Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based Ranking Approach

Proceedings of the IEEE International Conference on Computer Vision

Volumn 2017-October, Issue , 2017, Pages 1407-1415

  Roffo, Giorgio ^a   Melzi, Simone ^b   Castellani, Umberto ^b   Vinciarelli, Alessandro ^a  

^a UNIVERSITY OF GLASGOW   (United Kingdom)

^b UNIVERSITY OF VERONA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; GRAPHIC METHODS; IMAGE PROCESSING; OBJECT RECOGNITION;

COMBINATORIAL PROBLEM; COMPUTER VISION APPLICATIONS; FEATURE SELECTION METHODS; GENERATIVE PROCESS; GRAPH BASED RANKINGS; GRAPH-BASED FEATURES; STRONG ROBUSTNESS; VISUAL OBJECT TRACKING;

FEATURE EXTRACTION;

EID: 85041903679     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2017.156     Document Type: Conference Paper

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