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Extreme Algorithm Selection With Dyadic Feature Representation [article]

Alexander Tornede, Marcel Wever, Eyke Hüllermeier
2020 arXiv   pre-print
We assess the applicability of state-of-the-art AS techniques to the XAS setting and propose approaches leveraging a dyadic feature representation in which both problem instances and algorithms are described  ...  Algorithm selection (AS) deals with selecting an algorithm from a fixed set of candidate algorithms most suitable for a specific instance of an algorithmic problem, e.g., choosing solvers for SAT problems  ...  To this end, we propose extreme algorithm selection (XAS) as a novel setting, which is characterized by an extremely large though still finite (and predefined) set of candidate algorithms.  ... 
arXiv:2001.10741v1 fatcat:ica4qzrqk5dljodeyic6zwrly4

Homomorphic wavelet shrinkage and feature emphasis for speckle reduction and enhancement of echocardiographic images

Xuli Zong, Edward A. Geiser, Andrew F. Laine, David C. Wilson, Murray H. Loew, Kenneth M. Hanson
1996 Medical Imaging 1996: Image Processing  
Nonlinear feature emphasis combined with hard thresholding within middle levels of transform space is performed subsequently on wavelet coefficients.  ...  We show that this algorithm is capable of enhancing features of interest, such as endocardial and epicardial boundaries in 2-D short-axis echocardiograms while at the same time reducing speckle.  ...  j), position (in, n), and spatial orientation d (2) forms a complete representation for a J-level dyadic wavelet representation.  ... 
doi:10.1117/12.237969 dblp:conf/miip/ZongGLW96 fatcat:7kmq4o6gbzcfjgbbc7lojvje7u

Recognition Impact of JPEG2000 Part 2 Wavelet Packet Subband Structures in IREX K3 Iris Image Compression

Jutta Hämmerle-Uhl
2015 International Journal of Information and Electronics Engineering  
The recognition performance of four different feature extraction schemes applied to correspondingly compressed images is compared to the usage of the dyadic decomposition structure of JPEG2000 Part 1 in  ...  A better recognition performance of the adaptively generated wavelet subband structures is observed, in particular of those generated with respect to optimal rate-distortion performance.  ...  wavelet packet structures as compared to the fixed dyadic wavelet representation.  ... 
doi:10.7763/ijiee.2015.v5.500 fatcat:7ivb5bfdsbfcnm4nyn6ixevq2q

Dyadic aggregated autoregressive model (DASAR) for automatic modulation classification

Marco A. Pinto-Orellana, Hugo L. Hammer
2020 IEEE Access  
Using only 200 128-point samples per modulation scheme (1% of the available signal samples) and a proper selection of a classification algorithm, DASAR reaches accuracy up to 70.96% compared with a maximum  ...  As a feature extraction model, DASAR can provide useful learning features related to signals with complex spectra.  ...  (random forests and extreme gradient boosting trees) trained with DASAR features.  ... 
doi:10.1109/access.2020.3019243 fatcat:zykp7gcwyjewrcre4356yysuai

Speckle reduction and contrast enhancement of echocardiograms via multiscale nonlinear processing

Xuli Zong, A.F. Laine, E.A. Geiser
1998 IEEE Transactions on Medical Imaging  
Enhancement of echocardiographic features is accomplished via nonlinear stretching followed by hard thresholding of wavelet coefficients within selected (midrange) spatial-frequency levels of analysis.  ...  We show that the algorithm is capable of not only reducing speckle, but also enhancing features of diagnostic importance, such as myocardial walls in two-dimensional echocardiograms obtained from the parasternal  ...  Through multiscale representation by a discrete dyadic wavelet transform (DWT) with a first-order derivative of a smoothing function as its basis wavelet we can distinguish feature energy from noise reasonably  ... 
doi:10.1109/42.730398 pmid:9845309 fatcat:pmxrlcaxm5gvnoroqsgz7nnoty


2013 International journal on artificial intelligence tools  
To tackle this problem, we apply a feature subset selection (FSS) technique that not only reduces the number of features significantly but also improves the recognition accuracy.  ...  Employing Dyadic wavelet Transform (DyWT) and Local Binary Pattern (LBP), we propose a new feature descriptor DyWT-LBP for gender recognition.  ...  • A novel feature descriptor based on DyWT and spatially enhanced Local Binary Pattern (SLBP) for facial image representation.  ... 
doi:10.1142/s021821301360018x fatcat:wvng22rlibgq5msp4qgnjmshf4

Multiscale wavelet representations for mammographic feature analysis

Andrew F. Laine, Shuwu Song, David C. Wilson, Joseph N. Wilson
1992 Mathematical Methods in Medical Imaging  
This paper introduces a novel approach for accomplishing mammographic feature analysis through multiresolution representations.  ...  Multiresolution and orientation selectivity, known biological mechanisms in primate vision, are ingrained in wavelet representations and inspire the techniques presented in this paper.  ...  These results provided an algorithm that was very efficient and "tunable" in many aspects to enhance relevant diagnostic information with little or no enhancement of noise.  ... 
doi:10.1117/12.130912 fatcat:d5zfeqqgyvb4bkvh2bpttrm6i4

Gender Recognition from Face Images with Dyadic Wavelet Transform and Local Binary Pattern [chapter]

