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» FeatureMapper: mapping features to models
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ACL
2012
11 years 10 months ago
Discriminative Pronunciation Modeling: A Large-Margin, Feature-Rich Approach
We address the problem of learning the mapping between words and their possible pronunciations in terms of sub-word units. Most previous approaches have involved generative modeli...
Hao Tang, Joseph Keshet, Karen Livescu

Publication
336views
12 years 11 days ago
Feature Mining for Localised Crowd Counting
This paper presents a multi-output regression model for crowd counting in public scenes. Existing counting by regression methods either learn a single model for global counting, or...
Ke Chen, Chen Change Loy, Shaogang Gong, Tao Xiang...
ICCV
2011
IEEE
12 years 7 months ago
Center-surround Divergence of Feature Statistics for Salient Object Detection
In this paper, we introduce a new method to detect salient objects in images. The approach is based on the standard structure of cognitive visual attention models, but realizes th...
Dominik A. Klein, Simone Frintrop
ICIP
2010
IEEE
13 years 5 months ago
Spatio-temporal combination of saliency maps and eye-tracking assessment of different strategies
The modeling of the human visual attention into a computational attention model leads to the split of visual features into several independent channels. Then, a difficult problem ...
Christel Chamaret, Jean-Claude Chevet, Olivier Le ...
BC
2000
86views more  BC 2000»
13 years 7 months ago
Self-organizing maps for visual feature representation based on natural binocular stimuli
We model the stimulus-induced development of the topography of the primary visual cortex. The analysis uses a self-organizing Kohonen model based on high-dimensional coding. It all...
Jan C. Wiemer, Thomas Burwick, Werner von Seelen