2865 search results - page 439 / 573 » Learning Models for Object Recognition |
131
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AAAI
2010
14 years 10 months ago
2010
Dimensionality reduction plays an important role in many machine learning and pattern recognition tasks. In this paper, we present a novel dimensionality reduction algorithm calle...
137
Voted
ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
131
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DASFAA
2009
IEEE
15 years 8 months ago
2009
IEEE
Abstract. In many application domains, e.g. sensor databases, traffic management or recognition systems, objects have to be compared based on positionally and existentially uncert...
112
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MM
2010
ACM
15 years 1 months ago
2010
ACM
Human Visual attention (HVA) is an important strategy to focus on specific information while observing and understanding visual stimuli. HVA involves making a series of fixations ...
135
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CVPR
2012
IEEE
13 years 4 months ago
2012
IEEE
Co-segmentation is defined as jointly partitioning multiple images depicting the same or similar object, into foreground and background. Our method consists of a multiplescale mu...