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is stochastic attractor of network responses, experimentally. not observed drift grid which in models, predict
in attractor network models, predict stochastic drift of grid responses, which is not observed experimentally.
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of reset network in phase the drifting cells grids. learned Border this
Border cells in this learned network reset the phase of drifting grids.
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on U-Net the based well known Our is architecture. network
Our network is based on the well known U-Net architecture.
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can suffer throughout core organisms lives, behaviors. performance their impair Most damage of neuronal which
Most organisms suffer neuronal damage throughout their lives, which can impair performance of core behaviors.
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routines. into producing clinical outputs deterministic hinders DL adoption Moreover,
Moreover, producing deterministic outputs hinders DL adoption into clinical routines.
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estimates Uncertainty the subsequent permit by predictions revision clinicians. for would
Uncertainty estimates for the predictions would permit subsequent revision by clinicians.
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variations time manual consuming is inter-observer to delineation dermatologists. subject and However, intra- and among
However, manual delineation is time consuming and subject to intra- and inter-observer variations among dermatologists.
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underlines skin need This and segmentation. accurate lesion approach for the automatic to an
This underlines the need for an accurate and automatic approach to skin lesion segmentation.
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proposed classifier a regions using a regressor. bounding-box The softmax and subsequently refined are
The proposed regions are subsequently refined using a softmax classifier and a bounding-box regressor.
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with two propose hierarchical network a We neural branches.
We propose a hierarchical neural network with two branches.
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colors. is branch branch object's the what other the learns the One while object learns
One branch learns what the object is while the other branch learns the object's colors.
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and The colorization semantic optimizes loss a a segmentation jointly network loss.
The network jointly optimizes a semantic segmentation loss and a colorization loss.
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typical maps stereo by artifacts. depth allows affected obtaining strategy not This
This strategy allows obtaining depth maps not affected by typical stereo artifacts.
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to Traditional learned classes. already only image consider objects recognition methods belonging
Traditional image recognition methods only consider objects belonging to already learned classes.
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radar. we aperture graph paper, based for In imaging this propose processing signal synthetic
In this paper, we propose graph signal processing based imaging for synthetic aperture radar.
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the method solve function via of direction We multipliers. cost alternating
We solve the cost function via alternating direction method of multipliers.
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improved method enhancing capabilities. Our and provides resolution denoising
Our method provides improved denoising and resolution enhancing capabilities.
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sensing easily. can accommodate the quite framework compressed It also
It can also accommodate the compressed sensing framework quite easily.
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proposed methodology. the Experimental of our results validity corroborate
Experimental results corroborate the validity of our proposed methodology.
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shortage. such food to development, poor are and weather during Organisms challenges frequently exposed as
Organisms are frequently exposed to challenges during development, such as poor weather and food shortage.
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hormonal of glucocorticoids. initiate response, Such secretion involves the stress which challenges can
Such challenges can initiate the hormonal stress response, which involves secretion of glucocorticoids.
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are reduced shortening. Glucocorticoids and also telomere survival associated with
Glucocorticoids are also associated with reduced survival and telomere shortening.
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detect been (ECG). classification Electrocardiogram automatic method has and to studied effectively recognize An
An automatic classification method has been studied to effectively detect and recognize Electrocardiogram (ECG).
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are Cardiovascular Chinese Disease Database the conducted on Experiments (CCDD).
Experiments are conducted on the Chinese Cardiovascular Disease Database (CCDD).
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rarely model complexity has However, observable data. the additional of context studied patient-specific in been
However, additional model complexity has rarely been studied in the context of patient-specific observable data.
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developed find the help Many contents want been have people to video they efficiently. methods
Many methods have been developed to help people find the video contents they want efficiently.
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problems However, some unsolved this there area. still in are
However, there are still some unsolved problems in this area.
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task, re-localization}, namely address this to distinctively define new \textbf{video a scenario. We
We define a distinctively new task, namely \textbf{video re-localization}, to address this scenario.
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the methods. the show proposed competing that experimental method results outperforms Extensive
Extensive experimental results show that the proposed method outperforms the competing methods.
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employ this We ensemble for an of networks neural task. convolutional
We employ an ensemble of convolutional neural networks for this task.
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and as such In pretrained particular, ResNeXt. state-of-the-art fine-tune deep SENet we models Densenet, learning
In particular, we fine-tune pretrained state-of-the-art deep learning models such as Densenet, SENet and ResNeXt.
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the Last, consider for we meta final predictions. learning approaches
Last, we consider meta learning approaches for the final predictions.
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human multi-camera approach the motion a We body. propose for capture markerless CNN-based of
We propose a CNN-based approach for multi-camera markerless motion capture of the human body.
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deep different semantics. contain maps Feature network in generally neural
Feature maps in deep neural network generally contain different semantics.
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to may methods characteristics Existing their omit sub-optimal lead often results. that
Existing methods often omit their characteristics that may lead to sub-optimal results.
