Digital imager sensor responses must be transformed to calibrated (human) color representations for display or print reproduction. Errors in these color rendering transformations can arise from a variety of sources, including (a) noise in the acquisition process (including photon noise and sensor noise) and (b) sensor spectral responsivities inconsistent with those of the human cones. These err...

This paper presents an upper bound for the estimation error of the constrained lasso, under the high-dimensional (n < p) setting. In contrast to existing results, the error bound in this paper is sharp, is valid when the parameter to be estimated is not exactly sparse (e.g., when the parameter is weakly sparse), and shows explicitly the effect of over-estimating the `1-norm of the parameter to ...

This article proposes and studies a link between statistics and the theory of Dirichlet forms used to compute errors. The error calculus based on Dirichlet forms is an extension of classical Gauss’ approach to error propagation. The aim of this paper is to derive error structures from measurements. The links with Fisher’s information lay the foundations of a strong connection with experiment. H...

We present a simple and inexpensive method for computing the estimates of error in a hierarchical linear radiosity method. Similar to the approach used in [1] for constant radiosity method, we compute lower and upper linear bounds of the actual radiosity function over the surface elements. We carry out this by computing linear upper and lower bounds of the kernel of the radiosity equation. Also...

nowadays, software cost estimation (sce) with machine learning techniques are more performance than other traditional techniques which were based on algorithmic techniques. in this paper, we present a new hybrid model of multi-layer perceptron (mlp) artificial neural network (ann) and ant colony optimization (aco) algorithm for high accuracy in sce called multilayer perceptron ant colony optimi...

An estimator design problem is considered which involves both L 2 (least squares) and H ~ (worst-case frequency-domain) aspects. Specifically, the goal of the problem is to minimize an L 2 state-estimation error criterion subject to a prespecified H a constraint on the state-estimation error. The H ~ estimation-error constraint is embedded within the optimization process by replacing the covari...

Head-mounted eye tracking has significant potential for mobile gaze-based interaction with ambient displays but current interfaces lack information about the tracker’s gaze estimation error. Consequently, current interfaces do not exploit the full potential of gaze input as the inherent estimation error can not be dealt with. The error depends on the physical properties of the display and const...