Results 211 to 220 of about 297,748 (266)

An improved filtering algorithm based on median filtering algorithm and medium filtering algorithm

2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI), 2012
This paper propose an improved image filtering algorithm which is based on median filteringing algorithm and medium filteringing algorithm according to the simpleness of median filteringing algorithm and the significant denoising effect of medium filteringing algorithm.
Heng Liu, Ningning Zhou
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Adaptive algorithms with filtered regressor and filtered error

Mathematics of Control, Signals and Systems, 1989
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
William A. Sethares, Brian D. O. Anderson, C. Richard Johnson Jr.   +2 more
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A fast morphological filtering algorithm

Systems and Computers in Japan, 2003
AbstractThis paper proposes an algorithm for fast morphological filtering using structuring elements of arbitrary two‐dimensional shape. The conventional fast morphological filtering has the constraint that the structuring element should be decomposable.
Yoshihiro Hagihara, Hidefumi Kobatake
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Convergent algorithms for collaborative filtering

Proceedings of the 4th ACM conference on Electronic commerce, 2003
A collaborative filtering system analyzes data on the past behavior of its users so as to make recommendations --- a canonical example is the recommending of books based on prior purchases. The full potential of collaborative filtering implicitly rests on the premise that, as an increasing amount of data is collected, it should be possible to make ...
Jon M. Kleinberg, Mark Sandler 0002
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A comparison of image filtering algorithms

ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
This paper compares four image filtering algorithms on common data sets for various signal to noise ratios and white Gaussian noise. The algorithms are the median filter, the Wallis filter, the reduced update Kalman filter, and a multiple model, decision-directed filter.
Subrahmanyam Dravida, John W. Woods, W. Shen   +2 more
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A dataflow algorithm for digital filtering

ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
This paper examines the use of dataflow parallel processing for the execution of digital filtering algorithms. The dataflow language used is Lucid. FIR and recursive filtering algorithms are formulated in Lucid. Analysis of the parallelism achievable in the dataflow implementations is presented.
Leah H. Jamieson, Edward A. Ashcroft
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Can the backprojection filtering algorithm be as accurate as the filtered backprojection algorithm?

Proceedings of 1994 IEEE Nuclear Science Symposium - NSS'94, 2002
For many years people have realized that the image reconstructed by the filtered backprojection (FBP) algorithm is more accurate than the image reconstructed by the backprojection filtering (BpjF) algorithm. The FBP algorithm is implemented in two steps: (1) convolve the projections with a kernel function, then (2) backproject the modified projections.
G.L. Zeng, G.T. Gullberg
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Filtering Algorithms for the Same Constraint

2004
We define the Same and UsedBy constraints. UsedBy takes two sets of variables X and Z such that |X| ≥ |Z| and assigns values to them such that the multiset of values assigned to the variables in Z is contained in the multiset of values assigned to the variables in X. Same is the special case of UsedBy in which |X|=|Z|.
Beldiceanu, N., Katriel, I., Thiel, S.
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