Ihsan Ullah, Muhammad Hussain, Hatim Aboalsamh, Ghulam Muhammad, Anwar M. Mirza, George Bebis
2012 Lecture Notes in Computer Science  
To tackle this problem, we apply a feature subset selection (FSS) technique that not only reduces the number of features significantly but also improves the recognition accuracy.  ...  Employing Dyadic wavelet Transform (DyWT) and Local Binary Pattern (LBP), we propose a new feature descriptor DyWT-LBP for gender recognition.  ...  • A novel feature descriptor based on DyWT and spatially enhanced Local Binary Pattern (SLBP) for facial image representation.  ... 
doi:10.1007/978-3-642-33191-6_40 fatcat:a6nryxw6wjcz7h6topwkxgfbsq

Multi-scale feature identification using evolution strategies

Xiaojing Yuan, Jian Zhang, Xiaohui Yuan, Bill P. Buckles
2005 Image and Vision Computing  
We use evolution strategies as the optimization algorithm to identify features. The system is based on a conjecture that certain filters will give prominent responses to certain features.  ...  For images containing a specific sort of feature (e.g. convective storm) or region (e.g. earthquake debris), that feature or region is always located adjacent to other features and regions on the image  ...  We emphasize that the proposed system is extremely effective for feature identification.  ... 
doi:10.1016/j.imavis.2004.07.002 fatcat:fmxu7gutybg35j5b64nqz4q7im

Preface: Special Section: Advances in Speech, Music and Audio Signal processing (Articles 1–13)

K. C. Santosh, Surekha Borra, Amit Joshi, Nilanjan Dey
2019 International Journal of Speech Technology  
and dyadic features.  ...  Similarly, music signals are of importance since they contain special structural characteristics, where feature representations and analysis could potentially be different.  ...  and dyadic features.  ... 
doi:10.1007/s10772-019-09606-9 fatcat:hq2vwvgoojeehmyozauohgisxe

A New Stabilized Zero - Crossing Representation In The Wavelet Transform Domain And Its Application To Image Processing

T. Komatsu, T. Saito, S. Watanabe
1996 Zenodo  
With the POCS-based alternate projection algorithms we can reconstruct signal waveform from the stabilized zero-crossing representation with high fidelity.  ...  extremely high fidelity, typically 60 dB or more.  ... 
doi:10.5281/zenodo.36044 fatcat:kufsgfoekvffdnmoego4bc5sga

Scale-space derived from B-splines

Yu-Ping Wang, S.L. Lee
1998 IEEE Transactions on Pattern Analysis and Machine Intelligence  
In the dyadic case, e cient frame algorithms are derived using B-spline techniques to analyze the geometry of an image.  ...  , orientation feature and parallel structure.  ...  Which kind of representation to select depends on the problem at hand.  ... 
doi:10.1109/34.722612 fatcat:eqet6avljbfujibl7u66wrl2oi

JPEG2000 Part 2 wavelet packet subband structures in fingerprint recognition

Bernhard Mühlbacher, Thomas Stütz, Andreas Uhl, Pascal Frossard, Houqiang Li, Feng Wu, Bernd Girod, Shipeng Li, Guo Wei
2010 Visual Communications and Image Processing 2010  
Employing wavelet packets instead of the dyadic wavelet transform turns out to be of advantage only in case of low bitrates (i.e. high compression rates).  ...  performance of the WSQ structure is confirmed also in JPEG2000 and in particular we get better recognition accuracy using the WSQ structure as compared to the employment of a rate-distortion optimising subband selection  ...  In extreme cases, even FAR or FMR might be affected. Optimisation of compression algorithms to meet the specific properties of the data to be compressed is a natural strategy.  ... 
doi:10.1117/12.862926 dblp:conf/vcip/MuhlbacherSU10 fatcat:4r6ol5hwinflfhuzgudbrgcb6q

Noise-Assisted Multivariate Empirical Mode Decomposition Based Emotion Recognition

Pinar Ozel, Aydin Akan, Bulent Yilmaz
2018 Electrica  
Traditional time-frequency representation algorithms, such as short-time Fourier transform (STFT) and continuous wavelet transform (CWT), have been utilized to frequently examine the emotional state data  ...  In the two-dimensional space, emotions are displayed by arousal-valence map and with respect to three-dimensional space, they are modelled as arousal-valence-dominance (VAD) map.  ...  The non-linearity inherent in the EMD algorithm also gives a compact representation possibility.  ... 
doi:10.26650/electrica.2018.00998 fatcat:cxojqk6tczepxncitwjcmdqfqy

The chordlet transform with an application to shape compression

Z. He, M. Bystrom
2012 Signal processing. Image communication  
A data structure, the fat quadtree and an algorithm for determining an optimal chordlet representation of an image are proposed.  ...  Due to their abilities to succinctly capture features at different scales and directions, wavelet-based decomposition or representation methods have found wide use in image analysis, restoration, and compression  ...  A natural selection, arising from the recursive dyadic image partitioning strategy, is the quadtree; this was the method selected for the JBEAM algorithm [7] .  ... 
doi:10.1016/j.image.2011.09.001 fatcat:fa6q3237tvgabikijebmh2e3lq
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