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145
Voted
ICCV
2005
IEEE
16 years 5 months ago
2005
IEEE
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
130
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GECCO
2007
Springer
15 years 7 months ago
2007
Springer
In this study we deal with the mixing problem, which concerns combining the prediction of independently trained local models to form a global prediction. We deal with it from the ...
149
Voted
ICCV
2011
IEEE
14 years 3 months ago
2011
IEEE
Our objective is transfer training of a discriminatively trained object category detector, in order to reduce the number of training images required. To this end we propose three ...
160
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PET
2005
Springer
15 years 9 months ago
2005
Springer
Parallel mixing [7] is a technique for optimizing the latency of a synchronous re-encryption mix network. We analyze the anonymity of this technique when an adversary can learn the...
125
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GECCO
2005
Springer
15 years 9 months ago
2005
Springer
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in the framework of sy...