115 search results - page 9 / 23 » Feature Sets and Dimensionality Reduction for Visual Object ... |
AI
2004
Springer
14 years 9 months ago
2004
Springer
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
113
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IJRR
2008
14 years 9 months ago
2008
Bilateral symmetry is a salient visual feature of many man-made objects. In this paper, we present research that use bilateral symmetry to identify, segment and track objects in re...
ICPR
2004
IEEE
15 years 11 months ago
2004
IEEE
Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
We introduce an exemplar model that can learn and generate a region of interest around class instances in a training set, given only a set of images containing the visual class. T...
106
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CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
We study visual attention by detecting a salient object in an input image. We formulate salient object detection as an image segmentation problem, where we separate the salient obj...