Abstract--Ant Colony Optimization (ACO) is a problemsolving technique that was inspired by the related research on the behavior of real-world ant colony. In the domain of Network-o...
This paper presents a framework for efficient HMM-based estimation of unreliable spectrographic speech data. It discusses the role of Hidden Markov Models (HMMs) during minimum mea...
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...
At the heart of all garbage collectors lies the process of identifying and processing reference fields within an object. Despite its key role, and evidence of many different impl...
Robin Garner, Stephen M. Blackburn, Daniel Frampto...
Bounding volume hierarchies (BVHs) are a popular acceleration structure choice for animated scenes rendered with ray tracing. This is due to the relative simplicity of refitting ...
Daniel Kopta, Thiago Ize, Josef B. Spjut, Erik Bru...