00938nam a22002411i 450099100093689970753620021219181421.0021107s1933 gr |||||||||||||||||gre b1207651x-39ule_instARCHE-016631ExLDip.to Filologia Ling. e Lett.itaA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l.Balanos, Demetrios Simos450037Christougenna Prote Ianouariou-Theophania2. ekd.Athena :Kentrike Polesis,193380 p. ;19 cmSyllogos pros diadosin ophelimon biblion ;35.b1207651x28-04-1701-04-03991000936899707536LE008 FL.M. Neogr. 7441LE008N-4908le008-E0.00-no 00000.i1237461101-04-03Christougenna Prote Ianouariou-Theophania137981UNISALENTOle00801-04-03ma -gregr 0103040nam 22005893 450 991100925380332120250716014708.09781743823644(electronic bk.)9781760644987(MiAaPQ)EBC31172497(Au-PeEL)EBL31172497(CKB)32460313800041(Exl-AI)31172497(ODN)ODN0010960863(OCoLC)1443085385(EXLCZ)993246031380004120240627d2024 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierBina First Nations Languages, Old and New1st ed.2024Collingwood :Black Inc.,2024.©2024.1 online resource (299 pages)1-76064-498-6 Cover Page -- Title Page -- Copyright -- Contents -- Foreword -- Introduction -- Chapter One: Biriwalgal -- Chapter Two: Wangka! -- Chapter Three: Ngapartji Ngapartji -- Chapter Four: Jalany -- Chapter Five: Kriol en Yumplatok -- Chapter Six: Which way? Blackfulla way -- Chapter Seven: Mix ’em up -- Chapter Eight: Gulaman -- Chapter Nine: Dhiirrali -- Chapter Ten: Miil -- Chapter Eleven: Yamba -- Acknowledgements -- About the cover artwork -- Notes -- Works cited -- Index -- Back CoverGenerated by AI.This book explores the rich diversity and resilience of First Nations languages in Australia, highlighting the profound impact of European colonization on Indigenous linguistic heritage. It delves into the historical suppression and recent revival efforts of these languages, emphasizing their cultural significance and the vital role they play in connecting Indigenous communities to their land and heritage. The work is authored by distinguished scholars Gari Tudor-Smith, Paul Williams, and Felicity Meakins, aiming to educate a general audience on the importance of language conservation and reclamation. It provides a comprehensive overview of the cultural and historical contexts of First Nations languages while advocating for their preservation and revitalization.Generated by AI.Language - MaintenanceaiatsissLanguage - Classification and evolutionaiatsissIndigenous peoplesLanguagesGenerated by AILanguage revivalGenerated by AIAustraliahttp://id.loc.gov/rwo/agents/n79021326AustralieLanguage - Maintenance.Language - Classification and evolution.Indigenous peoplesLanguagesLanguage revival499/.15FOR032000SOC062000bisacshTudor-Smith Gari1826817Williams Paul441408Meakins Felicity1199926MiAaPQMiAaPQMiAaPQ9911009253803321Bina4394818UNINA05657nam 22008535 450 99663566570331620250626164447.09783031729133303172913710.1007/978-3-031-72913-3(MiAaPQ)EBC31810942(Au-PeEL)EBL31810942(CKB)36738888700041(DE-He213)978-3-031-72913-3(OCoLC)1477225298(EXLCZ)993673888870004120241202d2025 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierComputer Vision – ECCV 2024 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXXVII /edited by Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (591 pages)Lecture Notes in Computer Science,1611-3349 ;150959783031729126 3031729129 EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval -- Synchronization of Projective Transformations -- TLControl: Trajectory and Language Control for Human Motion Synthesis -- Insect Identification in the Wild: The AMI Dataset -- Cross-view image geo-localization with Panorama-BEV Co-Retrieval Network -- F-HOI: Toward Fine-grained Semantic-Aligned 3D Human-Object Interactions -- Test-time Model Adaptation for Image Reconstruction Using Self-supervised Adaptive Layers -- SHIC: Shape-Image Correspondences with no Keypoint Supervision -- GenRC: Generative 3D Room Completion from Sparse Image Collections -- A Probability-guided Sampler for Neural Implicit Surface Rendering -- ReMatching: Low-Resolution Representations for Scalable Shape Correspondence -- Where am I? Scene Retrieval with Language -- This Probably Looks Exactly Like That: An Invertible Prototypical Network -- Arc2Face: A Foundation Model for ID-Consistent Human Faces -- PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations -- Revisiting Feature Disentanglement Strategy in Diffusion Training and Breaking Conditional Independence Assumption in Sampling -- SweepNet: Unsupervised Learning Shape Abstraction via Neural Sweepers -- Leveraging Thermal Modality to Enhance Reconstruction in Low-Light Conditions -- On the Viability of Monocular Depth Pre-training for Semantic Segmentation -- Fairness-aware Vision Transformer via Debiased Self-Attention -- EgoPet: Egomotion and Interaction Data from an Animal's Perspective -- Deep Companion Learning: Enhancing Generalization Through Historical Consistency -- Neural graphics texture compression supporting random access -- Contrastive Learning with Synthetic Positives -- GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features -- Interpretability-Guided Test-Time Adversarial Defense -- DIM: Dyadic Interaction Modeling for Social Behavior Generation.The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.Lecture Notes in Computer Science,1611-3349 ;15095Image processingDigital techniquesComputer visionImage processingComputer networksUser interfaces (Computer systems)Human-computer interactionMachine learningComputers, Special purposeComputer Imaging, Vision, Pattern Recognition and GraphicsImage ProcessingComputer Communication NetworksUser Interfaces and Human Computer InteractionMachine LearningSpecial Purpose and Application-Based SystemsImage processingDigital techniques.Computer vision.Image processing.Computer networks.User interfaces (Computer systems)Human-computer interaction.Machine learning.Computers, Special purpose.Computer Imaging, Vision, Pattern Recognition and Graphics.Image Processing.Computer Communication Networks.User Interfaces and Human Computer Interaction.Machine Learning.Special Purpose and Application-Based Systems.006Leonardis Aleš1757791Ricci Elisa216674Roth Ștefan0Russakovsky Olga1767663Sattler Torsten1767664Varol Gül1767665MiAaPQMiAaPQMiAaPQBOOK996635665703316Computer Vision – ECCV 20244213977UNISA