Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
Since networks and computing systems are vital components of today's life, it is of utmost importance to endow them with the capability to survive physical and logical faults...
In this paper, we describe development of a mobile robot which does unsupervised learning for recognizing an environment from action sequences. We call this novel recognition appr...
This paper describes the design and use of a synthetic Web proxy workload generator called ProWGen to investigate the sensitivity of Web proxy cache replacement policies to five se...
Automated detection of lesions in retinal images can assist
in early diagnosis and screening of a common disease:
Diabetic Retinopathy. A robust and computationally
efficient ap...
Saiprasad Ravishankar (University of Illinois Urba...