1.

Record Nr.

UNINA9910462046803321

Autore

Stebbins Robert C (Robert Cyril), <1915->

Titolo

Connecting with nature [[electronic resource] ] : a naturalist's perspective / / Robert C. Stebbins

Pubbl/distr/stampa

Arlington, Va., : National Science Teachers Association, c2012

ISBN

1-936959-89-5

Descrizione fisica

1 online resource (226 p.)

Disciplina

578.076

Soggetti

Ecology - Study and teaching - Activity programs

Nature study - Activity programs

Natural history - Study and teaching - Activity programs

Environmental education - Activity programs

Outdoor life - Study and teaching - Activity programs

Naturalists - United States

Human ecology - Philosophy

Nature - Effect of human beings on

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Introduction: Ecology : A Pathway to Connecting with Nature -- pt. 1. Connecting with Nature, an Ecological Approach : Goals, Activities, Field Trips, Nature Stories, Nature's Driving Force for Change -- Early Memories and the Nature Connection -- Goals of an Ecological Approach -- Developing Awareness and Exciting Interest -- Learning from Successful Cooperative Models -- Listening in on a Naturalist's Experiences : Nature Walks, Interacting with Plants and Animals in the Field, Nature Stories -- Evolution, Nature's Driving Force for Change : How Organisms Adapt to Their Environments -- pt. 2. Nature Bonding : Impediments and Hopeful Prospects -- The High Cost of Ecological Illiteracy : Isolation of Ecology, Attitudes Toward Nature, Population Explosion -- Hopeful Prospects : an Historic Message that Almost Succeeded, Some Reasons for Hope.

Sommario/riassunto

Taking what he calls "a nature-centered worldview," author Robert



Stebbins blends activities, examples, and stories with his perspectives on the importance of dealing objectively yet compassionately with social and environmental problems. Even a quick glance through Connecting With Nature will make you wish you could give your students the joy of a day in the hills with the author. Failing that, you can use his book to instill a love of nature in your students-and rekindle it in yourself.

2.

Record Nr.

UNINA9910349425503321

Titolo

Energy Minimization Methods in Computer Vision and Pattern Recognition : 11th International Conference, EMMCVPR 2017, Venice, Italy, October 30 – November 1, 2017, Revised Selected Papers / / edited by Marcello Pelillo, Edwin Hancock

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018

ISBN

9783319781990

3319781995

Edizione

[1st ed. 2018.]

Descrizione fisica

1 online resource (XII, 582 p.)

Collana

Image Processing, Computer Vision, Pattern Recognition, and Graphics, , 3004-9954 ; ; 10746

Disciplina

006.37

Soggetti

Pattern recognition systems

Computer arithmetic and logic units

Computer vision

Numerical analysis

Computer science - Mathematics

Artificial intelligence

Automated Pattern Recognition

Arithmetic and Logic Structures

Computer Vision

Numerical Analysis

Mathematical Applications in Computer Science

Artificial Intelligence

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia



Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Clustering and Quantum Methods -- Motion and Tracking -- Image Processing and Segmentation -- Color, Shading and Reflectance of Light -- Propagation and Time-evolution -- Inference, Labeling, and Relaxation.

Sommario/riassunto

This volume constitutes the refereed proceedings of the 11th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2017, held in Venice, Italy, in October/November 2017. The 37 revised full papers were carefully reviewed and selected from 51 submissions. The papers are organized in topical sections on Clustering and Quantum Methods; Motion and Tracking; Image Processing and Segmentation; Color, Shading and Reflectance of Light; Propagation and Time-evolution; and Inference, Labeling, and Relaxation.