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Kernel regression for Head-Related Transfer Function interpolation and spectral extrema extraction

Yuancheng Luo, Dmitry N. Zotkin, Hal Daume, Ramani Duraiswami
2013 2013 IEEE International Conference on Acoustics, Speech and Signal Processing  
Head-Related Transfer Function (HRTF) representation and interpolation is an important problem in spatial audio.  ...  We perform HRTF interpolation and spectral extrema extraction using freely available CIPIC HRTF data. Experimental results are shown.  ...  The quantitative measure of how the sound is modified by such scattering is called Head-Related Transfer Function (HRTF) [1] .  ... 
doi:10.1109/icassp.2013.6637648 dblp:conf/icassp/LuoZDD13 fatcat:2kkcvoik5janrju5lgfdy3rrky

Machine Learning-Based Epileptic Seizure Detection Methods Using Wavelet and EMD-Based Decomposition Techniques: A Review

Rabindra Gandhi Thangarajoo, Mamun Bin Ibne Reaz, Geetika Srivastava, Fahmida Haque, Sawal Hamid Md Ali, Ahmad Ashrif A. Bakar, Mohammad Arif Sobhan Bhuiyan
2021 Sensors  
The availability of various feature extraction techniques and classification methods makes it difficult to choose the most suitable combination for resource-efficient and correct detection.  ...  This paper intends to review the relevant studies of wavelet and empirical mode decomposition-based feature extraction techniques used for seizure detection in epileptic EEG data.  ...  However, the IMFs are highly dependent on the methods of extrema point finding, the interpolation of extrema points into carrier envelopes, and the stopping criteria imposed.  ... 
doi:10.3390/s21248485 pmid:34960577 pmcid:PMC8703715 fatcat:rqtwgpqna5bx7nebddapbhwunu

Automated Epileptic Seizure Detection in Pediatric Subjects of CHB-MIT EEG Database—A Survey

J. Prasanna, M. S. P. Subathra, Mazin Abed Mohammed, Robertas Damaševičius, Nanjappan Jothiraj Sairamya, S. Thomas George
2021 Journal of Personalized Medicine  
EEG signals, thus summarizing the existing body of knowledge and opening up an enormous research area for biomedical engineers.  ...  This review paper focuses on the features of four domains, such as time, frequency, time-frequency, and nonlinear features, extracted from the EEG records, which were fed into several classifiers to classify  ...  LGBP features were extracted and nourished into different classifiers such as Logistic regression, random forest, and linear kernel SVM for seizure detection [55] .  ... 
doi:10.3390/jpm11101028 pmid:34683169 fatcat:6hoqpkfzerbnzla7xfvznbgatq

Book report

2004 Computers and Mathematics with Applications  
On the Concentration of Spectral Properties (John Shawe-Taylor, Nello Cristianini and Jaz Kandola). 65. Gaussian Process Regression with Mismatched Models (Peter Sollich). 66.  ...  Grammar Transfer in a Second Order Recurrent Neural Network (Michiro Negishi and Stephen Jose Hanson). 10. Generalizable Relational Binding from Coarse-coded Distributed Representations (Randall C.  ... 
doi:10.1016/j.camwa.2004.06.021 fatcat:vi5ps7eddza7hfba726v3epvtq

Conformal predictions in multimedia pattern recognition

Vineeth N Balasubramanian
2011 ACM SIGMultimedia Records  
and multimodal person recognition), and two regression-based applications (head pose estimation and saliency prediction in images).  ...  This dissertation builds on the CP theory to compute reliable confidence measures that aid decision-making in real-world problems through: (i) Development of a methodology for learning a kernel function  ...  A Radial Basis Function interpolation system was then used to obtain the head pose angle.  ... 
doi:10.1145/2069196.2069202 fatcat:pptvfth4bffxtllc3m665qodze

Machine Learning Mitigants for Speech Based Cyber Risk

Marta Campi, Gareth W. Peters, Nourddine Azzaoui, Tomoko Matsui
2021 IEEE Access  
The first step consists of computing extrema ofs(t); this can be done based on observations or on the interpolated signal,s(t).  ...  We present results for the radial basis function kernel. Other kernels have been employed and produced similar results.  ... 
doi:10.1109/access.2021.3117080 fatcat:mskousna6nhblglmt47ftt5mau

Impact of acoustic coordinated reset neuromodulation on effective connectivity in a neural network of phantom sound

Alexander N. Silchenko, Ilya Adamchic, Christian Hauptmann, Peter A. Tass
2013 NeuroImage  
The overall impact of CR therapy on the entire tinnitus-related network showed up as a qualitative transformation of its spectral response, in terms of a drastic change of the shape of its averaged transfer  ...  function.  ...  , is defined as follows: (i) identify all extrema of s(t); (ii) interpolate two smooth cubic splines between minima and maxima of s(t) to get its upper envelope, c max (t), and its lower envelope, c min  ... 
doi:10.1016/j.neuroimage.2013.03.013 pmid:23528923 fatcat:7jnpnmar5ngkpczxqjdgwczgcq

Right inferior frontal gyrus implements motor inhibitory control via beta-band oscillations in humans

