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Reprogrammable Electro-Optic Nonlinear Activation Functions for Optical Neural Networks [article]

Ian A. D. Williamson, Tyler W. Hughes, Momchil Minkov, Ben Bartlett, Sunil Pai, Shanhui Fan
2019 arXiv   pre-print
tasks: learning a multi-input exclusive-OR (XOR) logic function and classification of images of handwritten numbers from the MNIST dataset.  ...  The optical-to-optical nonlinearity operates by converting a small portion of the input optical signal into an analog electric signal, which is used to intensity-modulate the original optical signal with  ...  be of broader interest for optical computing as well as microwave photonic signal processing applications.  ... 
arXiv:1903.04579v1 fatcat:cxe4cr2euzguthu7ztx4iamkxi

All-optical Nonlinear Activation Function for Photonic Neural Networks [article]

Mario Miscuglio, Armin Mehrabian, Zibo Hu, Shaimaa I. Azzam, Jonathan K. George, Alexander V. Kildishev, Matthew Pelton, Volker J. Sorger
2018 arXiv   pre-print
for next generation information processing hardware.  ...  Thus, engineering data-information processors capable of executing NN algorithms with high efficiency is of major importance for applications ranging from pattern recognition to classification.  ...  A. and A. V. K. acknowledge the financial support by DARPA/DSO Extreme Optics and Imaging (EXTREME) Program, Award HR00111720032  ... 
arXiv:1810.01216v3 fatcat:2uczyjhazbg6fgjlzmjra7lsta

Watershed of a continuous function

Laurent Najman, Michel Schmitt
1994 Signal Processing  
The notion of watershed, used in morphological segmentation, has only a digital definition. In this paper, we propose to extend this definition to the continuous plane.  ...  We then present a metric in the plane for which the watershed is a skeleton by influence zones and show the lower semicontinuous behaviour of the associated skeleton.  ...  On the other hand, mathematical morphology uses the watershed of the norm of the gradient of f in order to extract edges.  ... 
doi:10.1016/0165-1684(94)90059-0 fatcat:7tlnnn6vzzctjlzvhdk523ilsm

Functional optical imaging at the microscopic level

Beatriz Y. Salazar Vázquez, Ciel Makena Hightower, Francesca Sapuppo, Daniel M. Tartakovsky, Marcos Intaglietta
2010 Journal of Biomedical Optics  
Functional microscopic imaging of in vivo tissues aims at characterizing parameters at the level of the unitary cellular components under normal conditions, in the presence of blood flow, to understand  ...  Optical techniques that enable the analysis of functional microvascular processes are the measurement of blood vessel dimensions by image shearing, the photometric analysis of the extent of the plasma  ...  R01HL064395 and Bioengineering Research Partnership Grants R24-HL64395 ͑Intaglietta͒ and P01HL071064-05 ͑Friedman͒. C. M.  ... 
doi:10.1117/1.3280270 pmid:20210428 pmcid:PMC2816989 fatcat:yxkl4e2xanc7fenmmnhuyaw6ry

Two-pupil synthesis of optical transfer functions

A. W. Lohmann, W. T. Rhodes
1978 Applied Optics  
The mathematical structure of these syntheses is presented along with limitations in the presence of various constraints. Minimization of image plane bias is considered.  ...  output, and pointspread distributions.  ...  been the use of two pupil transparencies, p1(u) and , 2 (u), and a conversion of output light intensities to electrical or numerical (digital) signals, which can be bipolar.  ... 
doi:10.1364/ao.17.001141 pmid:20197948 fatcat:3rmuehq55ndg3mrq5smtiwilte

Entering the Portal: Understanding the Digital Image Recorded Through a Microscope [chapter]

Kristin L. Hazelwood, Scott G. Olenych, John D. Griffin, Judith A. Cathcart, Michael W. Davidson
2007 Imaging Cellular and Molecular Biological Functions  
The primary considerations in imaging living cells in the microscope with a digital camera are detector sensitivity (signal-to-noise), the required speed of image acquisition, and specimen viability.  ...  Shorte and F. Frischknecht (eds.), Imaging Cellular and Molecular Biological Functions. 3  ...  Numerous types and sources of noise are generated throughout the digital imaging process. The amount and significance often depend on the application and type of CCD used to create the image.  ... 
doi:10.1007/978-3-540-71331-9_1 fatcat:g5evyvk75bhftj36exlma2ckve

On functional concepts for the explanation of visual pattern recognition

H Glünder
1986 Human neurobiology  
An overview is given covering approximately 30 years of research in the field of functional concepts for the explanation of visual pattern recognition processes.  ...  Fundamental facts about the nature of human perception (Gestalt-aspect) and about the processing structure of the visual system are used as qualification criteria.  ...  - linck A (ed) Applications of digital image processing.  ... 
pmid:3516942 fatcat:habyl5zlrnbnbjegm57z2zd6ze

All Optical Neural Network with Nonlinear Activation Functions [article]

