The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
We analyze the modulation of a light field via nonrefracting attenuators. In the most general case, any desired modulation can be achieved with attenuators having four degrees of ...
Ashok Veeraraghavan, Amit K. Agrawal, Ramesh Raska...
Shape analysis requires invariance under translation, scale and rotation. Translation and scale invariance can be realized by normalizing shape vectors with respect to their mean ...
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...