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(inverse For the transform Radon as framework proposed is iRadonMap approximation). simplicity, short
For simplicity, the proposed framework is short as iRadonMap (inverse Radon transform approximation).
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the clinical iRadonMap, evaluate data patient of performance is used. the To
To evaluate the performance of the iRadonMap, clinical patient data is used.
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of iRadonMap. promising the performance reconstruction Qualitative show results
Qualitative results show promising reconstruction performance of the iRadonMap.
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obtaining non-monotonic conclusions systems. systems are that argumentation formal frameworks facilitate Abstract knowledge from
Abstract argumentation frameworks are formal systems that facilitate obtaining conclusions from non-monotonic knowledge systems.
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Splitting up framework semantics. the an speed argumentation argumentation efficiently computation can of
Splitting an argumentation framework can efficiently speed up the computation of argumentation semantics.
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makes a Bidirectional splitting of use minimum cut.
Bidirectional splitting makes use of a minimum cut.
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(AI) of domains. a Intelligence variety in achieved super-human performance broad Artificial
Artificial Intelligence (AI) achieved super-human performance in a broad variety of domains.
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quality Our a experiments show high with original model. flexible results
Our experiments show original high quality results with a flexible model.
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is data-driven possible. claim to We wrinkle approach cloth generation an entirely realistic
We claim an entirely data-driven approach to realistic cloth wrinkle generation is possible.
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approach motor. a The on induction is demonstrated three-phase
The approach is demonstrated on a three-phase induction motor.
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weakly-supervised classes are with "Thing" boxes, and with image-level bounding tags. "stuff"
"Thing" classes are weakly-supervised with bounding boxes, and "stuff" with image-level tags.
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for semantic- on results present first Cityscapes instance-segmentation. both and we the Furthermore, weakly-supervised
Furthermore, we present the first weakly-supervised results on Cityscapes for both semantic- and instance-segmentation.
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generated the were sine data wave For a methods, a known validation sEMG and evaluated.
For the validation methods, a generated sine wave and a known sEMG data were evaluated.
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paper satellite imagery. method presents detection from object efficient an This
This paper presents an efficient object detection method from satellite imagery.
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target validated objects. We models using our as courses golf
We validated our models using golf courses as target objects.
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methods. object deep demonstrated accuracy previous higher The identification learning method than proposed
The proposed deep learning method demonstrated higher accuracy than previous object identification methods.
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temporally. then and descriptors, colors propagated Using are both spatially appearance
Using appearance descriptors, colors are then propagated both spatially and temporally.
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We framework learning in videos. propose segmenting images and both end-to-end generic objects an for
We propose an end-to-end learning framework for segmenting generic objects in both images and videos.
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propose ways dense segmentation. Thus foreground for we weakly exploit data learning labeled to
Thus we propose ways to exploit weakly labeled data for learning dense foreground segmentation.
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and presents This DOA method. estimation paper this the corresponding relationship
This paper presents this relationship and the corresponding DOA estimation method.
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using (GSV) Google View focus Here, measuring cover we Street images. tree on urban
Here, we focus on measuring urban tree cover using Google Street View (GSV) images.
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GSV on perform images. consisting a dataset of then We small training additional training
We then perform additional training on a small training dataset consisting of GSV images.
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outperform that unsupervised benchmark significantly We deep models learning method. the find
We find that deep learning models significantly outperform the unsupervised benchmark method.
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any is conditions. and require Our proposed platform system does lighting specific independent not
Our proposed system is platform independent and does not require any specific lighting conditions.
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merge motion counts we across utilize the camera views. multiple Additionally, to
Additionally, we utilize camera motion to merge the counts across multiple views.
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rows. of from merged both counts tree fruit sides Additionally, report the we
Additionally, we report merged fruit counts from both sides of the tree rows.
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improvement two mainly The in embodied aspects. was
The improvement was mainly embodied in two aspects.
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aspect, redefine the In repairing priority. formula the order we the calculation of
In the repairing order aspect, we redefine the calculation formula of the priority.
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that the can the the algorithm. overcome confirm algorithm insufficiencies original of Experiments improved
Experiments confirm that the improved algorithm can overcome the insufficiencies of the original algorithm.
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has The the been and a have better repairing results appearance. improved, visual effect
The repairing effect has been improved, and the results have a better visual appearance.
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article, of on focus we movement In the cyclist this detecting initial devices. using smart
In this article, we focus on detecting the initial movement of cyclist using smart devices.
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movement detection the a classification Therefore, initial as problem. model we
Therefore, we model the initial movement detection as a classification problem.
