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Browse All Reviews > Computing Methodologies (I) > Image Processing And Computer Vision (I.4) > Enhancement (I.4.3) > Filtering (I.4.3...)
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1-10 of 12
Reviews about "Filtering (I.4.3...)":
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Neural graph collaborative filtering
Wang X., He X., Wang M., Feng F., Chua T. SIGIR 2019 (Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Paris, France, Jul 21-25, 2019) 165-174, 2019. Type: Proceedings
Typically, collaborative filtering (CF) is simply a nearest neighbor (NN) algorithm used either in its original form or in machine learning (ML), especially in supervised learning, to predict user preferences in recommender systems. He...
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Oct 14 2020 |
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 Introducing surprise and opposition by design in recommender systems
Bauer C., Schedl M. UMAP 2017 (Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, Bratislava, Slovakia, Jul 9-12, 2017) 350-353, 2017. Type: Proceedings
Christine Bauer and Markus Schedl, researchers at the Department of Computational Perception, Johannes Kepler University Linz, propose an approach to expanding the utility of recommender systems by developing capabilities to incorporat...
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Jul 26 2018 |
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Sharpening vector median filters
Lukac R., Smolka B., Plataniotis K. Signal Processing 87(9): 2085-2099, 2007. Type: Article
A sharpening vector median (VM) filter that simultaneously denoises and enhances vector-valued image signals is introduced in this paper. This filter makes use of the trimmed aggregated distance minimization concept and robust vector o...
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Sep 11 2007 |
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A new low latency parallel FIR filter scheme
Kalivas P., Vassilakis V., Meletis C., Pekmestzi K. Journal of VLSI Signal Processing Systems 39(3): 313-322, 2005. Type: Article
Digital finite impulse response (FIR) filters are among the most commonly implemented in hardware on digital signal processing (DSP) chips. This paper presents an interesting new array parallel scheme for the implementation of digital ...
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Oct 4 2006 |
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A lattice approach to image segmentation
Serra J. Journal of Mathematical Imaging and Vision 24(1): 83-130, 2006. Type: Article
Serra introduces a new approach to image segmentation that I would call “connective segmentation.” Theoretically speaking, the idea is that a segmentation criterion should associate to an image a connectivity on the...
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Aug 25 2006 |
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A sharpness dependent filter for mesh smoothing
Chen C., Cheng K. Computer Aided Geometric Design 22(5): 376-391, 2005. Type: Article
Mesh representation is commonly used to represent the surfaces of three-dimensional (3D) objects. When an object is represented as a computer readable file (for example, by laser scanning), the values captured may be subject to numeric...
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Feb 15 2006 |
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Adaptive vector median filtering
Lukac R. Pattern Recognition Letters 24(12): 1889-1899, 2003. Type: Article
Median filtering is a well-established method for restoring image quality in the presence of impulse or salt-and-pepper noise. This type of filtering pushes outliers at the ends of the ordered list of values of the pixels in the curren...
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Aug 20 2003 |
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Wigner filtering with smooth roll-off boundary for differentiation of noisy non-stationary signals
Georgakis A., Stergioulas L., Giakas G. Signal Processing 82(10): 1411-1415, 2002. Type: Article
A filtering method that uses the Wigner distribution to perform signal differentiation is presented in this paper. The method consists of computing the Wigner distribution for a signal, and applying a smooth roll-off filter to it, rath...
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May 29 2003 |
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Fast converging adaptive matched filter and adaptive cosine/coherence estimator
De Maio A. Signal Processing 82(10): 1417-1423, 2002. Type: Article
Detecting a signal in the presence of noise with an unknown covariance matrix is the problem considered in this paper. Although it considers the particular application of radar space-time adaptive processing (STAP), the problem occurs ...
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May 29 2003 |
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Adaptive-Scale Filtering and Feature Detection Using Range Data
Olson C. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(9): 983-991, 2000. Type: Article
The ideal application of filters and feature detectors need a scale to relate pixel size to object size. This report considers the case where stereoscopy has provided the distance to all pixels in the image so the relative scale at eac...
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Jan 1 2002 |
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