABILITY; AGE; ETHNICITY; CORPULENCE; EXPRESSIVITY; 5.3.4 INFERRING ILL-DEFINED FACIAL PARTS OR FEATURES; 5.4 CONCLUSION; ACKNOWLEDGEMENTS; REFERENCES; PART II CONCEPTS AND CREATION OF FACIAL RECONSTRUCTION MODELS CHAPTER 6 TWO-DIMENSIONAL COMPUTER-GENERATED AVERAGE HUMAN FACE MORPHOLOGY AND FACIAL APPROXIMATION |
Record Nr. | UNINA-9910458087003321 |
Burlington, MA, : Elsevier Academic Press, c2005 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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