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1. |
Record Nr. |
UNINA9910452183603321 |
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Autore |
Rouch Jean |
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Titolo |
Ciné-ethnography [[electronic resource] /] / Jean Rouch ; edited and translated by Steven Feld |
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Pubbl/distr/stampa |
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Minneapolis, : University of Minnesota Press, c2003 |
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ISBN |
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Descrizione fisica |
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1 online resource (410 p.) |
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Collana |
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Visible evidence ; ; v. 13 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Motion pictures in ethnology |
Ethnology - France |
Electronic books. |
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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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Essays and interviews translated from French. |
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Nota di bibliografia |
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Includes bibliographical references (p. 385-389) and index. |
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Nota di contenuto |
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Contents; Acknowledgments; Editor's Introduction; PART I. ESSAYS BY JEAN ROUCH; PART II. INTERVIEWS AND CONVERSATIONS WITH JEAN ROUCH; PART III. CHRONICLE OF A SUMMER : A FILM BOOK BY JEAN ROUCH AND EDGAR MORIN; PART IV. WORKS BY JEAN ROUCH; Publication Information; Index |
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Sommario/riassunto |
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Edited and translated by Steven FeldJean Rouch has made more than one hundred documentary films in West Africa and France, pioneered numerous film techniques and technologies, and in the process inspired generations of filmmakers. Ciné-Ethnography is a long-overdue English-language resource that collects Rouch's key writings, interviews, and other materials that distill his thinking on filmmaking, ethnography, and his own career. |
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2. |
Record Nr. |
UNISA996466570403316 |
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Titolo |
Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010. Proceedings, Part II / / edited by José L. Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
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ISBN |
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1-280-38919-2 |
9786613567116 |
3-642-15883-8 |
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Edizione |
[1st ed. 2010.] |
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Descrizione fisica |
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1 online resource (XXI, 518 p. 145 illus.) |
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Collana |
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Lecture Notes in Artificial Intelligence ; ; 6322 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Data structures (Computer science) |
Application software |
Information storage and retrieval |
Database management |
Data mining |
Artificial Intelligence |
Data Structures and Information Theory |
Information Systems Applications (incl. Internet) |
Information Storage and Retrieval |
Database Management |
Data Mining and Knowledge Discovery |
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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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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Regular Papers -- Bayesian Knowledge Corroboration with Logical Rules and User Feedback -- Learning an Affine Transformation for Non-linear Dimensionality Reduction -- NDPMine: Efficiently Mining Discriminative Numerical Features for Pattern-Based Classification -- Hidden Conditional Ordinal Random Fields for Sequence Classification -- A Unifying View of Multiple Kernel Learning -- Evolutionary Dynamics of |
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Regret Minimization -- Recognition of Instrument Timbres in Real Polytimbral Audio Recordings -- Finding Critical Nodes for Inhibiting Diffusion of Complex Contagions in Social Networks -- Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction -- Online Knowledge-Based Support Vector Machines -- Learning with Randomized Majority Votes -- Exploration in Relational Worlds -- Efficient Confident Search in Large Review Corpora -- Learning to Tag from Open Vocabulary Labels -- A Robustness Measure of Association Rules -- Automatic Model Adaptation for Complex Structured Domains -- Collective Traffic Forecasting -- On Detecting Clustered Anomalies Using SCiForest -- Constrained Parameter Estimation for Semi-supervised Learning: The Case of the Nearest Mean Classifier -- Online Learning in Adversarial Lipschitz Environments -- Summarising Data by Clustering Items -- Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space -- Latent Structure Pattern Mining -- First-Order Bayes-Ball -- Learning from Demonstration Using MDP Induced Metrics -- Demand-Driven Tag Recommendation -- Solving Structured Sparsity Regularization with Proximal Methods -- Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models -- Improved MinMax Cut Graph Clustering with Nonnegative Relaxation -- Integrating Constraint Programming and Itemset Mining -- Topic Modeling for Personalized Recommendation of Volatile Items -- Conditional Ranking on Relational Data. |
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