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We present a Bayesian approach to inverse scattering problems of reconstructing the rotation angle in clockwise direction of an acoustically sound-soft obstacle from phaseless far-field data in two di...
All submitted conference papers will be blind peer reviewed by three competent reviewers. After a careful reviewing process, all accepted papers after proper registration and presentation, will be pub...
Typical devices for acquiring distance data are laser scanners. Combining these with higher resolution image data is state of the art.Recently, camera systems are available providing distance and imag...
We present a heuristic for minimizing the rank of a positive semidefinite matrix over a convex set. We use the logarithm of the determinant as a smooth approximation for rank, and locally minimize thi...
Information distributed through the Web keeps growing faster day by day, and for this reason, several techniques for extracting Web data have been suggested during last years. Often, extraction tasks ...
We propose an image conspicuity index that combines three factors: spatial dissimilarity, spatial distance andentral bias. The dissimilarity between image patches is evaluatedin a reduced dimensional ...
We propose an image conspicuity index that combines three factors: spatial dissimilarity, spatial distance andcentral bias. The dissimilarity between image patches is evaluatedin a reduced dimensional...
This paper presents an artificial neural network- (ANN) based approach to improve the performance of the distance relaying algorithm. The proposed distance relay uses magnitudes of voltages and curren...
Sign Language Recognition (SLR) systems are mostly based on Hidden Markov Model (HMM) and have achieved excellent results. However, the assumption of frame independence in HMM makes it inconsistent wi...
In this paper, we address the problem of classifying image sets, each of which contains images belonging to the same class but covering large variations in, for instance, viewpoint and illumination. ...
In this paper, we address the problem of classifying image sets, each of which contains images belonging to the same class but covering large variations in, for instance, viewpoint and illumination. W...
Sign Language Recognition (SLR) systems are mostly based on Hidden Markov Model (HMM) and have achieved excellent results. However, the assumption of frame independence in HMM makes it inconsistent wi...
Scientists find that the human perception is based on the similarity on the manifold of data set. Isometric feature mapping (Isomap) is one of the representative techniques of manifold. It is intuitiv...
Afast motion estimation algorithm, called distance-dependent thresholding search(DTS), is presented for block-based true motion estimation applications, and introduces the novel concept of variable di...

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