The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 10, 2017

Filed:

Jul. 24, 2014
Applicant:

Xerox Corporation, Norwalk, CT (US);

Inventors:

Guillaume Bouchard, Saint-Martin-le Vinoux, FR;

Cedric Philippe Charles Jean Ghislain Archambeau, Berlin, DE;

Behrouz Behmardi, San Jose, CA (US);

Assignee:

XEROX CORPORATION, Norwalk, CT (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 99/00 (2010.01); G06F 17/30 (2006.01);
U.S. Cl.
CPC ...
G06N 99/005 (2013.01); G06F 17/30 (2013.01);
Abstract

In multi-view learning, optimized prediction matrices are determined for V≧2 views of n objects, and a prediction of a view of an object is generated based on the optimized prediction matrix for that view. An objectiveis optimized, whereinis a set of parameters including at least the V prediction matrices and a concatenated matrix comprising a concatenation of the prediction matrices, andcomprises a sum including at least a loss function for each view, a trace norm of the prediction matrix for each view, and a trace norm of the concatenated matrix.may further include a sparse matrix for each view, withfurther including an element-wisenorm of the sparse matrix for each view.may further include regularization parameters scaling the trace norms of the prediction matrices and the trace norm of the concatenated matrix.


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