Discriminant analysis with tensor representation

By Shuicheng Yan, Dong Xu, Qiang Yang, Lei Zhang, Xiaoou Tang, HongJiang Zhang. 2005

204 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Mathematics, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Yun Raymond Fu
2. Shuicheng Yan
3. Xuelong Li
4. Dong Xu
5. Chengcheng Jia
6. Juho Kanniainen
7. Moncef Gabbouj
8. Stephen Lin

In Computational Mathematics

1. Qun Li
2. Dan Schonfeld
3. Tae-Kyun Kim
4. Yun Raymond Fu
5. Chengcheng Jia
6. Shuicheng Yan
7. Stephen Lin
8. Roberto Cipolla

In Computer Vision and Pattern Recognition

1. Dacheng Tao
2. Luc Van Gool
3. Yun Raymond Fu
4. Shuicheng Yan
5. Ming-Hsuan Yang
6. Xiaogang Wang
7. Yi Yang
8. Trevor Darrell

Citations in the corpus

• Tensor representation in high-frequency financial data for price change prediction (2017, methodology): “With advances in mathematical tools and algorithms dealing with tensor input, many multilinear discriminant techniques as well as tensor regression have been proposed for image and video classification problems such as [18], [19], [20], [21], [22], [23], [24], [25], [26], [27].”
• Graph Embedding and Extensions: A General Framework for Dimensionality Reduction (2007, unknown): “Recently, a number of algorithms [25], [26], [27], [29], [30], [31] have been proposed to conduct dimensionality reduction on objects encoded as matrices or tensors of arbitrary order.”
• Low-Rank Tensor Subspace Learning for RGB-D Action Recognition (2016, methodology): “• LATER : They [38] proposed a discriminant tensor-based method, which integrates the Fisher criteria for classifi-cation.”
• Canonical Correlation Analysis of Video Volume Tensors for Action Categorization and Detection (2009, background): “Keywords– Action categorization, gesture recognition, canonical correlation analysis, tensor, action detection, incremental subspace learning, spatiotemporal pattern classification.”
• Multilinear Discriminant Analysis for Higher-Order Tensor Data Classification (2014, methodology): “Index Terms—Linear discriminant analysis (LDA), multilinear discriminant analysis (MDA), direct general tensor discriminant analysis (DGTDA), constrained multilinear discriminant analysis (CMDA), pattern classification, higher-order tensor Ç”
• Discriminant Locally Linear Embedding With High-Order Tensor Data (2008, methodology): “Recent studies [6], [12], [48], [50], [53], [54] have experimentally reported that dimensionality reduction algorithms with”
• GEINet: View-invariant gait recognition using a convolutional neural network (2016, methodology): “We evaluated the proposed method under cross-view matching between the 85-deg gallery and each 55-deg, 65-deg, and 75-deg probe, and compared it with benchmarks including discriminative approaches: LDA [37], DATER [45], MvDA [29], GMLDA [39], and CCA [22].”