TSP
2008
13 years 4 months ago
2008
We consider sequential regression of individual sequences under the square error loss. Using a competitive algorithm framework, we construct a sequential algorithm that can achieve...
JACIII
2007
13 years 4 months ago
2007
We study the problem of approximating pseudoBoolean functions by linear pseudo-Boolean functions. Pseudo-Boolean functions generalize ordinary Boolean functions by allowing the fu...
TIP
2008
13 years 4 months ago
2008
Abstract--We propose an algorithm for designing linear equalizers that maximize the structural similarity (SSIM) index between the reference and restored signals. The SSIM index ha...
PERVASIVE
2008
Springer
13 years 4 months ago
2008
Springer
Energy-efficency is a key concern when designing protocols for wireless sensor networks (WSN). This is of particular importance in commercial applications where demonstrable retur...
NETWORKS
2008
13 years 4 months ago
2008
Given a graph where increasing the weight of an edge has a nondecreasing convex piecewise linear cost, we study the problem of finding a minimum cost increase of the weights so tha...
JMIV
2006
13 years 4 months ago
2006
We present a novel representation of shape for closed contours in R2 or for compact surfaces in R3 explicitly designed to possess a linear structure. This greatly simplifies linear...
JC
2006
13 years 4 months ago
2006
We study the optimal approximation of the solution of an operator equation A(u) = f by four types of mappings: a) linear mappings of rank n; b) n-term approximation with respect t...
CSDA
2007
13 years 4 months ago
2007
Functional mixed-effects models are very useful in analyzing functional data. A general functional mixed-effects model that inherits the flexibility of linear mixed-effects model...
INFORMATICALT
2006
13 years 4 months ago
2006
Abstract. The aim of the given paper is the development of an approach for parametric identification of Hammerstein systems with piecewise linear nonlinearities, i.e., when the sat...
IJAR
2006
13 years 4 months ago
2006
An important class of continuous Bayesian networks are those that have linear conditionally deterministic variables (a variable that is a linear deterministic function of its pare...