Paper Info
Title
Algebraic Clustering of Affine Subspaces
Abstract
Subspace clustering is an important problem in machine learning with many applications in computer vision and pattern recognition. Prior work has studied this problem using algebraic, iterative, statistical, low-rank and sparse representation techniques. While these methods have been applied to both linear and affine subspaces, theoretical results have only been established in the case of linear s...
Year
DOI
Venue
2015
10.1109/TPAMI.2017.2678477
IEEE Transactions on Pattern Analysis and Machine Intelligence
Keywords
Field
DocType
Silicon,Complexity theory,Computer vision,Geometry,Motion segmentation,Clustering methods
Affine transformation,Affine shape adaptation,Affine space,Computer science,Artificial intelligence,Affine plane,Affine hull,Affine geometry,Discrete mathematics,Algebra,Affine combination,Pattern recognition,Affine coordinate system
Journal
Volume
Issue
ISSN
40
2
0162-8828
Citations 
PageRank 
References 
3
0.38
15
Authors
2
Name
Order
Citations
PageRank
Manolis C. Tsakiris1509.79
rene victor valqui vidal25331260.14