Michael Schaum, Edoardo Pinzuti, Alexandra Sebastian, Klaus Lieb, Pascal Fries, Arian Mobascher, Patrick Jung, Michael Wibral, Oliver Tüscher
2021 eLife  
Motor inhibitory control implemented as response inhibition is an essential cognitive function required to dynamically adapt to rapidly changing environments.  ...  Despite of over a decade of research on the neural mechanisms of response inhibition, it remains unclear, how exactly response inhibition is initiated and implemented.  ...  , we searched for local extrema to identify peak voxels.  ... 
doi:10.7554/elife.61679 pmid:33755019 pmcid:PMC8096430 fatcat:tcwymnrlynettd2alrtknb3sdq

Transösophageales Interventrikuläres Delay bei Vorhofflimmern und Kardialer Resynchronisation

M. Heinke, B. Ismer, H. Kühnert, T. Heinke, G. Dannberg, H. R. Figulla
2013 Biomedical Engineering  
In particular, electrode setups are chosen to comply with constraints for female patients in the catheter lab.  ...  In practical applications, however, the number of electrodes is limited and the placing is subject to constraints.  ...  Wilhelm Stork and his research group for providing the Holter ECGs.  ... 
doi:10.1515/bmt-2013-4154 pmid:24042832 fatcat:qsbz2z3utva6rery74jfw66pe4

Modulation of dLGN firing mode across multiple timescales is predicted by pupil size dynamics [article]

Davide Crombie, Martin A Spacek, Christian Leibold, Laura Busse
2021 bioRxiv   pre-print
We conclude that dLGN spiking activity is modulated by pupil-indexed arousal processes on various timescales, with implications for the determination of arousal-related cortical rhythms, and for the transfer  ...  We further find that these activity modulations could not be explained solely by pupil size per se, or by transitions between overt locomotion and quiescence, and extend to periods of patterned stimulus  ...  Acknowledgements This research was supported by the German Research Foundation (DFG) RTG2175 "Perception in context and its neural basis" (CL), DFG SFB870 "Assembly and function of neural circuits", TP  ... 
doi:10.1101/2021.04.30.442134 fatcat:kjlthezitzfw7bhcqyglo6mxly

Visual Object Recognition

Kristen Grauman, Bastian Leibe
2011 Synthesis Lectures on Artificial Intelligence and Machine Learning  
This tutorial overviews computer vision algorithms for visual object recognition and image classification.  ...  Hough transform; window-based descriptors, histograms of oriented gradients and rectangular features; part-based models, star graph models and fully connected constellations; pyramid match kernels; detection  ...  Acknowledgments This project began after we gave a tutorial on the subject at AAAI 2008; we thank the conference organizers for hosting that event and the attendees for their questions and feedback.  ... 
doi:10.2200/s00332ed1v01y201103aim011 fatcat:fhz7aokkfjav7fuauuorfstq4y

Multi-Sensor Fusion via Reduction of Dimensionality [article]

Alon Schclar
2012 arXiv   pre-print
The proposed method is utilized for: (a) segmentation and detection of anomalies in hyper-spectral images; (b) segmentation of multi-contrast MRI images; and (c) segmentation of video sequences.  ...  We also present algorithms for: (a) the characterization of materials using their spectral signatures to enable their identification; (b) detection of vehicles according to their acoustic signatures; and  ...  changing the locations of existing local extrema and/or creating new local extrema.  ... 
arXiv:1211.2863v1 fatcat:rtqwctr4ynghpd2jblcvfvgpuq

Local-to-global mesh saliency

Ran Song, Yonghuai Liu, Ralph R. Martin, Karina Rodriguez Echavarria
2016 The Visual Computer  
We also provide comparisons to existing state-of-the-art methods for mesh saliency and show improved results produced by our method.  ...  to integrate local and global saliency.  ...  Saliency is then determined by transferring information from the spectral domain back to the spatial domain.  ... 
doi:10.1007/s00371-016-1334-9 fatcat:ptapgumblzbapee4tmwgvzvqum

Modeling & Analysis

2003 NeuroImage  
The computation of the functional interactions through correlation coefficients (functional connectivity) or through linear regression (effective connectivity) are based on an average over many subjects  ...  We are currently repeating this analysis for random event-related and single trial designs.  ...  We are very grateful to Chris Freemantle for the retrieval and transfer of the data from the Functional Imaging Lab, London.  ... 
doi:10.1016/s1053-8119(05)70006-9 fatcat:zff2suxcofbxvetfrwfwcxi3zm

Abstracts (Continue in Part I)

1995 Proceedings of the International Society for Magnetic Resonance in Medicine  
4 P (JIP Bl Corrected 333 0.044 40.7 0.019 1583 0.076 Uncorrected 340 0.082 39.9 0.039 1485 0.142 CONCLUSIONS Under certain conditions, a general expression for the spinecho signal intensity as a function  ...  of TI, T2, p, TR, TE, and B1 can be found.  ...  Acknowledgements: This work was supported by grant of the "Deutschc Forschungsgemeinschaft" (DFG) (DFG-Ha 1232 18-We thank S.Voll for her help.  ... 
doi:10.1002/mrmp.22419950202 fatcat:mg5plhp4qvabdbvpf3jlnih2ti
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