Fusion tensor subspace transformation framework.
Tensor subspace transformation, a commonly used subspace transformation technique, has gained more and more popularity over the past few years because many objects in the real world can be naturally represented as multidimensional arrays, i.e. tensors. For example, a RGB facial image can be represen...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2013-01-01
|
| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC3698091?pdf=render |
| _version_ | 1818193201099440128 |
|---|---|
| author | Su-Jing Wang Chun-Guang Zhou Xiaolan Fu |
| author_facet | Su-Jing Wang Chun-Guang Zhou Xiaolan Fu |
| author_sort | Su-Jing Wang |
| collection | DOAJ |
| description | Tensor subspace transformation, a commonly used subspace transformation technique, has gained more and more popularity over the past few years because many objects in the real world can be naturally represented as multidimensional arrays, i.e. tensors. For example, a RGB facial image can be represented as a three-dimensional array (or 3rd-order tensor). The first two dimensionalities (or modes) represent the facial spatial information and the third dimensionality (or mode) represents the color space information. Each mode of the tensor may express a different semantic meaning. Thus different transformation strategies should be applied to different modes of the tensor according to their semantic meanings to obtain the best performance. To the best of our knowledge, there are no existing tensor subspace transformation algorithm which implements different transformation strategies on different modes of a tensor accordingly. In this paper, we propose a fusion tensor subspace transformation framework, a novel idea where different transformation strategies are implemented on separate modes of a tensor. Under the framework, we propose the Fusion Tensor Color Space (FTCS) model for face recognition. |
| first_indexed | 2024-12-12T00:42:38Z |
| format | Article |
| id | doaj.art-8afa731254a940168e17a8035d7b30fd |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-12T00:42:38Z |
| publishDate | 2013-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-8afa731254a940168e17a8035d7b30fd2022-12-22T00:44:12ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0187e6664710.1371/journal.pone.0066647Fusion tensor subspace transformation framework.Su-Jing WangChun-Guang ZhouXiaolan FuTensor subspace transformation, a commonly used subspace transformation technique, has gained more and more popularity over the past few years because many objects in the real world can be naturally represented as multidimensional arrays, i.e. tensors. For example, a RGB facial image can be represented as a three-dimensional array (or 3rd-order tensor). The first two dimensionalities (or modes) represent the facial spatial information and the third dimensionality (or mode) represents the color space information. Each mode of the tensor may express a different semantic meaning. Thus different transformation strategies should be applied to different modes of the tensor according to their semantic meanings to obtain the best performance. To the best of our knowledge, there are no existing tensor subspace transformation algorithm which implements different transformation strategies on different modes of a tensor accordingly. In this paper, we propose a fusion tensor subspace transformation framework, a novel idea where different transformation strategies are implemented on separate modes of a tensor. Under the framework, we propose the Fusion Tensor Color Space (FTCS) model for face recognition.http://europepmc.org/articles/PMC3698091?pdf=render |
| spellingShingle | Su-Jing Wang Chun-Guang Zhou Xiaolan Fu Fusion tensor subspace transformation framework. PLoS ONE |
| title | Fusion tensor subspace transformation framework. |
| title_full | Fusion tensor subspace transformation framework. |
| title_fullStr | Fusion tensor subspace transformation framework. |
| title_full_unstemmed | Fusion tensor subspace transformation framework. |
| title_short | Fusion tensor subspace transformation framework. |
| title_sort | fusion tensor subspace transformation framework |
| url | http://europepmc.org/articles/PMC3698091?pdf=render |
| work_keys_str_mv | AT sujingwang fusiontensorsubspacetransformationframework AT chunguangzhou fusiontensorsubspacetransformationframework AT xiaolanfu fusiontensorsubspacetransformationframework |