In this article we report on a study of how to use the context tree weight-ing (CTW) algorithm for lossless image compression. This algorithm has been shown to perform optimally, in terms of redundancy, for a wide class of data sources. Our study shows that this algorithm can successfully be applied to image compression even in its basic form. We also report on possible modiica-tions of the bas...

The problem of separating a linear or nonlinear mixture of independent sources has been the focus of many studies in recent years. It is well known that the classical principal component analysis method, which is based on second order statistics, performs poorly even in the linear case, if the sources do not have Gaussian distributions. Based on this fact, several algorithms take in account hig...

OBJECTIVE To determine whether weight placed on the trunk in response to directional balance loss would enhance function and stability in people with multiple sclerosis (MS). DESIGN Quasi-experimental study in which subjects served as their own controls. SETTING Research laboratory. PARTICIPANTS Subjects (N=16) age 20 to 65 years with MS recruited through the Northern California Chapter o...

In this paper, the selection of H = weighting functions for general practical applications is investigated. It is shown that an H = weighting function for a single-input}single-output (SISO) plant can be obtained by considering a series of connections of elementary low-order plants. For a constrained control e!ort, an explicit weighting function expression is derived for the "rst time. A novel ...

MOTIVATION The calculation of reliable alignments for structured RNA is still considered as an open problem. One approach is the incorporation of secondary structure information into the optimization criteria by using a weighted sum of sequence and structure components as an objective function. As it is not clear how to choose the weighting parameters, we use multi-objective optimization to cal...

Optimal monetary stabilisation in the standard New Keynesian framework usually assumes a policy loss function from outside the model. In this paper, in contrast, the objective arises directly from the model. Credit constraints and sticky nominal debt contracts imply that monetary stabilisation has asymmetric impacts depending on whether consumers are creditconstrained. The policy problem is to ...

This paper presents a least-pth approach for the design of complex-coefficient FIR digital filters with low group delay in the minimax sense. Features of the proposed approach include: it does not need to adapt the weighting function involved and no constrains are imposed during the course of optimization. More important, the algorithm enjoys global convergence to the minimax design regardless ...

This chapter introduces a novel technique to evaluate composite power system reliability indices and their sensitivities with respect to the control parameters using a dynamically directed binary Particle Swarm Optimization (PSO) search method. A key point in using PSO in power system reliability evaluation lies in selecting the weighting factors associated with the objective function. In this ...

Based on fuzzy set theory, this paper proposes a novel weighting method for spatial adaptive patch-based image denoising algorithm which can be considered as an extension of nonlocal means filtering. First, a fuzzy clustering algorithm for weighting data points is applied to reduce the estimate bias which arises from the unrelated points. The weighting function is determined by optimal fuzzy pa...

A general framework of language model task adaptation is to select documents in a large training set based on a language model estimated on a development data. However, this strategy has a deficiency that the selected documents are biased to the most frequent patterns in the development data. To address this problem, a new task adaptation method is proposed that selects documents in the trainin...