Visual learning

Results: 1925



#Item
141

An In-depth Discussion of Special Learning Needs of Individuals in Adult Education, At-Risk Youth Programs, and One-Stop Centers Part 1—Inadequacies of LD-Only Diagnosis Point to Visual Stress Syndrome By Laura Weisel,

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Source URL: naasln.org

Language: English - Date: 2013-02-14 08:37:45
    142

    Learning Bilingual Lexicons using the Visual Similarity of Labeled Web Images Shane Bergsma and Benjamin Van Durme Department of Computer Science and Human Language Technology Center of Excellence Johns Hopkins Universit

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    Source URL: cs.jhu.edu

    Language: English
      1433D modeling / Computer-aided engineering / Video game design / Glass / Visual arts / Manufacturing / Business

      Is it magic? Tap into potential. We believe that technology can pave new ways of learning. The MagicBox is an astonishing innovation that magically fuses traditional display cases with actual hands-on experience. Print

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      Source URL: content-conversion.com

      Language: English - Date: 2015-09-18 07:11:48
      144

      Perception, 2005, volume 34, pages 717 ^ 740 DOI:p5405 Perceiving possibilities for action: On the necessity of calibration and perceptual learning for the visual

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      Source URL: panda.cogsci.rpi.edu

      Language: English - Date: 2005-06-22 10:47:04
        145Software engineering / Computing / Computer programming / Online education / Open educational resources / Object-oriented programming languages / Cross-platform software / Procedural programming languages / Internet forum / Comparison of Internet forum software / EdX / Massive open online course

        Toward a Domain-Specific Visual Discussion Forum for Learning Computer Programming: An Empirical Study of a Popular MOOC Forum Joyce Zhu, Jeremy Warner, Mitchell Gordon, Jeffery White, Renan Zanelatto, Philip J. Guo Depa

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        Source URL: www.pgbovine.net

        Language: English - Date: 2015-09-04 14:09:57
        146Artificial intelligence / Image processing / Statistics / Nonparametric statistics / Feature detection / Vision / Computer vision / Machine learning / K-nearest neighbors algorithm / Image histogram / Statistical classification / Histogram

        CS 558: Homework Assignment 4 - Visual Recognition Due: April 26, 11:59pm Philippos Mordohai Department of Computer Science Stevens Institute of Technology

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        Source URL: www.cs.stevens.edu

        Language: English - Date: 2016-04-12 03:09:57
        147Vision / Light / Stereoscopy / Perception / 3D imaging / Computational neuroscience / Visual perception / Deep learning / Autoencoder / Stereopsis / Binocular disparity / Stereophonic sound

        arXiv:1312.3429v2 [cs.CV] 16 DecUnsupervised learning of depth and motion Kishore Konda Goethe University Frankfurt Germany

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        Source URL: arxiv.org

        Language: English - Date: 2013-12-16 20:39:51
        148

        Typical trajectory of RPM sessions: (child is unlikely to get through every stage in one session): - We identify open learning channels (visual, auditory, kinsethetic, tactical ) by looking at the self-stimulatory (flap

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        Source URL: www.heedrpm.com

        Language: English - Date: 2016-03-17 20:02:19
          149Feature detection / Speeded up robust features / Descriptor / Visual descriptor / Feature / Structure from motion / Outline of object recognition / Vision

          Discriminative Learning of Deep Convolutional Feature Point Descriptors Edgar Simo-Serra∗,1,5 , Eduard Trulls∗,2,5 , Luis Ferraz3 Iasonas Kokkinos4 , Pascal Fua2 , Francesc Moreno-Noguer5 1 Waseda University, Tokyo,

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          Source URL: www.cv-foundation.org

          Language: English - Date: 2015-10-24 14:56:53
          150Outline of object recognition / Image segmentation / Mental image / Cognitive science / Cognition / One-shot learning

          What, Where and Who? Telling the Story of an Image by Activity Classification, Scene Recognition and Object Categorization Li Fei-Fei and Li-Jia Li Abstract We live in a richly visual world. More than one third of the

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          Source URL: vision.stanford.edu

          Language: English
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