The survey design involving a screener or filter question followed by a series of more detailed questions is used in many surveys. A concern in these surveys is that respondents may learn that reporting a certain answer to a filter question will extend the interview through a series of follow-up questions and thus will alter their responses in a way that avoids their exposure to follow-up quest...

We have recently made explicit the precise connection between the optimization of orthonor-mal lter banks (FB's) and the principal component property: The principal component lter bank (PCFB) is optimal whenever the minimization objective is a concave function of the subband variances of the FB. This explains PCFB optimality for compression, progressive transmission and various hitherto unnotic...

When a hazardous substance is diffused, it is necessary to identify the pollutant source and respond immediately. However, there are many cases in which damage is caused without a clear understanding of where the pollutant source is located. There are three groups of identifying pollutant source information Liu and Zhai, 2007 : the probability method, forward method, and backward method. In our...

filter is one of the main components of embankment dams. by a simple but effective performance, filter protects the dam against erosion and soil scouring in impervious core caused by leakage (piping) and makes it safe. interaction between filter and erodible base soil is a complex phenomenon which is dependent upon several factors, and has challenged researchers for better understanding the fil...

© 2010 Gibak Kim 921 It has been shown that the principal subspace-based multichannel Wiener filter (MWF) provides better performance than the conventional MWF for suppressing interference in the case of a single target source. It can efficiently estimate the target speech component in the principal subspace which estimates the acoustic transfer function up to a scaling factor. However, as the ...

An ensemble Kalman filter (EnKF) is used to assimilate data onto a non-linear chaotic model, coupling two kinds of variables. The first kind of variables of the system is characterized as large amplitude, slow, large scale, distributed in eight equally spaced locations around a circle. The second kind of variables are small amplitude, fast, and short scale, distributed in 256 equally spaced loc...

Shot boundary detection is an important for retrieval of visual media in multimedia system. Video temporal segmentation algorithms use thresholding techniques to identify both abrupt shot changes and gradual shot transitions. Thresholding methods frequently provide false positives due to large variations in gradual transition regions. The principal components decomposition and the progressive n...

An algorithm for filtering the images contaminated by additive white Gaussian noise is proposed. The algorithm uses the groups of Hadamard transformed patches of discrete cosine coefficients to reject noisy components according to Wiener filtering approach. The groups of patches are found by the proposed block similarity search algorithm of reduced complexity performed on block patches in trans...

This paper presents a system for 3D Pose estimation of cyclic activities (e.g. walking, jogging). Principal Component Analysis is used to compress the high dimensional space of poses. Human activities are encoded by Hidden Markov Models, overlaid on Gaussian Mixture Models. A generative approach based on the Annealed Particle Filter is used to estimate poses from silhouettes derived by a monocu...