Expanding the family of Grassmannian kernels: An embedding perspective

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8695 LNCS, Issue PART 7, 2014, Pages 408-423

  Harandi, Mehrtash T ^a,b   Salzmann, Mathieu ^a,b   Jayasumana, Sadeep ^a,b   Hartley, Richard ^a,b   Li, Hongdong ^a,b  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^b CSIRO   (Australia)

Author keywords

Grassmann manifolds; kernel methods; Pl cker embedding

Indexed keywords

COMPUTER SCIENCE; COMPUTERS;

EUCLIDEAN GEOMETRY; GRASSMANN MANIFOLD; KERNEL METHODS; POSITIVE DEFINITE; POSITIVE DEFINITE KERNELS; RIEMANNIAN MANIFOLD; TARGET FUNCTIONS; VISUAL RECOGNITION;

ARTIFICIAL INTELLIGENCE;

EID: 84906335991     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10584-0_27     Document Type: Conference Paper

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