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Domain Adaptation in Computer Vision with Deep Learning [[electronic resource] /] / edited by Hemanth Venkateswara, Sethuraman Panchanathan
Domain Adaptation in Computer Vision with Deep Learning [[electronic resource] /] / edited by Hemanth Venkateswara, Sethuraman Panchanathan
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XI, 256 p. 76 illus., 55 illus. in color.)
Disciplina 006.31
Soggetto topico Machine learning
Optical data processing
Signal processing
Image processing
Speech processing systems
Artificial intelligence
Application software
Machine Learning
Computer Imaging, Vision, Pattern Recognition and Graphics
Signal, Image and Speech Processing
Artificial Intelligence
Computer Applications
ISBN 3-030-45529-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Part I: Introduction -- Chapter 1: Introduction to Domain Adaptation -- Chapter 2: Shallow Domain Adaptation -- Part II: Domain Alignment in the Feature Space -- Chapter 3: d-SNE: Domain Adaptation using Stochastic Neighborhood Embedding -- Chapter 4: Deep Hashing Network for Unsupervised Domain Adaptation -- Chapter 5: Re-weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation -- Part III: Domain Alignment in the Image Space -- Chapter 6: Unsupervised Domain Adaptation with Duplex Generative Adversarial Network -- Chapter 7: Domain Adaptation via Image to Image Translation -- Chapter 8: Domain Adaptation via Image Style Transfer -- Part IV: Future Directions in Domain Adaptation -- Chapter 9: Towards Scalable Image Classifier Learning with Noisy Labels via Domain Adaptation -- Chapter 10: Adversarial Learning Approach for Open Set Domain Adaptation -- Chapter 11: Universal Domain Adaptation -- Chapter 12: Multi-source Domain Adaptation by Deep CockTail Networks -- Chapter 13: Zero-Shot Task Transfer.
Record Nr. UNISA-996418269003316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Domain Adaptation in Computer Vision with Deep Learning / / edited by Hemanth Venkateswara, Sethuraman Panchanathan
Domain Adaptation in Computer Vision with Deep Learning / / edited by Hemanth Venkateswara, Sethuraman Panchanathan
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XI, 256 p. 76 illus., 55 illus. in color.)
Disciplina 006.31
Soggetto topico Machine learning
Optical data processing
Signal processing
Image processing
Speech processing systems
Artificial intelligence
Application software
Machine Learning
Computer Imaging, Vision, Pattern Recognition and Graphics
Signal, Image and Speech Processing
Artificial Intelligence
Computer Applications
ISBN 3-030-45529-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Part I: Introduction -- Chapter 1: Introduction to Domain Adaptation -- Chapter 2: Shallow Domain Adaptation -- Part II: Domain Alignment in the Feature Space -- Chapter 3: d-SNE: Domain Adaptation using Stochastic Neighborhood Embedding -- Chapter 4: Deep Hashing Network for Unsupervised Domain Adaptation -- Chapter 5: Re-weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation -- Part III: Domain Alignment in the Image Space -- Chapter 6: Unsupervised Domain Adaptation with Duplex Generative Adversarial Network -- Chapter 7: Domain Adaptation via Image to Image Translation -- Chapter 8: Domain Adaptation via Image Style Transfer -- Part IV: Future Directions in Domain Adaptation -- Chapter 9: Towards Scalable Image Classifier Learning with Noisy Labels via Domain Adaptation -- Chapter 10: Adversarial Learning Approach for Open Set Domain Adaptation -- Chapter 11: Universal Domain Adaptation -- Chapter 12: Multi-source Domain Adaptation by Deep CockTail Networks -- Chapter 13: Zero-Shot Task Transfer.
