Representative Selection with Structured Sparsity
We propose a novel formulation to find representatives in data samples via learning with structured sparsity. To find representatives with both diversity and representativeness, we formulate the problem as a structurally-regularized learning where the objective function consists of a reconstruction...
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Main Authors: | , , , |
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格式: | Article |
語言: | English |
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2017
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在線閱讀: | https://hdl.handle.net/10356/82103 http://hdl.handle.net/10220/43501 |
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