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Academic Press library in signal processing . Volume 7 Array, radar and communications engineering / / edited by Rama Chellappa, Sergios Theodoridis
| Academic Press library in signal processing . Volume 7 Array, radar and communications engineering / / edited by Rama Chellappa, Sergios Theodoridis |
| Pubbl/distr/stampa | London, England : , : Academic Press, , 2018 |
| Descrizione fisica | 1 online resource (654 pages) : illustrations (some color), graphs |
| Disciplina | 621.3822 |
| Soggetto topico | Signal processing |
| ISBN |
0-12-811888-1
0-12-811887-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Holistic radar waveform diversity / Shannon D. Bliunt, John Jakabosky, Patrick McCormick, Peng Seng Tan, Justin G. Metcalf -- Geometric foundations for radar signal processing / Kevin J. Sangston -- Foundations of cognitive radar for next-generation radar systems / Nathan A. Goodman -- Parameter bounds under misspecified models for adaptive radar detection / Stefano Fortunati, Fulvio Gini, Maria S. Greco -- Multistatic radar systems / Daniel W. O'Hagan, Shaun R. Doughty, Michael R. Inggs -- Sparsity-based radar techniques / Matthias Weiss -- Millimeter-wave radar systems and techniques / Akram Al-Hourani, Robin J. Evans, Peter M. Farrell, Bill Moran, Marco Martorella, Sithamparanathan Kandeepan, Stan Skafidas, Udaya Parampalli -- Signal processing for Massive MIMO Communications / Muhammad R.A. Khandaker, Kai-Kit Wong -- Recent advances in distributed beamforming / Shahram ShahbazPanahi, Yindi Jing -- Transmit beamforming for simultaneous wireless information and power transfer / Liang Liu, Jie Xu, Rui Zhang -- Sparse methods for direction-of-arrival estimation / Zai Yang, Jian Li, Petre Stoica, Lihua Xie -- Beamforming techniques using microphone arrays / Rohith Mars, Vaninirappuputhenpurayil Gopalan Reju, Andy W.H. Khong, Yusuke Hioka, Kenta Niwa. |
| Record Nr. | UNINA-9910583037303321 |
| London, England : , : Academic Press, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Academic Press Library in signal processing . Volume 6 Image and video processing and analysis and computer vision / / edited by Rama Chellappa, Sergios Theodoridis
| Academic Press Library in signal processing . Volume 6 Image and video processing and analysis and computer vision / / edited by Rama Chellappa, Sergios Theodoridis |
| Pubbl/distr/stampa | London, England : , : Academic Press, , 2018 |
| Descrizione fisica | 1 online resource (460 pages) : illustrations (some color), photographs |
| Disciplina | 006.38 |
| Soggetto topico | Natural computation |
| ISBN |
0-12-811900-4
0-12-811889-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Multiview video : acquisition, processing, compression, and virtual view rendering / Olgierd Stankiewicz, Gauthier Lafruit and Marek Domański -- Plenoptic imaging : representation and processing / Fernando Pereira, Eduardo A.B. da Silva and Gauthier Lafruit -- Visual attention, visual salience, and perceived interest in multimedia applications / Yashas Rai and Patrick Le Callet -- Emerging science of QoE in multimedia applications : concepts, experimental guidelines, and validation of models / Lukáš Krasula and Patrick Le Callet -- Computational photography / Ashok Veeraraghavan, Aswin C. Sankaranarayanan and Adithya K. Pediredla -- Face detection with a 3D model / Adrian Barbu, Nathan Lay and Gary Gramajo -- A survey on nonrigid 3D shape analysis / Hamid Laga -- Markov models and MCMC algorithms in image processing / Xavier Descombes -- Scalable image informatics / Dmitry Fedorov, B.S. Manjunath, Christian A. Lang and Kristian Kvilekval -- Person re-identification / Marco Cristani and Vittorio Murino -- Social network inference in videos / Ashish Gupta and Alper Yilmaz. |
| Record Nr. | UNINA-9910583037203321 |
| London, England : , : Academic Press, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Deep learning-based face analytics / / Nalini K. Ratha, Vishal M. Patel, Rama Chellappa, editors
| Deep learning-based face analytics / / Nalini K. Ratha, Vishal M. Patel, Rama Chellappa, editors |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (VI, 407 p. 182 illus., 169 illus. in color.) |
