Robust regression techniques are critical to fitting data with noise in real-world applications. Most previous work of robust kernel regression is usually formulated into a dual fo...
In a variety of signal processing and communications contexts, erasures occur inadvertently or can be intentionally introduced as part of a data reduction strategy. This paper disc...
Petros Boufounos, Alan V. Oppenheim, Vivek K. Goya...
Abstract-- Most existing work on adaptive allocation of subcarriers and power in multiuser OFDM systems has focused on homogeneous traffic consisting of delay-constrained data (gua...
: We propose a new nonparametric family of oscillation heuristics for improving linear classifiers in the two-group discriminant problem. The heuristics are motivated by the intuit...
: Visualization software for three dimensional digital brain atlases present many challenges in design and implementation. These challenges include the design of an effective human...
Carl Gustafson, Oleh J. Tretiak, Louise Bertrand, ...