One of the major challenge in the detection of mental states is improving the accuracy of
brain activity-based detectors with additional information from extracranial signals. We …

Kernel methods such as the standard support vector machine and support vector regression
trainings take O(N^3) time and O(N^2) space complexities in their naïve implementations …

Technologies for object tracking can include accessing a video feed that captures an object
in at least a portion of the Video feed; operating a generative tracker to capture appear ance …

Explosive growth in data size, data complexity, and data rates, triggered by emergence of
high-throughput technologies such as remote sensing, crowd-sourcing, social networks, or …

Explosive growth in data size, data complexity, and data rates, triggered by emergence of
high-throughput technologies such as remote sensing, crowd-sourcing, social networks, or …

Support vector machines (SVMs) are hyperplane classifiers defined in a kernel induced
feature space. The high computational and space requirements for solving the conventional …