| Disciplina | 006.37 |
| Collana | Advances in Computer Vision and Pattern Recognition |
| Soggetto topico |
Human face recognition (Computer science)
Machine learning |
| ISBN | 3-030-74697-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Deep CNN Face Recognition: Looking at the Past and the Future -- 2. Face Segmentation, Face Swapping, and Their Effect on Face Recognition -- 3. Disentangled Representation Learning and its Application to Face Analytics -- 4. Learning 3D Face Morphable Model from In-the-wild Images -- 5. Deblurring Face Images using Deep Networks -- 6. Blind-Superresolution of Faces for Surveillance -- 7. Hashing a Face. |
| Record Nr. | UNINA-9910495352903321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Deep learning-based face analytics / / Nalini K. Ratha, Vishal M. Patel, Rama Chellappa, editors
| Deep learning-based face analytics / / Nalini K. Ratha, Vishal M. Patel, Rama Chellappa, editors |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (VI, 407 p. 182 illus., 169 illus. in color.) |
| Disciplina | 006.37 |
| Collana | Advances in Computer Vision and Pattern Recognition |
| Soggetto topico |
Human face recognition (Computer science)
Machine learning |
| ISBN | 3-030-74697-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Deep CNN Face Recognition: Looking at the Past and the Future -- 2. Face Segmentation, Face Swapping, and Their Effect on Face Recognition -- 3. Disentangled Representation Learning and its Application to Face Analytics -- 4. Learning 3D Face Morphable Model from In-the-wild Images -- 5. Deblurring Face Images using Deep Networks -- 6. Blind-Superresolution of Faces for Surveillance -- 7. Hashing a Face. |
| Record Nr. | UNISA-996464392103316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Face processing [[electronic resource] ] : advanced modeling and methods / / edited by Wenyi Zhao and Rama Chellappa
| Face processing [[electronic resource] ] : advanced modeling and methods / / edited by Wenyi Zhao and Rama Chellappa |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier / Academic Press, c2006 |
| Descrizione fisica | 1 online resource (755 p.) |
| Disciplina |
006.37
006.37 22 |
| Altri autori (Persone) |
ZhaoWenyi
ChellappaRama |
| Soggetto topico |
Human face recognition (Computer science)
Biometric identification - Research |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-05319-8
9786611053192 0-08-048884-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; FACE PROCESSING: Advanced Modeling and Methods; Copyright Page; Contents; Contributors; Preface; PART I: THE BASICS; Chapter 1. A Guided Tour of Face Processing; Chapter 2. Eigenfaces and Beyond; Chapter 3. Introduction to the Statistical Evaluation of Face-Recognition Algorithms; PART II: FACE MODELING; COMPUTATIONAL ASPECTS; Chapter 4. 3D Morphable Face Model, a Unified Approach for Analysis and Synthesis of Images; Chapter 5. Expression-Invariant Three-Dimensional Face Recognition; Chapter 6. 3D Face Modeling From Monocular Video Sequences
Chapter 7. Face Modeling by Information MaximizationPSYCHOPHYSICAL ASPECTS; Chapter 8. Face Recognition by Humans; Chapter 9. Predicting Human Performance for Face Recognition; Chapter 10. Spatial Distribution of Face and Object Representations in the Human Brain; PART III: ADVANCED METHODS; Chapter 11. On the Effect of Illumination and Face Recognition; Chapter 12. Modeling Illumination Variation with Spherical Harmonics; Chapter 13. A Multisubregion-Based Probabilistic Approach Toward Pose-Invariant Face Recognition Chapter 14. Morphable Models for Training a Component-Based Face-Recognition SystemChapter 15. Model-Based Face Modeling and TrackingWith Application to Videoconferencing; Chapter 16. A survey of 3D and Multimodal 3D+2D Face Recognition; Chapter 17. Beyond One Still Image: Face Recognition from Multiple Still Images or Video Sequence; Chapter 18. Subset Modeling of Face Localization Error, Occlusion, and Expression; Chapter 19. Near Real-time Robust Face and Facial-Feature Detection with Information-Based Maximum Discrimination Chapter 20. Current Landscape of Thermal Infrared Face RecognitionChapter 21. Multimodal Biometrics: Augmenting Face With Other Cues; Index |
