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.
Domain Adaptation for Visual Understanding [[electronic resource] /] / edited by Richa Singh, Mayank Vatsa, Vishal M. Patel, Nalini Ratha
Domain Adaptation for Visual Understanding [[electronic resource] /] / edited by Richa Singh, Mayank Vatsa, Vishal M. Patel, Nalini Ratha
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (X, 144 p. 62 illus., 56 illus. in color.)
Disciplina 006.6869
Soggetto topico Optical data processing
Artificial intelligence
Computational intelligence
Image Processing and Computer Vision
Artificial Intelligence
Computational Intelligence
ISBN 3-030-30671-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Domain Adaptation for Visual Understanding -- M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning -- XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings -- Improving Transferability of Deep Neural Networks -- Cross Modality Video Segment Retrieval with Ensemble Learning -- On Minimum Discrepancy Estimation for Deep Domain Adaptation -- Multi-Modal Conditional Feature Enhancement for Facial Action Unit Recognition -- Intuition Learning -- Alleviating Tracking Model Degradation Using Interpolation-Based Progressive Updating.
Record Nr. UNISA-996465347403316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Domain Adaptation for Visual Understanding / / edited by Richa Singh, Mayank Vatsa, Vishal M. Patel, Nalini Ratha
Domain Adaptation for Visual Understanding / / edited by Richa Singh, Mayank Vatsa, Vishal M. Patel, Nalini Ratha
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (X, 144 p. 62 illus., 56 illus. in color.)
Disciplina 006.6869
Soggetto topico Optical data processing
Artificial intelligence
Computational intelligence
Image Processing and Computer Vision
Artificial Intelligence
Computational Intelligence
ISBN 3-030-30671-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Domain Adaptation for Visual Understanding -- M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning -- XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings -- Improving Transferability of Deep Neural Networks -- Cross Modality Video Segment Retrieval with Ensemble Learning -- On Minimum Discrepancy Estimation for Deep Domain Adaptation -- Multi-Modal Conditional Feature Enhancement for Facial Action Unit Recognition -- Intuition Learning -- Alleviating Tracking Model Degradation Using Interpolation-Based Progressive Updating.
Record Nr. UNINA-9910373924303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Innovations in Electronics and Communication Engineering [[electronic resource] ] : Proceedings of the 6th ICIECE 2017 / / edited by H. S. Saini, Ravi Kishore Singh, Vishal M. Patel, K. Santhi, S.V. Ranganayakulu
Innovations in Electronics and Communication Engineering [[electronic resource] ] : Proceedings of the 6th ICIECE 2017 / / edited by H. S. Saini, Ravi Kishore Singh, Vishal M. Patel, K. Santhi, S.V. Ranganayakulu
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (505 pages)
Disciplina 621.3
Collana Lecture Notes in Networks and Systems
Soggetto topico Electrical engineering
Signal processing
Image processing
Speech processing systems
Power electronics
Communications Engineering, Networks
Signal, Image and Speech Processing
Power Electronics, Electrical Machines and Networks
ISBN 981-10-8204-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Conference Organizing Committee -- About the Editor -- Table of Contents -- 50 Papers -- Author Index.