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hierarchy Images a parts. object of as are composed
Images are composed as a hierarchy of object parts.
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to inference leads to graph. in intractable the loops this due Typically,
Typically, this leads to intractable inference due to loops in the graph.
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hierarchical successfully its images latent of verify states. by a visualising We learned model having
We verify having successfully learned a hierarchical model of images by visualising its latent states.
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in most methodology were Convolutional the networks challenge. successful BACH the neuronal
Convolutional neuronal networks were the most successful methodology in the BACH challenge.
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flow same This describe the is thing. since disparity odd, optic and essentially binocular
This is odd, since binocular disparity and optic flow describe essentially the same thing.
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be inference has in achieved. Previous can shown how LPMLN work
Previous work has shown how inference in LPMLN can be achieved.
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abductive actions. about apply reasoning for to We probabilistic also the the method learn parameters
We also apply the method to learn the parameters for probabilistic abductive reasoning about actions.
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Which facial commonly many people use? and cross-cultural and cultural-specific do expressions how
Which and how many cross-cultural and cultural-specific facial expressions do people commonly use?
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to each what And, does communicate variables expression affect observers?
And, what affect variables does each expression communicate to observers?
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effective Retinex image is model tool low-light an for enhancement.
Retinex model is an effective tool for low-light image enhancement.
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into illumination. the reflectance that and assumes can It be observed decomposed images
It assumes that observed images can be decomposed into the reflectance and illumination.
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formulas also control SINR targets. for to We power meet derive pre-determined
We also derive formulas for power control to meet pre-determined SINR targets.
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usage the A the formulas provided. of demonstrating is example numerical derived
A numerical example demonstrating the usage of the derived formulas is provided.
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challenging segmentation application remains still of a task. airways to However, the its
However, its application to the segmentation of airways still remains a challenging task.
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learned is network and detection jointly unified The semantic by tasks. optimizing pedestrian segmentation
The unified network is learned by jointly optimizing pedestrian detection and semantic segmentation tasks.
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outperforms KAIST The approach state-of-the-art fast. dataset the methods while significantly remain on
The approach significantly outperforms state-of-the-art methods on the KAIST dataset while remain fast.
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an as this possible. is that process generate Moreover, realistic manipulation as should image
Moreover, this manipulation process should generate an image that is as realistic as possible.
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Experiments environment. in well-known RoboCup@Work challenge the are performed
Experiments are performed in the well-known RoboCup@Work challenge environment.
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points. A pickup on network segmentation trained convolutional objects' detecting is fully
A fully convolutional segmentation network is trained on detecting objects' pickup points.
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sequences qualitative videos. on challenging YouTube evaluations standard ground-truth with reconstructions and We provide on
We provide evaluations on standard sequences with ground-truth and qualitative reconstructions on challenging YouTube videos.
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important roles play methods for pre-procedural in planning increasingly complex and surgeries learning Machine interventions.
Machine learning methods play increasingly important roles in pre-procedural planning for complex surgeries and interventions.
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visually pathophysiologically generate only but not patients virtual demonstrates authentic also can This GIN interpretable.
This demonstrates GIN can generate virtual patients not only visually authentic but also pathophysiologically interpretable.
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modulation The is to noncoherent transmission. keying on-off achieve adopted differential
The on-off keying differential modulation is adopted to achieve noncoherent transmission.
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The predict (CI) performance. detection Information is to the also Chernoff derived
The Chernoff Information (CI) is also derived to predict the detection performance.
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address detection we problem Next, the reader. at the signal
Next, we address the signal detection problem at the reader.
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Extensive and verify results the of channel numerical method. proposed detectors estimation the effectiveness the
Extensive numerical results verify the effectiveness of the proposed detectors and the channel estimation method.
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presented. branch-cut-and-price this integer A solving problem to programming approach (IP) is
A branch-cut-and-price integer programming (IP) approach to solving this problem is presented.
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by high-level input DenseRAN employing as encoder. DenseNet first an features encodes image visual to
DenseRAN first encodes input image to high-level visual features by employing DenseNet as an encoder.
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primary consistent the of with finding and secondary This concepts bone healing. is
This finding is consistent with the concepts of primary and secondary bone healing.
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most difficult vision computer today. learning in poses challenges one of the Unsupervised
Unsupervised learning poses one of the most difficult challenges in computer vision today.
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on approach methods object is published from unsupervised Our discovery. different
Our approach is different from published methods on unsupervised object discovery.
