The large number of spectral variables in most data sets encountered in spectral chemometrics often renders the prediction of a dependent variable uneasy. The number of variables ...
— Franceschetti et al. [1] have recently shown that per-node throughput in an extended (i.e., geographically expanding), ad hoc wireless network with Θ(n) randomly distributed n...
Awlok Josan, Mingyan Liu, David L. Neuhoff, S. San...
We investigate whether dimensionality reduction using a latent generative model is beneficial for the task of weakly supervised scene classification. In detail we are given a set ...
In this paper, we propose two novel methods for face recognition under arbitrary unknown lighting by using spherical harmonics illumination representation, which require only one t...
Hidden Markov chains (HMC) are widely applied in various problems occurring in different areas like Biosciences, Climatology, Communications, Ecology, Econometrics and Finances, ...