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Extraction of sparse spatial filters using Oscillating Search

Ibrahim Onaran, N. Firat Ince, Aviva Abosch, A. Enis Cetin
2012 2012 IEEE International Workshop on Machine Learning for Signal Processing  
Construction of sparse spatial projections where a small subset of channels is used in feature extraction, can increase the stability and generalization capability of the CSP method.  ...  In this paper, we apply the Oscillating Search (OS) method which fuses all these greedy search techniques to sparsify the CSP filters.  ...  Here, with the same spirit, we used OS to extract a sparse spatial filter solutions by fusing FS, BE and RWE methods. Assume that we are searching for a sparse filter with cardinality .  ... 
doi:10.1109/mlsp.2012.6349752 dblp:conf/mlsp/OnaranIAC12 fatcat:iv4n4fnebrgqjgu6xzenlludnq

Combined self-learning based single-image super-resolution and dual-tree complex wavelet transform denoising for medical images

Guang Yang, Xujiong Ye, Greg Slabaugh, Jennifer Keegan, Raad Mohiaddin, David Firmin, Martin A. Styner, Elsa D. Angelini
2016 Medical Imaging 2016: Image Processing  
The relationships between the given image and its scaled down versions are modeled using support vector regression with sparse coding and dictionary learning, without explicitly assuming reoccurrence or  ...  In addition, we perform DTCWT based denoising to initialize the HR images at each scale instead of simple bicubic interpolation. We evaluate our method on a variety of medical images.  ...  In our study, this has been done using a Sobel filter, such that any patch including an edge derived from the Sobel filter is considered to have high spatial frequency.  ... 
doi:10.1117/12.2207440 dblp:conf/miip/YangYSKMF16 fatcat:fhlfmztpkbbrvlvrhlupibbjb4

Cloud-Based Remote Venue Recommendation Framework

Ms. Sonawane K. C., Ms. Ponde S. S.
2017 IJARCCE  
Still, performance of most of the existing collaborative filtering. Based recommendation system suffers due to the challenges, like: (a) cold start, (b) data sparseness, and (c) scalability.  ...  To address the issues pertaining to cold start and data sparseness, the BORF performs data pre-processing by using the Hub-Average (HA) inference model.  ...  model built using only the spatial ratings with user locations contained in the cell"s spatial region. α-Cell and represents a "traditional" (i.e., non-spatial) item-based collaborative filtering model  ... 
doi:10.17148/ijarcce.2017.6119 fatcat:ite6zbglgzgjndfk4a2ejoxyqa

Author Index

2019 2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)  
(EFV) Hashing Learning Method for the Design of Linear Phase FIR Digital Filter Using Keras 318 Design of Graph Filter Using Spectral Transformation and Window Method Guan-Yi Li 44 Thermal-Based Pedestrian  ...  Filter Using Keras 318 Design of Graph Filter Using Spectral Transformation and W indow Method Voshiki Tsukamoto 136 A Differential Multiple Single Carrier Modulation Scheme for Underwater Acoustic Communications  ...  ROI for Object Detection based on CNN Hung-YiWu Comparison of Face Recognit ion Loss Funct ions Chao-Han Wu  ... 
doi:10.1109/ispacs48206.2019.8986344 fatcat:tyfkzg6wt5fr3m3ngmh2vdxsea

Greedy Automatic Signal Decomposition and Its Application to Daily GPS Time Series

Jonathan Bedford, Michael Bevis
2018 Journal of Geophysical Research - Solid Earth  
We then demonstrate the greedy approach to fitting the time series by using a minimum number of multitransients (sparse functions) in addition to the permanent time functions in a linear regression.  ...  By assuming that the permanent time functions are the long-term secular velocity of the Earth and the seasonal oscillations, we define the total remaining signal as transient motion.  ...  We would like to thank two anonymous reviewers for their comments that contributed to the improvement of this manuscript.  ... 
doi:10.1029/2017jb014765 fatcat:xdaybp2p6rayte7uxdiw5z3ybi

Adaptive space-time structural coherence for selective imaging

David Gibson, Neill Campbell
2017 2017 Conference on Design and Architectures for Signal and Image Processing (DASIP)  
The search is plotted for a pixel error and seven of the Haar-like filter responses.  ...  Most pixels in an image are redundant; the proposed approach extracts sparse, locally coherent, appearance models that have translated 1 pixel.  ... 
doi:10.1109/dasip.2017.8122126 dblp:conf/dasip/GibsonC17 fatcat:zplbhlcqpnfnxhsdi5nf4sotui

Spatial Filter Optimization Using Gaussian Kernel for Single Electro- Encephalo Gram (EEG) Trial Classification

Aarti Bhalla
2014 International Journal of Innovative Research in Science Engineering and Technology  
Kernel based Fisher's criterion is used for Spatial filtering which transforms the data into a suitable feature space for classification.  ...  In this manuscript, we propose an advanced feature extraction method utilizing spatial characteristics (channel information) of an EEG signal.  ...  The CSP method uses a weak optimization function that does not ensure that all spatial filters are useful.  ... 
doi:10.15680/ijirset.2014.0312047 fatcat:qi5yyvarlrehddavpukenici2e

