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1. |
Record Nr. |
UNINA9910957090903321 |
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Titolo |
The Diaries of the Maryknoll Sisters in Hong Kong, 1921-1966 / / edited by C. Chu |
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Pubbl/distr/stampa |
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New York : , : Palgrave Macmillan US : , : Imprint : Palgrave Macmillan, , 2007 |
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ISBN |
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9786611363321 |
9781281363329 |
1281363324 |
9780230604179 |
023060417X |
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Edizione |
[1st ed. 2007.] |
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Descrizione fisica |
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1 online resource (254 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Religion - History |
Ethnology - Asia |
Culture |
Asia - History |
Social history |
Civilization - History |
Asia - Politics and government |
History of Religion |
Asian Culture |
Asian History |
Social History |
Cultural History |
Asian Politics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. [221]-232) and index. |
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Nota di contenuto |
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Cover; Contents; Preface; Chapter One: Introduction; Chapter Two: The 1920's, People and Weather; Chapter Three: The 1930's, Schools, Visitors, and Visits; Chapter Four: Advent of Japanese, 1938-1941; |
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Chapter Five: Japanese Occupation and Internment, 1941-1942; Chapter Six: In and Out of the Camp, Releases, and Repatriation, 1941-1942; Chapter Seven: Postwar Years, the 1950's, the Early 1960's, and Refugees; Chapter Eight: Resettlement Areas in the 1950's and the 1960's; Chapter Nine: Conclusion; Notes; Bibliography; Index |
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Sommario/riassunto |
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This book is a documentary survey of Hong Kong history, from the 1920s to the mid-1960s, from the perspective of the Maryknoll Sisters, as recorded in their diaries written during that period. It is a priceless collection of first-hand materials on the social history of Hong Kong. |
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2. |
Record Nr. |
UNISA996641267303316 |
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Autore |
Ide Ichiro |
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Titolo |
MultiMedia Modeling : 31st International Conference on Multimedia Modeling, MMM 2025, Nara, Japan, January 8–10, 2025, Proceedings, Part IV / / edited by Ichiro Ide, Ioannis Kompatsiaris, Changsheng Xu, Keiji Yanai, Wei-Ta Chu, Naoko Nitta, Michael Riegler, Toshihiko Yamasaki |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (485 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 15523 |
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Altri autori (Persone) |
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KompatsiarisYiannis |
XuChangsheng |
YanaiKeiji |
ChuWei-Ta |
NittaNaoko |
RieglerMichael |
YamasakiToshihiko |
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Disciplina |
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Soggetti |
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Computer vision |
Image processing - Digital techniques |
Signal processing |
Pattern recognition systems |
Application software |
Information storage and retrieval systems |
Computer Vision |
Computer Imaging, Vision, Pattern Recognition and Graphics |
Signal, Speech and Image Processing |
Automated Pattern Recognition |
Computer and Information Systems Applications |
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Information Storage and Retrieval |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Regular Papers -- SES-Net: Multi-dimensional Spot-Edge-Surface Network for Nuclei Segmentation -- Skin-Adapter: Fine-Grained Skin-Color Preservation for Text-to-Image Generation -- Small Tunes Transformer: Exploring Macro & Micro-Level Hierarchies for Skeleton-Conditioned Melody Generation -- SMG-Diff: Adversarial Attack Method Based on Semantic Mask-Guided Diffusion -- SPLGAN-TTS:Learning Semantic and Prosody to Enhance the Text-to-Speech Quality of Lightweight GAN Models -- SSCDUF: Spatial-Spectral Correlation Transformer Based on Deep Unfolding Framework for Hyperspectral Image Reconstruction -- SSDL: Sensor-to-Skeleton Diffusion Model with Lipschitz Regularization for Human Activity Recognition -- Structural Information-guided Fine-grained Texture Image Inpainting -- Style Separation and Content Recovery for Generalizable Sketch Re-identification and A New Benchmark -- Synchronization and Calibration of Video Sequences acquired using Multiple Plenoptic 2.0 Cameras -- Target-Oriented Dynamic Denosing Curriculum Learning for Multimodel Stance Detection -- TDM: Temporally-Consistent Diffusion Model for All-in-One Real-World Video Restoration -- Temporal Closeness for Enhanced Cross-Modal Retrieval of Sensor and Image Data -- The Right to an Explanation under the GDPR and the AI Act -- Toward Appearance-based, Autonomous Landing Site Identification for Multirotor Drones in Unstructured Environments -- Towards Inclusive Education: Multimodal Classification of Textbook Images for Accessibility -- Towards Visual Storytelling by Understanding Narrative Context through Scene-Graphs -- TPS-YOLO: The Efficient Tiny Person Detection Network Based on Improved YOLOv8 and Model Pruning -- Uncertainty-guided Joint Semi-supervised Segmentation and Registration of Cardiac Images -- Understanding the Roles of Visual Modality in Multimodal Dialogue: An Empirical Study -- Vision-Language Pretraining for Variable-shot Image Classification -- Visual Anomaly Detection on Topological Connectivity under Improved YOLOv8 -- Wavelet Integrated Convolutional Neural Network for ECG Signal Denoising -- WavFusion: Towards wav2vec 2.0 Multimodal Speech Emotion Recognition -- Zero-shot Sketch-based Image Retrieval with Hybrid Information Fusion and Sample Relationship Modeling -- Special Session: ExpertSUM: Special Session on Expert-Level Text Summarization from Fine-Grained Multimedia Analytics -- CalorieVoL: Integrating Volumetric Context into Multimodal Large Language Models for Image-based Calorie Estimation -- Can Masking Background and Object Reduce Static Bias for Zero-shot Action Recognition? -- Special Session: MLLMA: Special Session on Multimodal Large Language Models and Applications -- Enhanced Anomaly Detection in 3D Motion through Language-Inspired Occlusion-Aware Modeling -- Evaluating VQA Models' Consistency in the Scientific Domain -- Image2Text2Image: A Novel Framework for Label-Free Evaluation of Image-to-Text Generation with Text-to-Image Diffusion Models -- Quantifying Image-Adjective Associations by Leveraging |
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Large-Scale Pretrained Models -- TACST: Time-Aware Transformer for Robust Speech Emotion Recognition -- TS-MEFM: A New Multimodal Speech Emotion Recognition Network Based on Speech and Text Fusion. |
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Sommario/riassunto |
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This five-volume set LNCS 15520-15524 constitutes the proceedings of the 31st International Conference on Multimedia Modeling, MMM 2025, held in Nara, Japan, January 8–10, 2025. The 135 full papers and 41 short papers presented in these proceedings were carefully reviewed and selected from 348 submissions. The MMM conference was organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods. |
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