Since process and environmental variations can no longer be ignored in high-performance microprocessor designs, it is necessary to develop techniques for computing the sensitiviti...
Sanjay V. Kumar, Chandramouli V. Kashyap, Sachin S...
Abstract. Shape correspondence is the foundation for accurate statistical shape analysis; this is usually accomplished by identifying a set of sparsely sampled and well-corresponde...
Statistical shape analysis has become of increasing interest to the neuroimaging community due to its potential to precisely locate morphological changes and thus potentially discr...
Statistical shape analysis has become of increasing interest to the neuroimaging community due to its potential to locate morphological changes. In this paper, we present the a nov...
Martin Andreas Styner, Ipek Oguz, Rachel Gimpel Sm...
We present a unified model of what was traditionally viewed as two separate tasks: data association and intensity tracking of multiple topics over time. In the data association pa...