The advent of Optimality Theory has revived the interest in articulatorily and perceptually driven markedness in phonological research. To some researchers, the cross-linguistic prevalence of such markedness relations is indication that synchronic phonological grammar should include phonetic details. However, there are at least two distinct ways in which phonetics can be incorporated in an opti...

This paper presents a new approach to discrete choice analysis for risky prospects. Conventional discrete choice analysis focuses on riskless prospects and does not deal with the scenario where the alternatives that the decision-makers choose from are associated with risk. In this paper, we investigate decisionmakers’ risk perception and choice behaviour in choice experiments when they are faci...

The context-tree weighting algorithm [4] is a universal source coding algorithm for binary tree sources. In [2] the algorithm is modified for byte-oriented tree sources. This paper describes the context-tree branch-weighting algorithm, which can reduce the number of parameters for such sources, without increasing the complexity significantly.

The CHaracteristic-function-Enabled Source Separation (CHESS) method for independent component analysis (ICA) is based on approximate joint diagonalization (AJD) of Hessians of the observations’ empirical log-characteristicfunction, taken at selected off-origin “processing points”. As previously observed in other contexts, the AJD performance can be significantly improved by optimal weighting, ...

In this paper, we consider data driven control of Hammerstein systems. For such systems a common structure is transfer function followed by static output nonlinearity that tries to cancel the input system, which modeled as polynomial or piece-wise linear function. The part controller used achieve desired disturbance rejection and tracking properties. To design controller, propose weighted avera...

This study proposed a weighting function for a dynamic (DP) programming approach as the cost function to handle beat tracking. The function is utilized to adapt bandwidth of tempo deviation which reciprocal represents likelihood of relative beat position. The beat tracking surpass those scores of other algorithms for MAZ dataset, in which seven out of ten performance indexes outperforms in MIRE...

To find objects of interest in a cluttered and continually changing visual environment, humans must often ignore salient stimuli that are not currently relevant to the task at hand. Recent neuroimaging results indicate that the ability to prevent salience-driven distraction depends on the current level of attentional control activity in frontal cortex, but the specific mechanism by which this c...

Input function noise contributes to model-predicted values and should be accounted for during parameter estimation. This problem has been examined in the context of PET data analysis using a noisy image-derived arterial input function. Huesman and Mazoyer (1987 Phys. Med. Biol 32 1569-79) incorporated the effect of error in the measured input function into the objective function and observed a ...

In this paper, we propose a new depth map upsampling method to increase the depth image resolution using edge information. Although the joint bilateral upsampling (JBU) method expands the resolution of the depth map using two weighting functions, the complexity of JBU is relatively high. In the proposed upsampling method, we reduce the complexity of depth map upsmapling operation using a color ...