A successful class of image denoising methods is based on Bayesian approaches working in wavelet representations. The performance of these methods improves when relations among th...
Valero Laparra, Juan Gutierrez, Gustavo Camps-Vall...
Compressive sensing accurately reconstructs a signal that is sparse in some basis from measurements, generally consisting of the signal’s inner products with Gaussian random vec...
In real-world applications of visual recognition, many factors—such as pose, illumination, or image quality—can cause a significant mismatch between the source domain on whic...
As the field of e-government expands and grows, the number of academic courses, professional workshops, online courses, and continuing education opportunities in this field also i...
Nathan Botts, Benjamin L. Schooley, Thomas A. Hora...
A significant portion of the population is at risk of being excluded from online learning environments. People with learning and/or physically disabilities may be prevented from p...