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

i n c y h h i t i a R Last month, Alzheimer’s & Dementia: The Journal of the lzheimer’s Association received acceptance for inclusion n MEDLINE, the bibliographic database of the U.S. Naional Library of Medicine (NLM). Three years since the aunch, this achievement marks an important recognition of he Journal’s scientific merit and contribution to the field of lzheimer’s disease research. The editors, our publishing artners from Elsevier, and our sponsoring colleagues from he Alzheimer’s Association are extremely thankful to the uthors, reviewers, Editorial Board members, and readers or their many valuable contributions. As the official journal of the Alzheimer’s Association, lzheimer’s & Dementia will now be circulated to the active embers of the Association’s new International Society to dvance Alzheimer Research and Treatment (ISTAART) imonthly, as well as other subscribers and libraries. The ournal will continue to cover critical scientific, medical, ocial, and policy issues that investigators and clinicians ace every day, on matters concerning healthy brain aging to ll forms of dementia. Unlike other journals in the field, lzheimer’s & Dementia bridges new thinking across dierse areas of investigation. This interdisciplinary journal rovides the impetus for new scientific initiatives and offers

Alzheimer's & Dementia: the Journal of the Alzheimer's Association.

National Institute of Neurological Disorders and Stroke

Thermal cameras are passive sensors that capture the infrared radiation emitted by all objects with a temperature above absolute zero. This type of camera was originally developed as a surveillance and night vision tool for the military, but recently the price has dropped, significantly opening up a broader field of applications. Deploying this type of sensor in vision systems eliminates the illumination problems of normal greyscale and RGB cameras. This survey provides an overview of the current applications of thermal cameras. Applications include animals, agriculture, buildings, gas detection, industrial, and military applications, as well as detection, tracking, and recognition of humans. Moreover, this survey describes the nature of thermal radiation and the technology of thermal cameras.

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Thermal cameras and applications: a survey

Deep learning on image denoising: An overview.

A highly accurate and computationally efficient approach for unconstrained iris segmentation

A comprehensive survey on impulse and Gaussian denoising filters for digital images

A new thermal imaging framework with unique feature extraction and similarity measurements for face recognition is presented The research premise is to design specialized algorithms that would extract vasculature information, create a thermal facial signature, and identify the individual The proposed algorithm is fully integrated and consolidates the critical steps of feature extraction through the use of morphological operators, registration using the Linear Image Registration Tool, and matching through unique similarity measures designed for this task The novel approach at developing a thermal signature template using four images taken at various instants of time ensured that unforeseen changes in the vasculature over time did not affect the biometric matching process as the authentication process relied only on consistent thermal features Thirteen subjects were used for testing the developed technique on an in-house thermal imaging system The matching using the similarity measures showed an average accuracy of 8846% for skeletonized signatures and 9039% for anisotropically diffused signatures The highly accurate results obtained in the matching process clearly demonstrate the ability of the thermal infrared system to extend in application to other thermal-imaging-based systems Empirical results applying this approach to an existing database of thermal images prove this assertion

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Thermal Imaging as a Biometrics Approach to Facial Signature Authentication

Cooperative communications can help combat fading and hence can significantly increase the capacity of wireless networks. Although various schemes have been proposed to leverage this capability, most of the current mechanisms require hardware modification. We present a novel MAC protocol for the multirate ad hoc network, called CODE, to entail simultaneous transmissions of unencoded information by multiple nodes to achieve the power gain of virtual antenna arrays. The key physical layer property that we exploit is an increased transmission rate due to the achieved power gain. Moreover, for bidirectional traffic, we jointly consider using network coding technique at the relay nodes to increase the system throughput. Our design is backward compatible with the IEEE 802.11 standard and only requires firmware upgrade, which is especially suitable for low-end terminals. Our evaluation in both analysis and NS-2 simulations show that CODE is able to improve the system throughput up to 60%.

CODE: Cooperative Medium Access for Multirate Wireless Ad Hoc Network

The bit error rate (BER) analysis of various jamming techniques for orthogonal frequency-division multiplexing (OFDM) systems is given in both analytical form and software simulation results. Specifically, the BER performance of barrage noise jamming (BNJ), partial band jamming (PBJ) and multitone jamming (MTJ) in time-correlated Rayleigh fading channel with additive white gaussian noise (AWGN) has been investigated. In addition, two novel jamming methods - optimal-fraction PBJ and optimal-fraction MTJ for OFDM systems are proposed with detailed theoretical analysis. Simulation results validate the analytical results. It is shown that under the A WGN channel without fading, the optimal-fraction MTJ always gives the best jamming effect among all the jamming techniques given in this paper, while in Rayleigh fading channel the optimal-fraction MTJ can achieve acceptable performance. Both analysis and simulation indicate that the proposed optimal-fraction MTJ can be used to obtain improved jamming effect under various channel conditions with low complexity for OFDM systems.

Jean Andrian

Papers

A highly accurate and computationally efficient approach for unconstrained iris segmentation

A comprehensive survey on impulse and Gaussian denoising filters for digital images

Thermal Imaging as a Biometrics Approach to Facial Signature Authentication

CODE: Cooperative Medium Access for Multirate Wireless Ad Hoc Network

Bit Error Rate Analysis of jamming for OFDM systems