2512 search results - page 279 / 503 » Learning from Highly Structured Data by Decomposition |
142
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ISNN
2007
Springer
15 years 10 months ago
2007
Springer
A neural-based method for source separation in nonlinear mixture is proposed in this paper. A cost function, which consists of the mutual information and partial moments of the out...
143
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ICCV
2009
IEEE
16 years 9 months ago
2009
IEEE
Random Forests (RFs) have become commonplace
in many computer vision applications. Their
popularity is mainly driven by their high computational
efficiency during both training ...
167
Voted
ICCV
2011
IEEE
14 years 4 months ago
2011
IEEE
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
160
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CVPR
2012
IEEE
13 years 6 months ago
2012
IEEE
We describe an online approach to learn non-linear motion patterns and robust appearance models for multi-target tracking in a tracklet association framework. Unlike most previous...
161
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ECCV
2008
Springer
16 years 6 months ago
2008
Springer
Developing effective content recognition methods for diverse imagery continues to challenge computer vision researchers. We present a new approach for document image content catego...