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often deep layers semantics. have layers Shallow and advantages in local contain global more information,
Shallow layers often contain more local information, and deep layers have advantages in global semantics.
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on datasets. and Experiments synthetic both are performed real
Experiments are performed on both real and synthetic datasets.
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performance. appropriate That of lossless achieve values is, necessary finding the combination to is good
That is, finding appropriate combination of the values is necessary to achieve good lossless performance.
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heatmaps to layer-wise local capture better We keypoint contexts. using multi-scale detection refine supervision
We refine keypoint detection heatmaps using layer-wise multi-scale supervision to better capture local contexts.
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the is a globally inference using association keypoint network via Pose end. optimized at regression
Pose inference via keypoint association is optimized globally using a regression network at the end.
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Placing blockage. height greater the reduces a at of likelihood the BS
Placing the BS at a greater height reduces the likelihood of blockage.
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to identify locations. at times person Person specific re-identification a and aims distinct
Person re-identification aims to identify a specific person at distinct times and locations.
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camera is and challenging of illumination, in It change occlusion, views. because viewpoint
It is challenging because of occlusion, illumination, and viewpoint change in camera views.
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is real-world multi-shot Recently, receives closer since to it task application. attention person re-id more
Recently, multi-shot person re-id task receives more attention since it is closer to real-world application.
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constructs function. loss a methodology self-defined Our
Our methodology constructs a self-defined loss function.
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equalization step. Consequently, channel can demodulator coupled and be processing in the one
Consequently, the demodulator and channel equalization can be coupled in one processing step.
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aims two learn domains. translation the mapping to visual Image-to-image between
Image-to-image translation aims to learn the mapping between two visual domains.
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is fundamental problems. in detection different Recognizing visual scales instances at a challenge simultaneously
Recognizing instances at different scales simultaneously is a fundamental challenge in visual detection problems.
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achieves performance the proposed show challenging ActvityNet on dataset. that DTPN experiments Extensive state-of-the-art the
Extensive experiments show that the proposed DTPN achieves state-of-the-art performance on the challenging ActvityNet dataset.
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for systems driven The wireless to performance. high the need has communication communication
The need for wireless communication has driven the communication systems to high performance.
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of multiplier-less pipeline This presents implementation study for structure. butterfly on-chip FFT digit-slicing an
This study presents an on-chip implementation of pipeline digit-slicing multiplier-less butterfly for FFT structure.
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software. simulated investigated architecture was with The and new MATLAB
The new architecture was investigated and simulated with MATLAB software.
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cameras. visual odometry We omnidirectional novel direct propose real-time a for monocular
We propose a novel real-time direct monocular visual odometry for omnidirectional cameras.
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registration minimal approach popular We methods how augment computational overhead. with can demonstrate many our
We demonstrate how our approach can augment many popular registration methods with minimal computational overhead.
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semantic retrieval, provides summarization. Segmenting and events indexing, for content structures into video
Segmenting video content into events provides semantic structures for indexing, retrieval, and summarization.
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events, ineffective to heterogeneous are methodologies deal e.g. However, such with
However, such methodologies are ineffective to deal with heterogeneous events, e.g.
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direction, taking e.g. a temporary in the sight and walk, changes
taking a walk, and temporary changes in the sight direction, e.g.
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important communication Digital Decimation plays task system. process a an in
Digital Decimation process plays an important task in a communication system.
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reduction mostly the applied required. is transceiver when frequency It is in
It mostly is applied in transceiver when the frequency reduction is required.
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process However, sigma-delta considered decimation the is modulator research this in work. for
However, the decimation process for sigma-delta modulator is considered in this research work.
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arithmetic system the Furthermore, improve to the efficiency. unit is proposed advance applied
Furthermore, the proposed advance arithmetic unit is applied to improve the system efficiency.
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with (i.e. expensive, problem fundamental a for presents or private This data applications limited,
This presents a fundamental problem for applications with limited, expensive, or private data (i.e.
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data), could and personalized. be estimation/tracking which human such as highly pose small behavior
small data), such as human pose and behavior estimation/tracking which could be highly personalized.
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MR accelerate deep learning-based image the reconstruction techniques suggested Recently, acquisition. to MRI were
Recently, the deep learning-based MRI reconstruction techniques were suggested to accelerate MR image acquisition.
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most reconstruction MRI deep generalizability common and learning-based transferability. in are issues approaches The any
The most common issues in any deep learning-based MRI reconstruction approaches are generalizability and transferability.
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paper want this fact. We this to rewrite avoiding for
We want to rewrite this paper for avoiding this fact.
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security image systems, registrations. be seen could This facial identity in for recognition
This could be seen in facial image recognition for security systems, identity registrations.
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of bottleneck is Hence processing. registration identity a image
Hence a bottleneck of identity registration is image processing.
