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Learning Transformations for Clustering and Classification

Learning Transformations for Clustering and Classification

9 September 2013
Qiang Qiu
Guillermo Sapiro
ArXivPDFHTML

Papers citing "Learning Transformations for Clustering and Classification"

4 / 4 papers shown
Title
Irregular Tensor Low-Rank Representation for Hyperspectral Image Representation
Irregular Tensor Low-Rank Representation for Hyperspectral Image Representation
Bo Han
Yuheng Jia
Hui Liu
Junhui Hou
26
0
0
24 Oct 2024
Geometry-Aware Unsupervised Domain Adaptation
Geometry-Aware Unsupervised Domain Adaptation
You-Wei Luo
Chuan-Xian Ren
Ziliang Chen
8
0
0
21 Dec 2021
Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-spectral
  Hallucination and Low-rank Embedding
Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-spectral Hallucination and Low-rank Embedding
José Lezama
Qiang Qiu
Guillermo Sapiro
CVBM
21
137
0
21 Nov 2016
Bounds on the Number of Measurements for Reliable Compressive
  Classification
Bounds on the Number of Measurements for Reliable Compressive Classification
H. Reboredo
F. Renna
Robert Calderbank
M. Rodrigues
20
28
0
11 Jul 2016
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