Ying Zuo, Bohan Li, Yujun Zhao, Yue Jiang, You-Chiuan Chen, Peng Chen, Gyu-Boong Jo, Junwei Liu, Shengwang Du
2019 arXiv   pre-print
We confirm its capability and feasibility in machine learning by successfully classifying the order and disorder phases of a typical statistic Ising model.  ...  Artificial neural networks (ANNs) have now been widely used for industry applications and also played more important roles in fundamental researches.  ...  C6005-17G and ECS26302118). B.L. and Y.C.C. acknowledge the support from the Undergraduate Research Opportunities Program at the Hong Kong University of Science and Technology.  ... 
arXiv:1904.10819v1 fatcat:53pip5jnrjhrrdhyegebz6zaxi

Functional near infrared spectroscopy for Hb and HbO2 detection using remote sensing

Linda M. Head, Rane M. Pierson
2010 2010 IEEE Sensors Applications Symposium (SAS)  
Linda Head Master of Science in Engineering The goal of the work presented in this thesis is to develop a wireless, near-infrared (NIR) imaging system to provide flexibility and functionality to clinicians  ...  The backscattered light collected by the optical sensor is converted to a digital, serial bit stream for wireless transmission to a base station computer.  ...  Another future focus will be to research ways to increase system functionality by implementing on-board digital signal processing methods.  ... 
doi:10.1109/sas.2010.5439393 fatcat:6a5zehkiubecljbidhskncqlra

Page 3001 of Mathematical Reviews Vol. , Issue 91F [page]

1991 Mathematical Reviews  
Péter Komjath (H-EOTVO-C) 91f:04002 04A05 33C99 68U10 94A12 Ronse, Christian (B-PRL) Order-configuration functions: mathematical characterizations and applications to digital signal and image processing  ...  Such functions are well known from applications in digital signal processing and image processing where, for example, min-max filters, rank filters, and the median filter are based on order- configuration  ... 

Combined MEG and fMRI Exponential Random Graph Modeling for inferring functional Brain Connectivity [article]

Roseric Azondekon, Zachary James Harper, Charles Michael Welzig
2018 arXiv   pre-print
We adopted a pooled Exponential Random Graph Model (ERGM) as a network statistical model to capture the underlying process in functional brain networks of 9 subjects MEG and fMRI data out of 32 during  ...  Nevertheless, our pilot results tend to support previous findings that functional segregation and integration are sufficient to statistically reproduce the main properties of brain network.  ...  Four head position indicator coils are fixed to the participants' head and referenced to the other digitized landmarks. Two electrodes are placed along the plane of the chest to collect ECG signal.  ... 
arXiv:1805.12005v1 fatcat:qom5gs573na5bhvuat4howxfla

Point-spread Function Ramifications and Deconvolution of a Signal Dependent Blur Kernel Due to Interpixel Capacitive Coupling

Kevan Donlon, Zoran Ninkov, Stefi Baum
2018 Publications of the Astronomical Society of the Pacific  
Additionally, the variable IPC results in the point spread function (PSF) depending upon a star's signal level relative to the background level, amond other parameters.  ...  To deal with this issue an iterative non-stationary method for deconvolution is here proposed, implemented, and evaluated that can account for the signal dependent nature of IPC.  ...  We thank both Craig McMurtry and the University of Rochester Research Computing staff for their assistance.  ... 
doi:10.1088/1538-3873/aac261 fatcat:fjffewrgtfalzixiitahrhf7ry

Analysis of Utility Functions for Video

Cheolhong An, Truong Q. Nguyen
2007 2007 IEEE International Conference on Image Processing  
In this paper, we formulate the utility functions of distortion and Peak Signal-to-Noise Ratio (PSNR) which are generally used for the performance evaluation of video coding applications as the utility  ...  Experimental results show that the overall PSNR increases and the variation of quality among the utility functions is reduced.  ...  In this scenario, video utility functions need to signal their weight ms to their TCP and each TCP updates αs listed in Table 1 .  ... 
doi:10.1109/icip.2007.4379772 dblp:conf/icip/AnN07 fatcat:5tyxcd3rebcobba7uy7ffmdpea

Toward a Wireless Open Source Instrument: Functional Near-infrared Spectroscopy in Mobile Neuroergonomics and BCI Applications

Alexander von Lühmann, Christian Herff, Dominic Heger, Tanja Schultz
2015 Frontiers in Human Neuroscience  
Its capability to measure brain activity is demonstrated by qualitative signal assessments and a quantitative mental arithmetic based BCI study with 12 subjects.  ...  , neuroergonomics and BCI/BMI applications.  ...  It also processes incoming control signals from the 4 Bit control interface and operates and configures the on board hardware.  ... 
doi:10.3389/fnhum.2015.00617 pmid:26617510 pmcid:PMC4641917 fatcat:dsq5akzaqjfxtfuvzyjdjmmltm

Generalized image deconvolution by exploiting spatially variant point spread functions [article]

SangYun Lee, Kyeoreh Lee, Seungwoo Shin, YongKeun Park
2017 arXiv   pre-print
Full characterization of imaging capability of the system is achieved by successively recording optical responses, using various laser illumination angles which are systematically controlled by a digital  ...  This work generalizes the theory of optical imaging and deconvolution, and enables distortion-free imaging under any general imaging condition.  ...  However, the present approach is general and also readily applicable to any imaging configuration including incoherent, x-ray, terahertz, and infrared imaging systems.  ... 
arXiv:1703.08974v1 fatcat:zuisfxhpqveqlfvxjdgpxdrasq
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