Matthew Lawlor, Ph.D.
Affiliations: | 2014 | Yale University, New Haven, CT |
Area:
Computer VisionGoogle:
"Matthew Lawlor"Mean distance: 18.69 (cluster 29)
Parents
Sign in to add mentor| Steven W. Zucker | grad student | 2014 | Yale | |
| (Tensor Decomposition by Modified BCM Neurons Finds Mixture Means Through Input Triplets.) | ||||
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Publications
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| Lawlor M, Zucker SW. (2014) Feedforward learning of mixture models Advances in Neural Information Processing Systems. 3: 2564-2572 |
| Le MT, Sweeney J, Lawlor MF, et al. (2013) Discovering thematic structure in political datasets Ieee Isi 2013 - 2013 Ieee International Conference On Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics. 163-165 |
| Le MT, Lawlor M, Russett BM, et al. (2013) Analysis of un voting patterns via diffusion geometry and thematic clustering Proceedings - Ieee 13th International Conference On Data Mining Workshops, Icdmw 2013. 544-551 |
| Lawlor M, Zucker SW. (2013) Third-order edge statistics: Contour continuation, curvature, and cortical connections Advances in Neural Information Processing Systems |
| Dimitrov P, Lawlor M, Zucker SW. (2012) Distance images and intermediate-level vision Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6667: 653-664 |
| Zucker S, Lawlor M, Holtmann-Rice D. (2011) Third Order Edge Statistics Reveal Curvature Dependency Journal of Vision. 11: 1073-1073 |
| Lawlor M, Holtmann-Rice D, Huggins P, et al. (2009) Boundaries, shading, and border ownership: A cusp at their interaction. Journal of Physiology, Paris. 103: 18-36 |