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 | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
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 |
Computer vision
Artificial intelligence Computational intelligence Computer Vision Artificial Intelligence Computational Intelligence |
| ISBN |
9783030306717
3030306712 |
| 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 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine Intelligence and Signal Processing [[electronic resource] /] / edited by Richa Singh, Mayank Vatsa, Angshul Majumdar, Ajay Kumar
| Machine Intelligence and Signal Processing [[electronic resource] /] / edited by Richa Singh, Mayank Vatsa, Angshul Majumdar, Ajay Kumar |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | New Delhi : , : Springer India : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (169 p.) |
| Disciplina | 006.31 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Signal processing Image processing Speech processing systems Optical data processing Computational Intelligence Signal, Image and Speech Processing Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 81-322-2625-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Advancing Cross-spectral Iris Recognition Research using Bi-spectral Imaging -- Chapter 2. Fast 3D Salient Region Detection in Medical Images using GPUs -- Chapter 3. Recovering Partially Sampled EEG Signals using Learned Dictionaries -- Chapter 4. Greedy Algorithms for Non-linear Sparse Recovery -- Chapter 5. Improving Rating Predictions by Baseline Estimation and Single Pass Low-rank Approximation -- Chapter 6. Reducing Inter-scanner Variability in Multi-site fMRI Activations using Correction Functions: A Preliminary Study -- Chapter 7. Genetically Modified Logistic Regression with Radial Basis Function for Robust Software Effort Prediction -- Chapter 8. Missing Data Interpolation using Compressive Sensing: An Application for Sales Data Gathering -- Chapter 9. Retinal Vessel Classification based on Maximization of Squared-loss Mutual Information -- Chapter 10. Retinal Blood Vessel Extraction and Optic Disc Removal using Curvelet Transform and Morphological Operation -- Chapter 11. Adaptive Skin Color Model to Improve Video Face Detection -- Chapter 12. Automated Spam Detection in Short Text Messages -- Chapter 13. Domain Adaptation for Face Detection -- Chapter 14. Comparative Study of Pre-processing and Classification Methods in Character Recognition of Natural Scene Images. |
| Record Nr. | UNINA-9910254207803321 |
| New Delhi : , : Springer India : , : Imprint : Springer, , 2016 | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD) / / Edited by Sriraam Natarajan, Indrajit Bhattacharya, Richa Singh, Arun Kumar, Sayan Ranu, Kalika Bali, Abinaya K
| Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD) / / Edited by Sriraam Natarajan, Indrajit Bhattacharya, Richa Singh, Arun Kumar, Sayan Ranu, Kalika Bali, Abinaya K |
| Pubbl/distr/stampa | Association for Computing Machinery, 2024 |
| Descrizione fisica | 1 online resource (627 p.;) |
| Altri autori (Persone) |
NatarajanSriraam
BhattacharyaIndrajit SinghRicha KumarArun RanuSayan BaliKalika KAbinaya |
| Collana | ACM Other conferences |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ||| |
| Altri titoli varianti | Proceedings of the 7th Joint International Conference on Data Science & Management of Data |
| Record Nr. | UNISA-996574157903316 |
| Association for Computing Machinery, 2024 | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD) / / Edited by Sriraam Natarajan, Indrajit Bhattacharya, Richa Singh, Arun Kumar, Sayan Ranu, Kalika Bali, Abinaya K
| Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD) / / Edited by Sriraam Natarajan, Indrajit Bhattacharya, Richa Singh, Arun Kumar, Sayan Ranu, Kalika Bali, Abinaya K |
| Pubbl/distr/stampa | Association for Computing Machinery, 2024 |
| Descrizione fisica | 1 online resource (627 p.;) |
| Altri autori (Persone) |
NatarajanSriraam
BhattacharyaIndrajit SinghRicha KumarArun RanuSayan BaliKalika KAbinaya |
| Collana | ACM Other conferences |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ||| |
| Altri titoli varianti | Proceedings of the 7th Joint International Conference on Data Science & Management of Data |
| Record Nr. | UNINA-9910799282703321 |
| Association for Computing Machinery, 2024 | ||
| Lo trovi qui: Univ. Federico II | ||
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