Homa Foroughi | Papers With Codepaperswithcode.com › author › homa-foroughi
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no code implementations • 15 Mar • Homa Foroughi, Moein Shakeri, Nilanjan Ray, Hong Zhang. Face recognition has been widely studied due to its ...
Moein Shakeri - CatalyzeXwww.catalyzex.com › author
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Face Recognition using Multi-Modal Low-Rank Dictionary Learning. Mar 15, Homa Foroughi, Moein Shakeri, Nilanjan Ray, Hong Zhang ...
Hong Zhang - CSAuthorswww.csauthors.net › hong-zhang-013
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Homa Foroughi. ,. Nilanjan Ray. ,. Hong Zhang. IEEE Trans. Image Process., IEEE\/RSJ International Conference on Intelligent Robots and Systems ...
Moein Foroughi Research Papers
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Homa Foroughi, Moein Shakeri, Nilanjan Ray, Hong Zhang,; IEEE International Conference on Image Processing (ICIP); Face recognition has been ...
Face recognition using multi-modal low-rank dictionary learningwww.sciencegate.app › documents
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Homa Foroughi ◽. Moein Shakeri ◽. Nilanjan Ray ◽. Hong Zhang. Keyword(s):. Face Recognition ◽. Dictionary Learning ◽. Low Rank · Download Full-text.
Nilanjan Ray - researchr alias
researchr.org
Face recognition using multi-modal low-rank dictionary learningHoma Foroughi, Moein Shakeri, Nilanjan Ray, Hong Zhang. icip 2017: [doi].
[ ] Joint Projection and Dictionary Learning using Low-rank...
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Authors: Homa Foroughi, Nilanjan Ray, Hong Zhang (Submitted on 24 Mar , last revised 6 Dec (this version, v2)) Abstract: In this paper, we aim at learning simultaneously a discriminative dictionary and a robust projection matrix from noisy data. The joint learning, makes the learned projection and dictionary a better fit for each ...
Face Recognition using Multi-modal Low-rank Dictionary Learning |...
sigport.org
· [1] Homa Foroughi, Moein Shakeri, Nilanjan Ray, Hong Zhang, "Face Recognition using Multi-modal Low-rank Dictionary Learning", IEEE SigPort,
Object Classification With Joint Projection and Low-Rank PubMedpubmed.ncbi.nlm.nih.gov › ...
pubmed.ncbi.nlm.nih.gov
Homa Foroughi, Nilanjan Ray, Hong Zhang. PMID: ; DOI: TIP Abstract. For an object classification system, the most critical ...
Pattern Recognition | Discriminative Feature Learning from Big Data...
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Discriminative Feature Learning from Big Data for Visual Recognition. Edited by Zhuolin Jiang, Ling Shao, Zhe Lin, Haibin Ling, Fatih Porikli, Pavan Turaga. Volume 48, Issue 10, Pages (October 2015) ... Homa Foroughi, Nilanjan Ray, Hong Zhang. Pages Download PDF.
Homa Foroughi - dblpdblp.org › Persons
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Homa Foroughi , Nilanjan Ray , Hong Zhang: Object Classification With Joint Projection and Low-Rank Dictionary Learning. IEEE Trans.
Joint Projection and Dictionary Learning using Low-rank...
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Joint Projection and Dictionary Learning using Low-rank Regularization and Graph Constraints . By Homa Foroughi, Nilanjan Ray and Hong Zhang. Abstract. In this paper, we aim at learning simultaneously a discriminative dictionary and a robust projection matrix from noisy data. The joint learning, makes the learned projection and dictionary a ...
All web results to the name "Homa Foroughi"
Object Classification With Joint Projection and Low-Rank X-MOLwww.x-mol.com › paper › recommend
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Homa Foroughi,Nilanjan Ray,Hong Zhang. For an object classification system, the most critical obstacles toward real-world applications are often caused by ...
yin yang copy and paste characterpredilecta.com.br › images
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More than 1800, with many more from the Religions category, Symbols, signs and colours Homa Foroughi, Moein Shakeri, Nilanjan Ray, Hong Zhang . Hi everyone!
人脸识别相关资源汇总三（论文，代码+dataset) - 知乎zhuanlan.zhihu.com › ...
zhuanlan.zhihu.com
Homa Foroughi, Moein Shakeri, Nilanjan Ray, Hong Zhang .Face Recognition using Multi-Modal Low-Rank Dictionary Learning .[J] arXiv preprint arXiv:
Hong Zhang - Google Scholar Citations
scholar.google.be
... Jonathan Kelly,; Yasin Abbasi-Yadkori,; Ricardo José Ferrari,; Li He,; Max Q.-H . Meng,; Homa Foroughi,; Dipti Prasad Mukherjee,; Robert Stewart ...
BMVC 2015
www.bmva.org
Joint Feature Selection with Low-rank Dictionary Learning Homa Foroughi, Moein Shakeri, Nilanjan Ray and Hong Zhang Abstract Feature selection is one of the well known dimensionality reduction methods that efficiently describes the input data by removing irrelevant variables and reduces the effects of noise to provide good prediction results.
Arxiv Sanity Preserverwww.arxiv-sanity.com › ...
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Homa Foroughi, Nilanjan Ray, Hong Zhang cs.CV arXiv admin note: text overlap with arXiv: ; text overlap with arXiv: by other a.
Joint Projection and Dictionary Learning using Low-rank...
scirate.com
Homa Foroughi, Nilanjan Ray, Hong Zhang; In this paper, we aim at learning simultaneously a discriminative dictionary and a robust projection matrix from noisy data.
Face Recognition using Multi-Modal Low-Rank GroundAIwww.groundai.com › project › face-recognition-using-...
www.groundai.com
Homa Foroughi * † †thanks: *These authors contributed equally to this work, Moein Shakeri * 1 1footnotemark: 1, Nilanjan Ray, Hong Zhang.
Students
webdocs.cs.ualberta.ca
Homa Foroughi ( , joint supervision with Dr. Hong Zhang) Thesis title: Learning Sparse Representations for Computer Vision Applications AITF scholarship recipient in
Object Classification with Joint Projection and Low-rank Dictionary...
scirate.com
Dec 07, · Homa Foroughi, Nilanjan Ray, Hong Zhang; For an object classification system, the most critical obstacles towards real-world applications are often caused ...
Nilanjan Ray - CatalyzeXwww.catalyzex.com › ...
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Joint Projection and Dictionary Learning using Low-rank Regularization and Graph Constraints. Dec 06, Homa Foroughi, Nilanjan Ray, Hong Zhang ...
Object Classification with Joint Projection and Low-rank 专知www.zhuanzhi.ai › paper
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Homa Foroughi,Nilanjan Ray,Hong Zhang. from arxiv, arXiv admin note: text overlap with arXiv: ; text overlap with arXiv: by other authors.
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