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Object Recognition Based on Dual Tree Complex Wavelet Transform
2014
Research Journal of Applied Sciences Engineering and Technology
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In this study, an approach for object recognition based on Dual Tree Complex Wavelet Transform (DTCWT) is proposed. ...
The proposed approach attempts to extract the detailed information of objects from the multi scale representation by DTCWT. The proposed system is tested on Columbia Object Image Library (COIL-100). ...
METHODOLOGY The proposed approach for object recognition is built based on Dual Tree Complex Wavelet Transform (DTCWT). ...
doi:10.19026/rjaset.7.842
fatcat:s6eauzloyff3vldfy4cyde6z74
Texture feature extraction in the spatial-frequency domain for content-based image retrieval
[article]
2010
arXiv
pre-print
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Gabor wavelets, dual-tree complex wavelet and contourlets. ...
In particular, it gives an overview of statistical methodologies and techniques employed for texture feature extraction using most popular spatial-frequency image transforms, namely discrete wavelets, ...
Complex Wavelets for Texture Retrieval
The Dual-Tree Complex Wavelet Transform The dual-tree complex wavelet transform (DT-CWT) as introduced by Kingsbury [34] has been found to be a useful tool for ...
arXiv:1012.5208v1
fatcat:ew5orkvrx5gvbjpym4e7d2oyne
Wavelet-based Scale Saliency
[article]
2013
arXiv
pre-print
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The paper discusses different wavelet descriptors: discrete wavelet transform (DWT), wavelet packet transform (DWPT), quaternion wavelet transform (QWT) and best basis quaternion wavelet packet transform ...
While PSS uses pixel-value descriptors, WSS treats wavelet sub-bands as basis descriptors. ...
The shift-variance of real-wavelet transform can be avoided by complex wavelet transform de- sign; for instances, recently developed dual-tree complex wavelet transform
(DTCWT) [35], Quaternion wavelet ...
arXiv:1301.2884v1
fatcat:akled7atjfatxdjrxgrs76wtna
Texture Retrieval via the Scattering Transform
[article]
2015
arXiv
pre-print
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the Scattering transform subbands, due to the complex modulus performed on each one of them. ...
Moreover, we adopt a common approach of measuring the similarity of textures by comparing the subband histograms of a filterbank transform. ...
Additionally, we implemented a method based the Dual-Tree Complex Wavelet Transform (DT-CWT), inspired by [15] . The DT-CWT was performed by the DT-CWT Transform Pack 3 , version 4.3. ...
arXiv:1501.02655v4
fatcat:3qst4glhafgwdpi2nuucpuvfpy
Data Streams: Algorithms and Applications
2005
Foundations and Trends® in Theoretical Computer Science
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Some of the methods rely on metric embeddings, pseudo-random computations, sparse approximation theory and communication complexity. ...
Algorithms have to work with one or few passes over the data, space less than linear in the input size or time significantly less than the input size. ...
Acknowledgements My sincere thanks to the referees for correcting the mistakes without curbing my style. Also, thanks to the many coauthors and coresearchers who have led the way. ...
doi:10.1561/0400000002
fatcat:ozoe572tfnappg2zcpgtzdeasm
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
[article]
2021
arXiv
pre-print
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Remarkably, the essence of deep learning is built from two simple algorithmic principles: first, the notion of representation or feature learning, whereby adapted, often hierarchical, features capture ...
The last decade has witnessed an experimental revolution in data science and machine learning, epitomised by deep learning methods. ...
In a way, we hope to have presented "all you need to build the architectures that are all you need"-a play on words inspired by Vaswani et al. (2017) . ...
arXiv:2104.13478v2
fatcat:odbzfsau6bbwbhulc233cfsrom
Signature Methods in Machine Learning
[article]
2022
arXiv
pre-print
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The examples presented in this article are intended to bridge this communication gap and provide tractable working examples drawn from the machine learning context. ...
Signature-based techniques give mathematical insight into the interactions between complex streams of evolving data. ...
A truncated signature is extracted from each dyadic path • (c) The collection of the signatures of each dyadic path is transformed to the dyadic path-tree signature representation • (d) Tree-based convolution ...
arXiv:2206.14674v1
fatcat:3zbhnbkeojh4tmbqooolccsevq
Real-time embedded age and gender classification in unconstrained video
2015
2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Also, we introduce several novel improvements such as face alignment using the nose, and an illumination normalization method for unconstrained environments using bilateral filtering. ...
On a multi-resolution feature vector we have achieved up to 99.5% compression ratio for training data storage, and a maximum performance of 20 frames per second on an embedded Android platform. ...
