Search Results for author: Mark S. Nixon

Found 2 papers, 0 papers with code

Method to Assess the Temporal Persistence of Potential Biometric Features: Application to Oculomotor, and Gait-Related Databases

no code implementations13 Sep 2016 Lee Friedman, Ioannis Rigas, Mark S. Nixon, Oleg V. Komogortsev

We suggest that the best way to assess temporal persistence is to perform a test-retest study, and assess test-retest reliability.

Enriching Texture Analysis with Semantic Data

no code implementations CVPR 2013 Tim Matthews, Mark S. Nixon, Mahesan Niranjan

Low-level visual features used by existing texture descriptors are then assessed in terms of their correspondence to the semantic space.

Feature Selection Texture Classification +1

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