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IET Image Processing, ISSN 1751-9659, 10/2015, Volume 9, Issue 10, pp. 901 - 907
Journal Article
Sensor Review, ISSN 0260-2288, 01/2017, Volume 37, Issue 1, pp. 33 - 42
Purpose The purpose of this paper is to propose a color-texture classification approach which uses color sensor information and texture features jointly. High... 
Significant point selection | Noise resistant | Visual sensor technologies | Local binary patterns | Colour plane features | Colour texture classification | INSTRUMENTS & INSTRUMENTATION | SCALE | Datasets | Histograms | Accuracy | Algorithms | Noise | Image retrieval | Classification | Digital cameras | Sensors | Methods
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2017, Volume 10358, pp. 147 - 162
Conference Proceeding
Journal of Intelligent and Fuzzy Systems, ISSN 1064-1246, 2014, Volume 27, Issue 4, pp. 1639 - 1648
IFP-FIM and GIFP-FCM are two typical enhanced fuzzy clustering algorithms in which the rationale of fuzzy clustering and its robustness to noise and/or... 
fuzzy partitions | noise-resistant penalty term | equivalence | Fuzzy clustering algorithm | CLUSTERING-ALGORITHM | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Fuzzy logic | Partitions | Random noise | Algorithms | Clusters | Fuzzy set theory | Fuzzy | Clustering
Journal Article
Proceedings of SPIE - The International Society for Optical Engineering, ISSN 0277-786X, 10/2018, Volume 10789, pp. 1078923 - 1078923-6
Stricter requirements for new satellite systems for remote sensing of the Earth (ERS) require the use of video cameras of different frequency ranges with high... 
Earth remote sensing | High-resolution | Image coding | Algorithms of noise-resistant coding | Image compression | Quasi-orthogonal matrix | Mersenne-Walsh matrix | Satellite system
Conference Proceeding
2016 IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW), 02/2016, pp. 290 - 293
At present, especially urgent task is ensuring a high level of the noise immunity of digital information channels (DIC) due to the constant tightening of... 
Algorithm design and analysis | code signal feature | coding | Codecs | Signal processing algorithms | noise immunity | Binary codes | Encoding | information channel | Decoding | Complexity theory | noise-resistant codes | decoding | Level (quantity) | Algorithms | Coding | Noise | Electronics | Constants | Immunity | Channels
Conference Proceeding
2012 11th International Conference on Machine Learning and Applications, 12/2012, Volume 2, pp. 551 - 557
Boosting methods have been successfully applied in a wide variety of machine learning applications. In the context of data quality issues, a number of variants... 
Training | noise-resistant boosting algorithms | Noise | Training data | class-skewed data | Boosting | class noise | Software | Noise measurement | Noise level
Conference Proceeding
2017 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), 2017, pp. 748 - 752
Providing a high level of informational reliability and, firstly, noise immunity is the main problem of information channel (IC) synthesis. Quantitatively... 
code signal feature | code with constant weight | Additives | Encoding | information channel | Decoding | Integrated circuits | coding | Binary codes | Delays | Reliability | noise-resistant codes | algebraic codes | Noise-resistant codes | Algebraic codes | Code signal feature | Coding | Information channel | Code with constant weight
Conference Proceeding
2016 IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW), 02/2016, pp. 438 - 441
At present, especially urgent task is ensuring a high level of the noise immunity of digital information channels (DIC) due to the constant tightening of... 
Algorithm design and analysis | code signal feature | coding | Codecs | Signal processing algorithms | noise immunity | Binary codes | Encoding | information channel | Decoding | Complexity theory | noise-resistant codes | decoding | Level (quantity) | Algorithms | Coding | Noise | Electronics | Constants | Immunity | Channels
Conference Proceeding
Journal Article
Optical Engineering, ISSN 0091-3286, 8/2012, Volume 51, Issue 8, pp. 087002 - 087002
A challenge for current edge-preserving image decompositions is to deal with noisy images. Gradient- or magnitude difference-based techniques regard the noise... 
local structure tensor | multiscale image decomposition | noise-resistant | structure-preserving smoothing | weighted least squares | Local structure tensor | Structure-preserving smoothing | Multiscale image decomposition | Weighted least squares | Noise-resistant | SPACE | VIDEO ABSTRACTION | OPTICS | ANISOTROPIC DIFFUSION | EDGE
Journal Article
The Visual Computer, ISSN 0178-2789, 6/2018, Volume 34, Issue 6, pp. 1129 - 1141
Journal Article
Signal Processing, ISSN 0165-1684, 2003, Volume 83, Issue 3, pp. 611 - 626
This paper investigates a projection-based group delay scheme (PGDS) likelihood measure that significantly reduces noise contamination in speech recognition.... 
Hidden Markov model | Likelihood measure | Noise-resistant feature | Projection-based group delay scheme | Model compensation | model compensation | hidden Markov model | projection-based group delay scheme | likelihood measure | SYSTEMS | noise-resistant feature | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IET International Communication Conference on Wireless Mobile and Computing (CCWMC 2011), 2011, Volume 2011, Issue 589, pp. 351 - 354
Audio fingerprint is an effective representation of an audio signal using low-level features and can be used to identify unlabeled audio based on its content.... 
Information storage and retrieval | Signal processing and detection | Speech and audio signal processing | Digital signal processing | Audio fingerprint | noise resistant | hash | local energy centroid
Conference Proceeding
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