| Record Nr. | UNINA-9910458493703321 |
| Amsterdam ; ; Boston, : Elsevier / Academic Press, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Face processing [[electronic resource] ] : advanced modeling and methods / / edited by Wenyi Zhao and Rama Chellappa
| Face processing [[electronic resource] ] : advanced modeling and methods / / edited by Wenyi Zhao and Rama Chellappa |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier / Academic Press, c2006 |
| Descrizione fisica | 1 online resource (755 p.) |
| Disciplina |
006.37
006.37 22 |
| Altri autori (Persone) |
ZhaoWenyi
ChellappaRama |
| Soggetto topico |
Human face recognition (Computer science)
Biometric identification - Research |
| ISBN |
1-281-05319-8
9786611053192 0-08-048884-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; FACE PROCESSING: Advanced Modeling and Methods; Copyright Page; Contents; Contributors; Preface; PART I: THE BASICS; Chapter 1. A Guided Tour of Face Processing; Chapter 2. Eigenfaces and Beyond; Chapter 3. Introduction to the Statistical Evaluation of Face-Recognition Algorithms; PART II: FACE MODELING; COMPUTATIONAL ASPECTS; Chapter 4. 3D Morphable Face Model, a Unified Approach for Analysis and Synthesis of Images; Chapter 5. Expression-Invariant Three-Dimensional Face Recognition; Chapter 6. 3D Face Modeling From Monocular Video Sequences
Chapter 7. Face Modeling by Information MaximizationPSYCHOPHYSICAL ASPECTS; Chapter 8. Face Recognition by Humans; Chapter 9. Predicting Human Performance for Face Recognition; Chapter 10. Spatial Distribution of Face and Object Representations in the Human Brain; PART III: ADVANCED METHODS; Chapter 11. On the Effect of Illumination and Face Recognition; Chapter 12. Modeling Illumination Variation with Spherical Harmonics; Chapter 13. A Multisubregion-Based Probabilistic Approach Toward Pose-Invariant Face Recognition Chapter 14. Morphable Models for Training a Component-Based Face-Recognition SystemChapter 15. Model-Based Face Modeling and TrackingWith Application to Videoconferencing; Chapter 16. A survey of 3D and Multimodal 3D+2D Face Recognition; Chapter 17. Beyond One Still Image: Face Recognition from Multiple Still Images or Video Sequence; Chapter 18. Subset Modeling of Face Localization Error, Occlusion, and Expression; Chapter 19. Near Real-time Robust Face and Facial-Feature Detection with Information-Based Maximum Discrimination Chapter 20. Current Landscape of Thermal Infrared Face RecognitionChapter 21. Multimodal Biometrics: Augmenting Face With Other Cues; Index |
| Record Nr. | UNINA-9910784547903321 |
| Amsterdam ; ; Boston, : Elsevier / Academic Press, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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An information theoretic evaluation criterion for 3D reconstruction algorithms / / Rama Chellappa, Amit K. Roy Chowdhury
| An information theoretic evaluation criterion for 3D reconstruction algorithms / / Rama Chellappa, Amit K. Roy Chowdhury |
| Autore | Chellappa Rama |
| Pubbl/distr/stampa | Gaithersburg, MD : , : U.S. Dept. of Commerce, National Institute of Standards and Technology, , 2004 |
| Descrizione fisica | 1 online resource |
| Altri autori (Persone) |
ChellappaRama
Roy-ChowdhuryAmit K |
| Collana | NIST special publication |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910711171303321 |
Chellappa Rama
|
||
| Gaithersburg, MD : , : U.S. Dept. of Commerce, National Institute of Standards and Technology, , 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XXVIII / / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal
| Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XXVIII / / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal |
| Autore | Antonacopoulos Apostolos |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (501 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
ChaudhuriSubhasis
ChellappaRama LiuCheng-Lin BhattacharyaSaumik PalUmapada |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Machine learning Computer Vision Machine Learning |
