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1. |
Record Nr. |
UNINA9910341352403321 |
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Autore |
Targioni Tozzetti, Ottaviano <1755-1826> |
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Titolo |
Instituzioni botaniche del dottore Ottaviano Targioni Tozzetti pubblico professore di Botanica nel R. Museo di Firenze |
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Pubbl/distr/stampa |
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Firenze, : nella stamperìa di Luigi Carlieri in via Guicciardini, 1794 |
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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. |
UNINA9910957845603321 |
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Titolo |
Form and Transformation in Asian American Literature / edited by Zhou Xiaojing and Samina Najmi |
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Pubbl/distr/stampa |
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Seattle : , : University of Washington Press, , 2005 |
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©2005 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (305 p.) |
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Collana |
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The Scott and Laurie Oki series in Asian American studies |
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Classificazione |
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Altri autori (Persone) |
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NajmiSamina |
ZhouXiaojing <1952-> |
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Disciplina |
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Soggetti |
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Asian Americans in literature |
Asian Americans - Intellectual life |
American literature - Asian American authors - History and criticism |
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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Description based upon print version of record. |
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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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Beyond the length of an average penis : reading across traditions in the poetry of Timothy Liu / Richard Serrano -- Decolonizing the Bildungsroman : narratives of war and womanhood in Nora Okja Keller's Comfort woman / Samina Najmi -- Short story cycle and Hawai'i Bildungsroman : writing self, place, and family in Lois-Ann Yamanaka's Wild meat and the bully burgers / Rocío G. Davis -- Recasting the spy, rewriting the story : the politics of genre in native speaker by Chang-Rae Lee / Tina Y. Chen -- Telling twice-told tales all over again : literary and historical subversion in Bharati Mukherjee's The holder of the world / Pallavi Rastogi. |
Introduction : critical theories and methodologies in Asian American literary studies / Zhou Xiaojing -- Winnifred Eaton/Onoto Watanna : establishing ethnographic authority / Dominika Ferens -- The seduction of origins : Sui Sin Far and the race for tradition / David Shih -- Political resistance, cultural appropriation, and the performance of manhood in Yung Wing's My life in China and America / Floyd Cheung -- Reading ethnography : the Cold War social science of Jade Snow Wong's Fifth Chinese -- Daughter and Brown v. Board of Education / Christopher Douglas -- Abraham Verghese doctors autobiography in his own country / Rajini Srikanth -- Cambodian American autobiography : testimonial discourse / Teri Shaffer Yamada -- Hat softeners "in the trade confession" : John Yau and Kimiko Hahn / Zhou Xiaojing -- |
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Sommario/riassunto |
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This critical anthology draws on current theoretical movements to examine the breadth of Asian American literature from the earliest to the most recent writers. Covering fiction, essays, poetry, short stories, ethnography, and autobiography, Form and Transformation in Asian American Literature advances the development of a theoretically informed, historically and culturally specific methodology for studying this increasingly complex field. The essays in this anthology probe into hotly debated issues as well as understudied topics, including the relations between Asian American and other minority American writings. |
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3. |
Record Nr. |
UNINA9910920445903321 |
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Autore |
Dornaika Fadi |
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Titolo |
Advances in Data Clustering : Theory and Applications / / edited by Fadi Dornaika, Denis Hamad, Joseph Constantin, Vinh Truong Hoang |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (225 pages) |
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Altri autori (Persone) |
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HamadDenis |
ConstantinJoseph |
HoangVinh Truong |
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Disciplina |
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Soggetti |
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Data mining |
Artificial intelligence - Data processing |
Information modeling |
Computer vision |
Data Mining and Knowledge Discovery |
Data Science |
Information Model |
Computer Vision |
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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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Chapter 1 Classification of Gougerot-Sjögren syndrome Based on Artificial Intelligence -- Chapter 2 Deep learning Classification of Venous Thromboembolism based on Ultrasound imaging -- Chapter 3 Synchronization-Driven Community Detection: Dynamic Frequency Tuning Approach -- Chapter 4 Automatic Evolutionary Clustering for Human Activity Discovery -- Chapter 5 Identification of Correlated factors for Absenteeism of employees using Clustering techniques -- Chapter 6 Multi-view Data Clustering through Consensus Graph and Data Representation Learning -- Chapter 7 Uber’s Contribution to Faster Deep Learning: A Case Study in Distributed Model Training -- Chapter 8 Auto-Weighted Multi-View Clustering with Unified Binary Representation and Deep Initialization -- Chapter 9 Clustering with |
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Adaptive Unsupervised Graph Convolution Network -- Chapter 10 Graph-based Semi-supervised Learning for Multi-view Data Analysis -- Chapter 11 Advancements in Fuzzy Clustering Algorithms for Im-age Processing: A Comprehensive Review and Future Directions -- Chapter 12 Multiview Latent representation learning with feature diversity for clustering. |
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Sommario/riassunto |
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Clustering, a foundational technique in data analytics, finds diverse applications across scientific, technical, and business domains. Within the theme of “Data Clustering,” this book assumes substantial importance due to its indispensable clustering role in various contexts. As the era of online media facilitates the rapid generation of large datasets, clustering emerges as a pivotal player in data mining and machine learning. At its core, clustering seeks to unveil heterogeneous groups within unlabeled data, representing a crucial unsupervised task in machine learning. The objective is to automatically assign labels to each unlabeled datum with minimal human intervention. Analyzing this data allows for categorization and drawing conclusions applicable across diverse application domains. The challenge with unlabeled data lies in defining a quantifiable goal to guide the model-building process, constituting the central theme of clustering. This book presents concepts and different methodologies of data clustering. For example, deep clustering of images, semi-supervised deep clustering, deep multi-view clustering, etc. This book can be used as a reference for researchers and postgraduate students in related research background. |
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