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Visual learning
Results: 1925

#	Item
251	Standards Guide Music-Visual Art - 4.pub Add to Reading List Source URL: www.oaae.net Language: English - Date: 2013-01-31 16:03:37 Education reform Entertainment Music The arts Art Rote learning Fine art Education Aesthetics Learning
252	ConceptLearner: Discovering Visual Concepts from Weakly Labeled Image Collections Bolei Zhou† , Vignesh Jagadeesh‡ , Robinson Piramuthu‡ † MIT ‡ eBay Research Labs ,[vjagadeesh, rpiramuthu]@ebay.co Add to Reading List Source URL: conceptlearner.csail.mit.edu Language: English - Date: 2015-04-09 21:30:17 Artificial intelligence Cognition Concept learning Learning theory Machine learning Segmentation Object recognition Concept Computer vision Image processing Vision
253	Jere Osgood’s work has been exhibited widely and is represented in such major permanent collections as the Museum of Fine Arts, Boston, the American Craft Museum in New York, the Johnson Collection (Objects USA), the R Add to Reading List Source URL: furnituremasters.org Language: English Jere Osgood Learning The Furniture Society Desks American craft Osgood Award of Distinction Woodworking Tage Frid Visual arts Arts Furniture
254	Email Address Made in Brooklyn: Bonbon Oiseau Deb Stein is not what you’d expect from a jewelry designer. She doesn’t keep up with fashion magazines, doesn’t consider next season’s trends, and doesn’t have Add to Reading List Source URL: www.mariagagliano.com Language: English - Date: 2011-02-01 10:21:58 Seed bead Bead Jewellery Arts Learning Beadwork Visual arts Etsy
255	Revisiting Example Dependent Cost-Sensitive Learning with Decision Trees Oisin Mac Aodha Gabriel J. Brostow University College London http://visual.cs.ucl.ac.uk/pubs/costSensitive Add to Reading List Source URL: visual.cs.ucl.ac.uk Language: English - Date: 2013-10-13 13:11:56 Statistical classification Decision trees Data mining Ensemble learning Decision tree learning Random forest Support vector machine Binary classification Feature Statistics Machine learning Artificial intelligence
256	Oral CommunicationOral Communication Each General Education category is grounded in a set of learning outcomes. For the full set of learning outcomes for Oral Communication courses see: www.gened.umd.edu This rubric is Add to Reading List Source URL: www.gened.umd.edu Language: English - Date: 2015-05-18 17:12:42 Presentation Visual communication Social psychology Structure Information Communication Public speaking Design
257	White Paper Involving SMEs in rapid eLearning authoring Case studies and best practices on training subject matter experts (SMEs) to capture their own content Add to Reading List Source URL: www.adobe.com Language: English - Date: 2007-11-08 18:15:54 Subject-matter expert Adobe Systems Construction Visual arts Adobe Rapid learning Adobe eLearning Suite Training Adobe Captivate Architecture
258	APPLICATION INFORMATION SHOW: The annual Smithsonian Craft Show is a juried exhibition and sale of contemporary American crafts and design. Three jurors who are experts in the field and newly selected each year choose 12 Add to Reading List Source URL: smithsoniancraftshow.org Language: English - Date: 2015-05-15 14:42:23 Learning Arts and Crafts Movement Arts and crafts Crafts American art American craft Studio craft Smithsonian Institution Visual arts Arts Decorative arts
259	1 Program Details: Cal U’s Summer Educational Enrichment for Kids (SEEK) is an academic enrichment program for school-aged children entering grades 1-8 in the fall ofStudents will participate in learning exper Add to Reading List Source URL: www.calu.edu Language: English - Date: 2015-06-09 02:09:18 Outline of chess Chess Coral reef Sand art and play Computer chess Games Visual arts Leisure
260	Visual Training and Classification of Textured Scene Images Markus Turtinen and Matti Pietik¨ainen Department of Electrical and Information Engineering Machine Vision Group, Infotech Oulu P.O. Box 4500, FINUniver Add to Reading List Source URL: www.macs.hw.ac.uk Language: English - Date: 2003-09-11 06:46:54 Image processing Computer vision Segmentation Self-organizing map Statistical classification Local binary patterns K-nearest neighbor algorithm Pattern recognition K-means clustering Machine learning Artificial intelligence Computational statistics

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