Ullah et al. [123] tried LBP and Dyadic Wavelet Transform (DyWT) which is a multi-scale image transformation technique for gender recognition. ...
doi:10.1109/cvprw.2015.7301367
dblp:conf/cvpr/AzarmehrLLXL15
fatcat:5bxiwufnr5e4hfwssmomuqxr5a
GPGPU-based Gaussian Filtering for Surface Metrological Data Processing
2008
2008 12th International Conference Information Visualisation
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The algorithms employed in this thesis included various filtering techniques, discrete wavelet transform, and the fast Fourier Transform which cover the common operations implemented in most LTI systems ...
Thirdly, this thesis devised methods for carrying out result visualization directly on GPU by storing processed data in local GPU memory through making use of GPU's rendering device features to achieve ...
The discrete wavelet transform (DWT) uses a specific subset of scale and translation values where the chosen scale and translation are based on the powers of two, which is the so-called dyadic scales and ...
doi:10.1109/iv.2008.14
dblp:conf/iv/SuXJ08
fatcat:lpagxjxstjbj5lcdumztlpgolu
Directional multiresolution image representations
2005
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Recently, it has become evident that commonly used separable transforms (such as wavelets) are not necessarily best suited for images. ...
The first method constructs multiresolution, local and directional image expansions by using non-separable filter banks. ...
invariant. ...
doi:10.5075/epfl-thesis-2500
fatcat:75jtyyvb55f3je6fkbkd4epcci
29th Annual Computational Neuroscience Meeting: CNS*2020
2020
BMC Neuroscience
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Hence, feedback from downstream visual cortical areas to V1 for better decoding (recognition), through analysis-by-synthesis, should query for additional information and be mainly directed at the foveal ...
It suggests a massive loss of non-selected information from V1 downstream along the visual pathway. ...
Acknowledgments: The research reported here was supported, in part, by NSF grant #1544383 and in part by AFOSR grant #FA9550-16-1-0410. ...
doi:10.1186/s12868-020-00593-1
pmid:33342424
fatcat:edosycf35zfifm552a2aogis7a
Nonlinear and stochastic dynamics in the heart
2014
Physics reports
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The transition from a normal rhythm to an arrhythmia is a transition from regular electrical wave conduction to irregular or turbulent wave conduction in the heart, and thus this medical problem is also ...
dynamics from the molecular (microscopic) scale, to the organelle (mesoscopic) scale, to the cellular, tissue, and organ (macroscopic) scales. ...
We are grateful for grant support from National Institutes of Health and the American Heart Association (to A.G., J.W., and Z.Q.), National Natural Science Foundation of China (to G.H.), and Laubisch and ...
doi:10.1016/j.physrep.2014.05.002
pmid:25267872
pmcid:PMC4175480
fatcat:iqsua6tjunhknglo7yupo73re4
New Developments in Science and Technology - 60th Anniversary Special Issue, Beihang University (BUAA)
2012
Science
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There are 75 full-time teachers in the school, which annually graduates 150 undergraduates, 180 postgraduates, 50 Ph.D.s, and 10 students from abroad. ...
processing community with the development of the wavelet transform (WT). ...
Step 1 established the state-space models of the scaling and wavelet coefficients of the DSCS by using the Haar WT. ...
doi:10.1126/science.338.6104.274-c
fatcat:iurk5neuwvh2jgbohwevb5dicy
Data Fusion for Multi-Sensor Nondestructive Detection of Surface Cracks in Ferromagnetic Materials
[article]
2018
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However, the theoretical advantages of such directional transforms are not attained in practice with the given data. ...
Data fusion reduces the rate of false positives is reduced by a factor of six over the best individual sensor at a 10 μm deep groove. ...
The Dual-Tree Complex Wavelet Transform (DTCoWT) [115] achieves higher directional selectivity by implementing a complex-valued filter bank, which is able to separate positive from negative frequencies ...
doi:10.18452/19586
fatcat:i34kxpiqi5fpbfi7ffrzujjrt4
Dagstuhl Reports, Volume 9, Issue 12, December 2019, Complete Issue
2020
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For example, by transforming the game levels to a tile-based graph. The associated actions in these abstracted worlds are high-level as well. ...
CIG tree, different from the sub-trees in which the search started. ...
License Creative Commons BY 3.0 Unported license © Cindy Marie Grimm Robotic manipulation is a complex combination of four different elements: 1) The kinematics of the manipulator, 2) The sensors, 3) The ...
doi:10.4230/dagrep.9.12
fatcat:hebigxkvinhjdb6qlg3j5hw25u
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