Record Nr. UNINA-9910337620803321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Securing Social Identity in Mobile Platforms [[electronic resource] ] : Technologies for Security, Privacy and Identity Management / / edited by Thirimachos Bourlai, Panagiotis Karampelas, Vishal M. Patel
Securing Social Identity in Mobile Platforms [[electronic resource] ] : Technologies for Security, Privacy and Identity Management / / edited by Thirimachos Bourlai, Panagiotis Karampelas, Vishal M. Patel
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (269 pages)
Disciplina 005.8
Collana Advanced Sciences and Technologies for Security Applications
Soggetto topico Computers and civilization
System safety
Social sciences—Data processing
Social sciences—Computer programs
Computer crimes
Biometrics (Biology)
Computers and Society
Security Science and Technology
Computational Social Sciences
Cybercrime
Biometrics
ISBN 3-030-39489-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I – Mobile-based Privacy & Security -- Shared Images and Camera Fingerprinting May Lead to Privacy Issues -- Presentation Attacks in Mobile and Continuous Behavioral Biometric Systems -- Personalized Data Minimization Assurance using Bluetooth Low Energy -- Part II – Mobile-based Biometric Technologies -- On Designing a Forensic Toolkit for Rapid Detection of Factors that Impact Face Recognition Performance when Processing Large Scale Face Datasets -- Classification of Soft Biometric Traits when Matching Near-Infrared Long-range Face Images against their Visible Counterparts -- Quality and Match Performance Analysis of Band-Filtered Visible RGB Images -- Unconstrained Face Recognition using Cell Phone Devices: Faces in the Wild -- Face Detection in MWIR Spectrum -- Part III – Mobile-based Active Authentication -- Mobile Active Authentication based on Multiple Biometric and Behavioral Patterns -- Quickest Multiple User Active Authentication -- Iris Recognition on Mobile: Real-Time Feature Extraction and Matching in the Wild -- A Protocol for Decentralized Biometric-based Self-Sovereign Identity Ecosystem -- Towards Wider Adoption of Continuous Authentication on Mobile Devices.
Record Nr. UNISA-996465445203316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Securing Social Identity in Mobile Platforms : Technologies for Security, Privacy and Identity Management / / edited by Thirimachos Bourlai, Panagiotis Karampelas, Vishal M. Patel
Securing Social Identity in Mobile Platforms : Technologies for Security, Privacy and Identity Management / / edited by Thirimachos Bourlai, Panagiotis Karampelas, Vishal M. Patel
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (269 pages)
Disciplina 005.8
Collana Advanced Sciences and Technologies for Security Applications
Soggetto topico Computers and civilization
System safety
Social sciences—Data processing
Social sciences—Computer programs
Computer crimes
Biometrics (Biology)
Computers and Society
Security Science and Technology
Computational Social Sciences
Cybercrime
Biometrics
ISBN 3-030-39489-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I – Mobile-based Privacy & Security -- Shared Images and Camera Fingerprinting May Lead to Privacy Issues -- Presentation Attacks in Mobile and Continuous Behavioral Biometric Systems -- Personalized Data Minimization Assurance using Bluetooth Low Energy -- Part II – Mobile-based Biometric Technologies -- On Designing a Forensic Toolkit for Rapid Detection of Factors that Impact Face Recognition Performance when Processing Large Scale Face Datasets -- Classification of Soft Biometric Traits when Matching Near-Infrared Long-range Face Images against their Visible Counterparts -- Quality and Match Performance Analysis of Band-Filtered Visible RGB Images -- Unconstrained Face Recognition using Cell Phone Devices: Faces in the Wild -- Face Detection in MWIR Spectrum -- Part III – Mobile-based Active Authentication -- Mobile Active Authentication based on Multiple Biometric and Behavioral Patterns -- Quickest Multiple User Active Authentication -- Iris Recognition on Mobile: Real-Time Feature Extraction and Matching in the Wild -- A Protocol for Decentralized Biometric-based Self-Sovereign Identity Ecosystem -- Towards Wider Adoption of Continuous Authentication on Mobile Devices.
Record Nr. UNINA-9910409662603321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Video-based face recognition via joint sparse representation / / Yi-Chen Chen; Vishal M. Patel; Sumit Shekhar; Rama Chellappa; P. Jonathon Phillips
Video-based face recognition via joint sparse representation / / Yi-Chen Chen; Vishal M. Patel; Sumit Shekhar; Rama Chellappa; P. Jonathon Phillips
Autore Chen Yichen
Pubbl/distr/stampa Gaithersburg, MD : , : U.S. Dept. of Commerce, National Institute of Standards and Technology, , 2013
Descrizione fisica 1 online resource
Altri autori (Persone) ChellappaRama
ChenYichen
PatelVishal M
PhillipsP. Jonathon
ShekharSumit
Collana NISTIR
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910710736803321
Chen Yichen  
Gaithersburg, MD : , : U.S. Dept. of Commerce, National Institute of Standards and Technology, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui