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» Constructing Category Hierarchies for Visual Recognition
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VISSYM
2003
14 years 10 months ago
Visual Hierarchical Dimension Reduction for Exploration of High Dimensional Datasets
Traditional visualization techniques for multidimensional data sets, such as parallel coordinates, glyphs, and scatterplot matrices, do not scale well to high numbers of dimension...
Jing Yang, Matthew O. Ward, Elke A. Rundensteiner,...
CVPR
2012
IEEE
12 years 12 months ago
Recognizing scene viewpoint using panoramic place representation
We introduce the problem of scene viewpoint recognition, the goal of which is to classify the type of place shown in a photo, and also recognize the observer’s viewpoint within ...
Jianxiong Xiao, Krista A. Ehinger, Aude Oliva, Ant...
NIPS
2008
14 years 10 months ago
Multi-Level Active Prediction of Useful Image Annotations for Recognition
We introduce a framework for actively learning visual categories from a mixture of weakly and strongly labeled image examples. We propose to allow the categorylearner to strategic...
Sudheendra Vijayanarasimhan, Kristen Grauman
ECCV
2010
Springer
15 years 2 months ago
Word Spotting in the Wild
We present a method for spotting words in the wild, i.e., in real images taken in unconstrained environments. Text found in the wild has a surprising range of difficulty. At one en...
SIGGRAPH
1996
ACM
15 years 1 months ago
Hierarchical Image Caching for Accelerated Walkthroughs of Complex Environments
We present a new method that utilizes path coherence to accelerate walkthroughs of geometrically complex static scenes. As a preprocessing step, our method constructs a BSP-tree t...
Jonathan Shade, Dani Lischinski, David Salesin, To...