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255
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CVPR
2012
IEEE
13 years 10 months ago
2012
IEEE
Current object class recognition systems typically target 2D bounding box localization, encouraged by benchmark data sets, such as Pascal VOC. While this seems suitable for the de...
280
Voted
CVPR
2012
IEEE
13 years 10 months ago
2012
IEEE
Metric learning is a fundamental problem in computer vision. Different features and algorithms may tackle a problem from different angles, and thus often provide complementary inf...
225
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TVCG
2012
13 years 10 months ago
2012
—The Reeb graph of a scalar function represents the evolution of the topology of its level sets. This paper describes a near-optimal output-sensitive algorithm for computing the ...
256
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SIGMETRICS
2012
ACM
13 years 10 months ago
2012
ACM
Latency has become an important metric for network monitoring since the emergence of new latency-sensitive applications (e.g., algorithmic trading and high-performance computing)....
242
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AAAI
2012
13 years 10 months ago
2012
Probabilistic relational PCA (PRPCA) can learn a projection matrix to perform dimensionality reduction for relational data. However, the results learned by PRPCA lack interpretabi...