With very noisy data, having plentiful samples eliminates overfitting in nonlinear regression, but not in nonlinear principal component analysis (NLPCA). To overcome this problem...
While it is possible to accurately predict the execution time of a given iteration of an adaptive application, it is not generally possible to predict the data-dependent adaptive ...
— The development of large scale biometric systems requires experiments to be performed on large amounts of data. Existing capture systems are designed for fixed experiments and...
Lee Middleton, David K. Wagg, Alex I. Bazin, John ...
We present a top-down statistical modeling approach to explore the semantic structure in the American football video. First, a semantic space is defined where the video semantic ...
Abstract— Accurate self-localization capability is highly desirable in wireless sensor networks. A major problem in wireless sensor network localization is the flip ambiguity, w...