Sparse Modeling of Textures

Gabriel Peyré
2008 Journal of Mathematical Imaging and Vision  
This paper presents a generative model for textures that uses a local sparse description of the image content.  ...  A set of hand crafted dictionaries composed of edges, oscillations, lines or crossings elements allows to synthesize synthetic images with geometric features.  ...  [11] that performs image denoising using a spatially varying filter.  ... 
doi:10.1007/s10851-008-0120-3 fatcat:rewjeyzqxnesjl7u7mnyhhdvf4

Construction of Reduced Order Models for Fluid Flows Using Deep Feedforward Neural Networks [article]

Hugo F. S. Lui, William R. Wolf
2019 arXiv   pre-print
Spectral proper orthogonal decomposition, SPOD, is applied to reduce the dimensionality of the model and, at the same time, filter the POD temporal modes.  ...  A discussion on the optimization of the DNN hyperparameters is provided for obtaining the best ROMs and an assessment of these models is presented for a canonical nonlinear oscillator and the compressible  ...  We also thank CEPID-CeMEAI for providing the computational resources used in this work.  ... 
arXiv:1903.05206v1 fatcat:jmbaiqvtavfnhjf5yb4tklqpka

A Time-Frequency Analysis Method for Low Frequency Oscillation Signals Using Resonance-Based Sparse Signal Decomposition and a Frequency Slice Wavelet Transform

Yan Zhao, Zhimin Li, Yonghui Nie
2016 Energies  
To more completely extract useful features from low frequency oscillation (LFO) signals, a time-frequency analysis method using resonance-based sparse signal decomposition (RSSD) and a frequency slice  ...  Furthermore, the noise in the LFO signal could reduce the frequency resolution of FSWT analysis, which may impact the accuracy of oscillation mode identification.  ...  Zhimin Li and Yonghui Nie made many useful comments and simulation suggestions. In addition, all authors reviewed the manuscript. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/en9030151 fatcat:ufjqswm5m5dcvmpa3qzljoxaci

Noncoherent compressive sensing with application to distributed radar

Christian R. Berger, Josee M. F. Moura
2011 2011 45th Annual Conference on Information Sciences and Systems  
We consider a multi-static radar scenario with spatially dislocated receivers that can individually extract delay information only.  ...  of interest.  ...  The conventional approach would be to process each receiver separately (using matched filter or CS processing), extracting multiple sets of delay estimates, and fusing these estimates in a subsequent stage  ... 
doi:10.1109/ciss.2011.5766108 dblp:conf/ciss/BergerM11 fatcat:qoptjcdfcnbdxojcnkoojrsbue

Camera and Lidar-based View Generation for Augmented Remote Operation in Mining Applications

Elijs Dima, MArten Sjostrom
2021 IEEE Access  
We suggest an on-the-fly lidar filtering for reducing point oscillation at no performance cost, and a full rendering process based on lidar depth upscaling and in-view occluder removal from the presented  ...  Real-time augmentation of the presented remote views can further improve the operator effectiveness through a more complete presentation of relevant sections of the remote location.  ...  A 3-pixel wide Canny filter from OpenCV [39] is used to extract an edge image E src from a grayscale I src blurred with a 5-pixel wide Gaussian kernel.  ... 
doi:10.1109/access.2021.3086894 fatcat:dxqmlu4qwjeovbyw3gayf6pdwq

Diffusion Filters for Variational Data Assimilation of Sea Surface Temperature in an Intermediate Climate Model

Xuefeng Zhang, Dong Li, Peter C. Chu, Lianxin Zhang, Wei Li
2015 Advances in Meteorology  
matrix for the commonly used correction scale method, recursive filter method, and sequential 3DVAR.  ...  Compared to the existing DF, the new GDF scheme shows a superior performance in the assimilation experiment due to its success in extracting the spatial multiscale information.  ...  Figure 11 presents the spatial distributions of RMSEs of using GDF.  ... 
doi:10.1155/2015/751404 fatcat:r6dfvgdnfvaf5d6yn6g4gdlsgy

Towards an Adaptive Dynamic Mode Decomposition [article]

Mohammad N. Murshed, M. Monir Uddin
2020 arXiv   pre-print
Filters are very effective in reducing the rank of high-dimensional dataset. We have incorporated 'discrete Fourier transform' and 'augmented lagrangian multiplier' as filters in our method.  ...  We design a new version which we call Adaptive Dynamic Mode Decomposition (ADMD) that utilizes time delay coordinates, projection methods and filters as per the nature of the data to create a model for  ...  If the data is of low-rank, then time-delay coordinates are to be used to resolve smooth oscillations and projections would be employed to extract the hidden features.  ... 
arXiv:2012.07834v1 fatcat:mi6zgdexvfea5dw5nip4hku7r4

Wavelets and Face Recognition [chapter]

Dao-Qing Dai, Hong Y
2007 Face Recognition  
Their ability to capture localized spatial-frequency information of image motivates their use for feature extraction. We give an overview of using wavelets in the face recognition technology.  ...  These are used in three ways: • Direct use of wavelet coefficients. • From combination of wavelet coefficients. • Searching the best feature in the wavelet packet library.  ...  The book consists of 28 chapters, each focusing on a certain aspect of the problem.  ... 
doi:10.5772/4831 fatcat:jbss7mzornh2tpggkankwuq7ie
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