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A novel transfer learning method based on common space mapping and weighted domain matching
In this paper, we propose a novel learning framework for the problem of ...
08/16/2016 ∙ by Ru-Ze Liang, et al. ∙
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Optimizing Top Precision Performance Measure of Content-Based Image Retrieval by Learning Similarity Function
In this paper we study the problem of content-based image retrieval. In ...
04/22/2016 ∙ by Ru-Ze Liang, et al. ∙
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Sparse Coding with Earth Mover's Distance for Multi-Instance Histogram Representation
Sparse coding (Sc) has been studied very well as a powerful data represe...
02/09/2015 ∙ by Mohua Zhang, et al. ∙
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When coding meets ranking: A joint framework based on local learning
Sparse coding, which represents a data point as a sparse reconstruction ...
09/08/2014 ∙ by Jim Jing-Yan Wang, et al. ∙
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Large Margin Image Set Representation and Classification
In this paper, we propose a novel image set representation and classific...
04/22/2014 ∙ by Jim Jing-Yan Wang, et al. ∙
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Max-Min Distance Nonnegative Matrix Factorization
Nonnegative Matrix Factorization (NMF) has been a popular representation...
12/05/2013 ∙ by Jim Jing-Yan Wang, et al. ∙
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Cross-Domain Sparse Coding
Sparse coding has shown its power as an effective data representation me...
11/27/2013 ∙ by Jim Jing-Yan Wang, et al. ∙
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Semi-Supervised Sparse Coding
Sparse coding approximates the data sample as a sparse linear combinatio...
11/26/2013 ∙ by Jim Jing-Yan Wang, et al. ∙
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