| ISBN |
9783031781049
303178104X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Optimizing Personalized Robot Actions with Ranking of Trajectories -- Synthesizing operationally safe controllers for human-in-the-loop human-in-the-plant hybrid close loop systems -- Multi-Frequency Fine-Grained Matching for Audio-Visual Segmentation -- Confidence-Guided Feature Alignment for Cloth-Changing Person Re-identification -- Fair Latent Representation Learning with Adaptive Reweighing -- FineFACE: Fair Facial Attribute Classification Leveraging Fine-grained Features -- One-factor Cancelable Biometric Template Protection Scheme for Real-valued Features -- Multi-Teacher Invariance Distillation for Domain-Generalized Action Recognition -- ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-based Human Activity Recognition -- Spatio-Temporal Domain-Aware Network for Skeleton-based Action Representation Learning -- Project and Pool: An Action Localization network for localizing actions in Untrimmed Videos -- Multi-Teacher Importance Preserving Knowledge Distillation for Early Violence Prediction -- Improving Temporal Action Segmentation and Detection with Hierarchical Task Grammar -- Hybrid Human Action Anomaly Detection based on Lightweight GNNs and Machine Learning -- Zero-Shot Spatio-Temporal Action Detection by Enhancing Context-Relation Capability of Vision-Language Models -- Nonlinear progressive denoising: a universal regularized denoising strategy for low PSNR images -- Unified-EGformer: Exposure Guided Lightweight Transformer for Mixed-Exposure Image Enhancement -- Composite Concept Extraction through Backdooring -- Guided SAM: Label-Efficient Part Segmentation -- Multidimensional Cross-Reconstructed Networks for Few-Shot Fine-Grained Image Classification -- Symmetric masking strategy enhances the performance of Masked Image Modeling -- Multiplicative RMSprop using gradient normalization for learning acceleration -- TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference using Transformer Nearest-Centroid Embeddings -- Evidential Federated Learning for Skin Lesion Image Classification -- Adaptive Text Feature Updating for Visual-Language Tracking -- TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Prediction -- Principal Graph Neighborhood Aggregation for Underwater Moving Object Detection -- Dynamic Loss Decay based Robust Oriented Object Detection on Remote Sensing Images with Noisy Labels -- Environment-Independent Fusion for Robust Object Detection in Adverse Environments -- Transformer-based RGB and LiDAR Fusion for Enhanced Object Detection. |
| Record Nr. | UNINA-9910983378703321 |
|
Antonacopoulos Apostolos
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XV / / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal
| Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XV / / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal |
| Autore | Antonacopoulos Apostolos |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (530 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
ChaudhuriSubhasis
ChellappaRama LiuCheng-Lin BhattacharyaSaumik PalUmapada |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Machine learning Computer Vision Machine Learning |
| ISBN |
9783031783548
3031783549 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910983315403321 |
|
Antonacopoulos Apostolos
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XVIII / / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal
| Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XVIII / / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal |
| Autore | Antonacopoulos Apostolos |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (525 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
ChaudhuriSubhasis
ChellappaRama LiuCheng-Lin BhattacharyaSaumik PalUmapada |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Machine learning Computer Vision Machine Learning |
| ISBN |
9783031784569
3031784561 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910983492203321 |
|
Antonacopoulos Apostolos
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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