Browsing by Author "Mukherjee, Sayan"
Now showing items 1-3 of 3
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A Case for Quantifying Statistical Robustness of Specialized Probabilistic AI Accelerators
Lebeck, Alvin; Zhang, Xiangyu; Mukherjee, Sayan (2019 IBM IEEE CAS/EDS – AI Compute Symposium, 2019-10-02) -
A new fully automated approach for aligning and comparing shapes.
Daubechies, Ingrid; Boyer, Douglas; Yapuncich, Gabriel; Puente, Jesus; Gladman, Justin T; Glynn, Chris; Mukherjee, Sayan (Anatomical record (Hoboken, N.J. : 2007), 2015-01)Three-dimensional geometric morphometric (3DGM) methods for placing landmarks on digitized bones have become increasingly sophisticated in the last 20 years, including greater degrees of automation. One aspect shared by ... -
Development and Assessment of Fully Automated and Globally Transitive Geometric Morphometric Methods, With Application to a Biological Comparative Dataset With High Interspecific Variation.
Daubechies, Ingrid; Boyer, Douglas; Yapuncich, Gabriel; Gao, Tingran; Mukherjee, Sayan (Anatomical record (Hoboken, N.J. : 2007), 2018-04)Automated geometric morphometric methods are promising tools for shape analysis in comparative biology, improving researchers' abilities to quantify variation extensively (by permitting more specimens to be analyzed) and ...