Record Nr. UNINA-9910483087803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Haptic Interfaces for Accessibility, Health, and Enhanced Quality of Life [[electronic resource] /] / edited by Troy McDaniel, Sethuraman Panchanathan
Haptic Interfaces for Accessibility, Health, and Enhanced Quality of Life [[electronic resource] /] / edited by Troy McDaniel, Sethuraman Panchanathan
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (298 pages)
Disciplina 004.77
Soggetto topico User interfaces (Computer systems)
Multimedia information systems
Robotics
Control engineering
Mechatronics
People with disabilities
User Interfaces and Human Computer Interaction
Multimedia Information Systems
Control, Robotics, Mechatronics
Disability Studies
ISBN 3-030-34230-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: Haptics for Sensory Impairments -- Chapter 1: Enabling Learning Experiences for Visually Impaired Children by Interaction Design -- Chapter 2: Haptically-Assisted Interfaces for Persons with Visual Impairments -- Chapter 3: Maps as Ability Amplifiers: Using Graphical Tactile Displays to Enhance Spatial Skills in People Who Are Visually Impaired -- Chapter 4: Haptics for Sensory Substitution -- Part II: Haptics for Health and Wellbeing -- Chapter 5: Haptics in Rehabilitation, Exergames and Health -- Chapter 6: Therapeutic Haptics for Mental Health and Wellbeing -- Chapter 7: Applications of Haptics in Medicine -- Part III: Haptics for Physical Impairments -- Chapter 8: Assistive Soft Exoskeletons with Pneumatic Artificial Muscles -- Chapter 9: Haptics for Accessibility in Hardware for Rehabilitation -- Chapter 10: Intelligent Robotics and Immersive Displays for Enhancing Haptic Interaction in Physical Rehabilitation Environments.
Record Nr. UNISA-996465445303316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Haptic Interfaces for Accessibility, Health, and Enhanced Quality of Life / / edited by Troy McDaniel, Sethuraman Panchanathan
Haptic Interfaces for Accessibility, Health, and Enhanced Quality of Life / / edited by Troy McDaniel, Sethuraman Panchanathan
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (298 pages)
Disciplina 004.77
Soggetto topico User interfaces (Computer systems)
Multimedia systems
Robotics
Automatic control
Mechatronics
People with disabilities
User Interfaces and Human Computer Interaction
Multimedia Information Systems
Control, Robotics, Mechatronics
Disability Studies
ISBN 3-030-34230-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: Haptics for Sensory Impairments -- Chapter 1: Enabling Learning Experiences for Visually Impaired Children by Interaction Design -- Chapter 2: Haptically-Assisted Interfaces for Persons with Visual Impairments -- Chapter 3: Maps as Ability Amplifiers: Using Graphical Tactile Displays to Enhance Spatial Skills in People Who Are Visually Impaired -- Chapter 4: Haptics for Sensory Substitution -- Part II: Haptics for Health and Wellbeing -- Chapter 5: Haptics in Rehabilitation, Exergames and Health -- Chapter 6: Therapeutic Haptics for Mental Health and Wellbeing -- Chapter 7: Applications of Haptics in Medicine -- Part III: Haptics for Physical Impairments -- Chapter 8: Assistive Soft Exoskeletons with Pneumatic Artificial Muscles -- Chapter 9: Haptics for Accessibility in Hardware for Rehabilitation -- Chapter 10: Intelligent Robotics and Immersive Displays for Enhancing Haptic Interaction in Physical Rehabilitation Environments.
Record Nr. UNINA-9910366658803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
MM'11 : proceedings of the 2011 ACM Multimedia Conference & co-located workshops : AIEMPro'11, IMMPD'11, J-HGBU'11, J-MRE'11, MiFor'11 MIRUM'11, MMAR'11, MTDL'11,SBNMA'11, Ubi-MUI'11 & WSM'11, Nov. 28 - Dec. 1, 2011, Scottsdale, AZ, USA
MM'11 : proceedings of the 2011 ACM Multimedia Conference & co-located workshops : AIEMPro'11, IMMPD'11, J-HGBU'11, J-MRE'11, MiFor'11 MIRUM'11, MMAR'11, MTDL'11,SBNMA'11, Ubi-MUI'11 & WSM'11, Nov. 28 - Dec. 1, 2011, Scottsdale, AZ, USA
Autore Candan K. Selçuk
Pubbl/distr/stampa [Place of publication not identified], : ACM, 2011
Descrizione fisica 1 online resource (890 pages)
Collana ACM Conferences
Soggetto topico Engineering & Applied Sciences
Computer Science
ISBN 1-4503-0616-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Multimedia'11 : proceedings of the 2011 Association for Computing Machinery Multimedia Conference and co-located workshops : AIEMPro'11, IMMPD'11, J-HGBU'11, J-MRE'11, MiFor'11 MIRUM'11, MMAR'11, MTDL'11,SBNMA'11, Ubi-MUI'11 & WSM'11, Nov. 28 - Dec. 1, 2011, Scottsdale, Arizona, United States of America
Proceedings of the 19th ACM International Conference on Multimedia
MM '11 ACM Multimedia Conference, Scottsdale, AZ, USA - November 28 - December 01, 2011
Record Nr. UNINA-9910376124103321
Candan K. Selçuk  
[Place of publication not identified], : ACM, 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui