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UNINA990007366670403321 |
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Autore |
Jannaccone, Costantino <1883-1962> |
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Titolo |
Corso di diritto ecclesistico / Costantino Jannaccone |
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Pubbl/distr/stampa |
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Descrizione fisica |
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Locazione |
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Collocazione |
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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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2. |
Record Nr. |
UNINA9910780286903321 |
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Autore |
Elmer Greg <1967-> |
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Titolo |
Profiling machines : mapping the personal information economy / / Greg Elmer |
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Pubbl/distr/stampa |
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Cambridge, Mass., : MIT Press, ©2004 |
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ISBN |
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0-262-27230-X |
1-4237-2537-9 |
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Descrizione fisica |
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1 online resource (191 pages) |
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Disciplina |
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Soggetti |
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Consumer profiling |
Privacy, Right of |
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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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Nota di bibliografia |
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Includes bibliographical references (pages [153]-168) and index. |
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Sommario/riassunto |
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The cultural and media studies perspectives on the technology of electronic consumer profiling.In this book Greg Elmer brings the perspectives of cultural and media studies to the subject of consumer |
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profiling and feedback technology in the digital economy. He examines the multiplicity of processes that monitor consumers and automatically collect, store, and cross-reference personal information. When we buy a book at Amazon.com or a kayak from L.L. Bean, our transactions are recorded, stored, and deployed to forecast our future behavior--thus we may receive solicitations to buy another book by the same author or the latest in kayaking gear. Elmer charts this process, explaining the technologies that make it possible and examining the social and political implications.Elmer begins by establishing a theoretical framework for his discussion, proposing a "diagrammatic approach" that draws on but questions Foucault's theory of surveillance. In the second part of the book, he presents the historical background of the technology of consumer profiling, including such pre-electronic tools as the census and the warranty card, and describes the software and technology in use today for demographic mapping. In the third part, he looks at two case studies--a marketing event sponsored by Molson that was held in the Canadian Arctic (contrasting the attendees and the indigenous inhabitants) and the use of "cookies" to collect personal information on the World Wide Web, which (along with other similar technologies) automate the process of information collection and cross-referencing. Elmer concludes by considering the politics of profiling, arguing that we must begin to question our everyday electronic routines. |
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3. |
Record Nr. |
UNINA9910983489903321 |
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Autore |
Leonardis Aleš |
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Titolo |
Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXIII / / edited by Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : 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 (581 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 15081 |
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Altri autori (Persone) |
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RicciElisa |
RothȘtefan |
RussakovskyOlga |
SattlerTorsten |
VarolGül |
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Disciplina |
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Soggetti |
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Image processing - Digital 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 |
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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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Weak-to-Strong Compositional Learning from Generative Models for Language-based Object Detection -- Domesticating SAM for Breast |
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Ultrasound Image Segmentation via Spatial-frequency Fusion and Uncertainty Correction -- CanonicalFusion: Generating Drivable 3D Human Avatars from Multiple Images -- Camera Height Doesn't Change: Unsupervised Training for Metric Monocular Road-Scene Depth Estimation -- Uni3DL: A Unified Model for 3D Vision-Language Understanding -- Object-Aware NIR-to-Visible Translation -- PaPr: Training-Free One-Step Patch Pruning with Lightweight ConvNets for Faster Inference -- GENIXER: Empowering Multimodal Large Language Models as a Powerful Data Generator -- BLINK: Multimodal Large Language Models Can See but Not Perceive -- AFF-ttention! Affordances and Attention models for Short-Term Object Interaction Anticipation -- PreLAR: World Model Pre-training with Learnable Action Representation -- Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot -- De-confounded Gaze Estimation -- Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions -- FreestyleRet: Retrieving Images from Style-Diversified Queries -- ReGround: Improving Textual and Spatial Grounding at No Cost -- CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos -- LaMI-DETR: Open-Vocabulary Detection with Language Model Instruction -- Unrolled Decomposed Unpaired Learning for Controllable Low-Light Video Enhancement -- Efficient Image Pre-Training with Siamese Cropped Masked Autoencoders -- VP-SAM: Taming Segment Anything Model for Video Polyp Segmentation via Disentanglement and Spatio-temporal Side Network -- Dataset Enhancement with Instance-Level Augmentations -- FreeMotion: MoCap-Free Human Motion Synthesis with Multimodal Large Language Models -- Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild -- Reliability in Semantic Segmentation: Can We Use Synthetic Data? -- SCPNet: Unsupervised Cross-modal Homography Estimation via Intra-modal Self-supervised Learning -- SCAPE: A Simple and Strong Category-Agnostic Pose Estimator. |
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Sommario/riassunto |
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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. They 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. |
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