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dual application. increases of high-performance a advance the Furthermore, its database efficiency
Furthermore, its advance dual database increases the efficiency of a high-performance application.
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recognition an input into tool. fed Hence, the authenticated being image before be will
Hence, an input image will be authenticated before being fed into the recognition tool.
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used the for filters The decimators commonly modulators. are comb as sigma-delta non-recursive and recursive
The recursive and non-recursive comb filters are commonly used as decimators for the sigma-delta modulators.
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low of comb and the high-speed paper analysis presents filters. and power design This
This paper presents the analysis and design of low power and high-speed comb filters.
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size accuracy to and building respect with establish We density. also scene trends
We also establish accuracy trends with respect to building size and scene density.
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of basis responses remains The mechanistic mostly unknown. differential such
The mechanistic basis of such differential responses remains mostly unknown.
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link supported further knockdown by a experiments. Such was
Such a link was further supported by knockdown experiments.
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agonists. and These rhCG natural differences act rhLH as that pharmacological biased demonstrate
These pharmacological differences demonstrate that rhLH and rhCG act as natural biased agonists.
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ones. for classes classifier their coarse-grained fine-grained with overlap the that respective Each votes
Each classifier votes for the fine-grained classes that overlap with their respective coarse-grained ones.
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achieves in Our benchmark performance on recognition algorithm location state-of-the-art datasets. multiple the
Our algorithm achieves the state-of-the-art performance in location recognition on multiple benchmark datasets.
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organs based is a analysis computing. imaging on in key of task Morphological medical images
Morphological analysis of organs based on images is a key task in medical imaging computing.
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In work, this network deep predicting diabetes shapes. abdominal for we a on neural propose
In this work, we propose a deep neural network for predicting diabetes on abdominal shapes.
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shape operates or requiring clouds processing The point directly without network raw alignment. mesh on
The network directly operates on raw point clouds without requiring mesh processing or shape alignment.
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descriptor to For shape extend the the we state-of-the-art AbdomenPrint. comparison, BrainPrint
For comparison, we extend the state-of-the-art shape descriptor BrainPrint to the AbdomenPrint.
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hormone reproduction. and in for the Follicle-stimulating produced pituitary essential is (FSH) is
Follicle-stimulating hormone (FSH) is produced in the pituitary and is essential for reproduction.
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somatic receptor membrane It of the binds to in (FSHR) gonads. a cells specifically expressed
It specifically binds to a membrane receptor (FSHR) expressed in somatic cells of the gonads.
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presents The system compared FSH/FSHR to many receptors (GPCRs). protein-coupled classical peculiarities G
The FSH/FSHR system presents many peculiarities compared to classical G protein-coupled receptors (GPCRs).
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heterodimeric naturally is heterogeneous a large FSH glycoprotein.
FSH is a large naturally heterogeneous heterodimeric glycoprotein.
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Once instances, subunits. couples and, to some other to G{\alpha} in activated, G{\alpha}s FSHR the
Once activated, the FSHR couples to G{\alpha}s and, in some instances, to other G{\alpha} subunits.
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designed is evaluated Experimental performance controller the environment. of testing implemented laboratory and under for
Experimental testing of the designed controller is implemented and evaluated for performance under laboratory environment.
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released R In a calibration. present for we recently article, Bayesian package this
In this article, we present a recently released R package for Bayesian calibration.
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Many experiments. industrial are unfeasible fields facing costly field or
Many industrial fields are facing unfeasible or costly field experiments.
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by numerical/computer experiments These with experiments are realized replaced a numerical running which code. are
These experiments are replaced with numerical/computer experiments which are realized by running a numerical code.
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example Eventually, detailed using CaliCo. is toy a
Eventually, a toy example is detailed using CaliCo.
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of neuroimaging information. important other contain statistics the However, data may
However, other statistics of the neuroimaging data may contain important information.
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This the paper wireless access two-tier heterogeneous a efficacy in of decoupled analyzes network.
This paper analyzes the efficacy of decoupled wireless access in a two-tier heterogeneous network.
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different benefits been scenarios access The in have decoupled studied wireless performance recently. and its
The decoupled wireless access and its performance benefits have been studied in different scenarios recently.
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In perspective analysis an efficiency this from efficacy on paper, its provided. is spectral in-depth
In this paper, an in-depth analysis on its efficacy from spectral efficiency perspective is provided.
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are which aforementioned the results. validate simulation Furthermore, provided rigorous results analytical
Furthermore, rigorous simulation results are provided which validate the aforementioned analytical results.
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computations required perform the to matrix available in is SAS/IML for system. SAS the DRA
SAS/IML is available to perform the required matrix computations for DRA in the SAS system.
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viewing imagery at single a by time. Currently, band examine analysts multiband a
Currently, analysts examine multiband imagery by viewing a single band at a time.
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combine form then and We MSAS the the final image. measures backscatter to saliency acoustic
We then combine the saliency and acoustic backscatter measures to form the final MSAS image.
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