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» Learning Visual Representations using Images with Captions
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CVPR
2008
IEEE
14 years 10 months ago
Latent topic random fields: Learning using a taxonomy of labels
An important problem in image labeling concerns learning with images labeled at varying levels of specificity. We propose an approach that can incorporate images with labels drawn...
Xuming He, Richard S. Zemel
AAAI
2004
13 years 10 months ago
VModel: A Visual Qualitative Modeling Environment for Middle-School Students
Learning how to create, test, and revise models is a central skill in scientific reasoning. We argue that qualitative modeling provides an appropriate level of representation for ...
Kenneth D. Forbus, Karen Carney, Bruce L. Sherin, ...
VISUALIZATION
1999
IEEE
14 years 1 months ago
Visualizing Multivalued Data from 2D Incompressible Flows Using Concepts from Painting
We present a new visualization method for 2d flows which allows us to combine multiple data values in an image for simultaneous viewing. We utilize concepts from oil painting, art...
Robert M. Kirby, H. Marmanis, David H. Laidlaw
CVPR
2008
IEEE
14 years 10 months ago
Looking around the backyard helps to recognize faces and digits
Human beings have the ability to learn to recognize a new visual category based on only one or few training examples. Part of this ability might come from the use of knowledge fro...
Honghao Shan, Garrison W. Cottrell
3DPVT
2006
IEEE
149views Visualization» more  3DPVT 2006»
14 years 2 months ago
Depth Images: Representations and Real-Time Rendering
Depth Images are viable representations that can be computed from the real world using cameras and/or other scanning devices. The depth map provides 2-1 2 D structure of the scene...
Pooja Verlani, Aditi Goswami, P. J. Narayanan, She...