[신간의 별자리x] 우리/미술, 그리고 ‘슬픔의 박물관’

Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

Data Mining Practical Machine Learning Tools and Techniques

MUCKE aims to mine a large volume of images, to structure them conceptually and to use this conceptual structuring in order to improve large-scale image retrieval. The last decade witnessed important progress concerning low-level image representations. However, there are a number problems which need to be solved in order to unleash the full potential of image mining in applications. The central problem with low-level representations is the mismatch between them and the human interpretation of image content. This problem can be instantiated, for instance, by the incapability of existing descriptors to capture spatial relationships between the concepts represented or by their incapability to convey an explanation of why two images are similar in a content-based image retrieval framework. We start by assessing existing local descriptors for image classification and by proposing to use co-occurrence matrices to better capture spatial relationships in images. The main focus in MUCKE is on cleaning large scale Web image corpora and on proposing image representations which are closer to the human interpretation of images. Consequently, we introduce methods which tackle these two problems and compare results to state of the art methods. Note: some aspects of this deliverable are withheld at this time as they are pending review. Please contact the authors for a preview.

http://ieeexplore.ieee.org/iel2/4524/12820/00592460.pdf

Image Processing

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Biomechanics And Motor Control Of Human Movement

The reassignment method is a widespread approach for obtaining high resolution time-frequency representations. Nevertheless, its performance is not always optimal and can deteriorate for low signal-to-noise ratio (SNR) values. In order to overcome these obstacles, a novel method for obtaining high resolution time-frequency representations is proposed in this paper. The new method implements recently proposed nonparametric snakes in order to obtain accurate locations of the signal ridges in the time-frequency domain. The results of numerical analysis show that the proposed method is capable of achieving significantly higher concentration of signals in the time-frequency domain in comparison to the spectrogram and the traditional reassignment method. Furthermore, the new scheme also maintains good performance for low SNR values, while the performance of the other two considered methods significantly diminishes. It is clear from the results that the proposed method might be of significance in applications where accurate estimation of the signal components is required for low SNR values.

A new approach for the reassignment of time-frequency representations

A unified approach for the estimation of the first three phase derivatives of non-stationary signals is proposed in this paper. The possibility to accurately estimate phase derivatives is important in many applications dealing with objects velocity, acceleration and acceleration rate, such as the radar applications and mechanics. The estimation approach is based on definition of the complex-lag distribution. The proposed distribution is inspired by the concepts of complex analysis theory. The general form of distribution for the estimation of the first, second and third derivative of the phase is derived from the specific individual cases. The theoretical considerations are illustrated in the example with fast varying signal phase function.

A unified approach for the estimation of instantaneous frequency and its derivatives for non-stationary signals analysis

The paper presents two novel applications of Thomson Multitaper Analysis It is shown how a wideband simulator of a double mobile MIMO channel could be developed based on geometrical channel model It is also shown how modification of Discrete Prolate Spheroidal Sequences could be used to better estimation of sparse channels A number of other potential applications is also mentioned

Application of Multitaper Analysis to wireless communications problems

Brain-computer interfaces (BCIs) promise to promote a novel access channel for functional independence for individuals with severe speech and physical impairment (SSPI) that can occur as a result of numerous neurological diseases and injuries. Current BCI systems lack the robustness and accuracy to allow individuals with SSPI to complete tasks required for independent living (e.g. communication or navigation). We aim to develop a noninvasive hybrid BCI relying on two imaging modalities: Electroencephalography (EEG) and functional transcranial Doppler sonography (fTCD). Such hybrid BCI is expected to be sufficiently robust and accurate to be operated in a real-life environment.

An EEG and fTCD based BCI for control

Swallowing accelerometry has been recently investigated as a potential non-invasive tool for dysphagia screening. This method is based on the translation of vibrations recorded from the upper aerodigestive tract structure during swallowing into a voltage signal. Some studies hypothesize the hyoid bone movement during swallowing as the source of swallow vibrations, as it is an essential component of swallowing function that contributes to protection of the airway during the swallow. However, there is still an open question about the physiological source of swallowing vibrations. In this paper, we investigate the correlation between the swallowing vibrations recorded by the tri-axial accelerometer and hyoid bone kinetics observed in video-fluoroscopic swallow imaging studies. Further, this is a first of its kind study investigating this correlation with vibration signals measured in the medial-lateral plane of accelerometry. Our hypothesis is that there exists a correlation between the recorded swallowing vibrations in three axes and hyoid bone kinetics in videofluoroscopic images.Copyright © 2016 by ASME

Ervin Sejdic

Papers

A new approach for the reassignment of time-frequency representations

A unified approach for the estimation of instantaneous frequency and its derivatives for non-stationary signals analysis

Application of Multitaper Analysis to wireless communications problems

An EEG and fTCD based BCI for control

Correlating Tri-Accelerometer Swallowing Vibrations and Hyoid Bone Movement in Patients With Dysphagia