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Amos Y. Johnson, Ph.D. - Publications

Affiliations: 
2002 Georgia Institute of Technology, Atlanta, GA 
Area:
Computer Science
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7 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2009 Hamid R, Maddi S, Johnson A, Bobick A, Essa I, Isbell C. A novel sequence representation for unsupervised analysis of human activities Artificial Intelligence. 173: 1221-1244. DOI: 10.1016/J.Artint.2009.05.002  0.553
2003 Johnson AY, Sun J, Bobick AF. Predicting large population data cumulative match characteristic performance from small population data Lecture Notes in Computer Science. 821-829. DOI: 10.1007/3-540-44887-X_95  0.421
2003 Johnson AY, Sun J, Bobick AF. Predicting large population data cumulative match characteristic performance from small population data Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2688: 821-829.  0.561
2002 Johnson AY, Bobick AF. Relationship between identification metrics: Expected Confusion and Area under a ROC curve Proceedings - International Conference On Pattern Recognition. 16: 662-666.  0.572
2001 Johnson AY, Bobick AF. A multi-view method for gait recognition using static body parameters Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2091: 301-311. DOI: 10.1007/3-540-45344-X_44  0.619
2001 Bobick AF, Johnson AY. Gait recognition using static, activity-specific parameters Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1.  0.627
2001 Kwatra V, Bobick AF, Johnson AY. Temporal integration of multiple silhouette-based body-part hypotheses Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2.  0.534
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