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student-teacher of over several training. Our algorithm run generations can learning unsupervised
Our unsupervised learning algorithm can run over several generations of student-teacher training.
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disease despite heart of a being cause preventable. common death is Coronary
Coronary heart disease is a common cause of death despite being preventable.
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approaches. study we different transfer learning improved performance, For
For improved performance, we study different transfer learning approaches.
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fuse effective a both We multi-path more architecture feature in representations exploitation. for
We fuse both representations in a multi-path architecture for more effective feature exploitation.
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differentiation to challenge Last, of addition the we plaque in address detection.
Last, we address the challenge of plaque differentiation in addition to detection.
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that one is accidents. the glare of sun traffic The major cause environmental hazards
The sun glare is one of the major environmental hazards that cause traffic accidents.
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traffic died injured in Every to people many accidents related year, glare. and sun
Every year, many people died and injured in traffic accidents related to sun glare.
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Cambridge, in USA. study conducted Massachusetts, case a We
We conducted a case study in Cambridge, Massachusetts, USA.
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presence precisely. the of that method glare predict sun the show Results can
Results show that the method can predict the presence of sun glare precisely.
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method that scenarios. different extensive experiments, between we seamlessly adapts By demonstrate proposed the
By extensive experiments, we demonstrate that the proposed method seamlessly adapts between different scenarios.
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by This algorithm discusses paper Metropolis-Hastings developed \citeA{MarsmanIsing}. a
This paper discusses a Metropolis-Hastings algorithm developed by \citeA{MarsmanIsing}.
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design. Beta-turn prediction in useful protein and experimental studies function is
Beta-turn prediction is useful in protein function studies and experimental design.
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these address provide neural to issues. new networks a Deep opportunity
Deep neural networks provide a new opportunity to address these issues.
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analysis has We complexity the complexity. that proposed algorithm perform to polynomial a show
We perform a complexity analysis to show that the proposed algorithm has polynomial complexity.
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algorithms our then weight correction. multimodal We mode to using tempering apply simulated targets
We then apply simulated tempering algorithms to multimodal targets using our mode weight correction.
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Markov hidden Chinese handwritten (HMMs) Recently, promising recognition. for achieved offline models results text have
Recently, hidden Markov models (HMMs) have achieved promising results for offline handwritten Chinese text recognition.
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morphological extracellular sense mechanical changes. respond intracellular can and Plants forces can and both through
Plants can sense both intracellular and extracellular mechanical forces and can respond through morphological changes.
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are signaling mechanotransduction components largely unknown. the response The responsible for of touch
The signaling components responsible for mechanotransduction of the touch response are largely unknown.
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both model Future the ends of at might link. mobility this extensions of incorporate
Future extensions of this model might incorporate mobility at both ends of the link.
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to efficient be solution. The promises sum-of-sinusoids an model
The sum-of-sinusoids model promises to be an efficient solution.
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into training labels embedding by function randomly is subsets. bagging learned the small Each
Each embedding function is learned by randomly bagging the training labels into small subsets.
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functions. experimentally that create show embedding these embedding We ensembles effective
We show experimentally that these embedding ensembles create effective embedding functions.
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for NPCs. randomly Motion minor plans are often generated game
Motion plans are often randomly generated for minor game NPCs.
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a movements, or pathing Repetitive with and/or regular non-trivial programming require however, system. integration effort
Repetitive or regular movements, however, require non-trivial programming effort and/or integration with a pathing system.
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across different space generally assume Existing domains. networks label identical domain adversarial
Existing domain adversarial networks generally assume identical label space across different domains.
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state-of-the-art datasets. for several partial that PADA tasks results Experiments domain adaptation show on exceeds
Experiments show that PADA exceeds state-of-the-art results for partial domain adaptation tasks on several datasets.
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Moving is a task Segmentation challenging Object for videos. jittery/wobbly
Moving Object Segmentation is a challenging task for jittery/wobbly videos.
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the represent means trajectories average of motion clusters. Frechet The the
The Frechet means represent the average trajectories of the motion clusters.
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accuracy stabilized of clusters groups iteratively motion trajectories. are refined, of The distinct producing the
The accuracy of the motion clusters are iteratively refined, producing distinct groups of stabilized trajectories.
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quantitative proposed Qualitative method. results superiority indicate of and the the
Qualitative and quantitative results indicate the superiority of the proposed method.
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radiologists simulated to are that We between tissue. real and experienced distinguish scar show unable
We show that experienced radiologists are unable to distinguish between real and simulated scar tissue.
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recent in great received fine-grained Computer based years. attention recognition has vision
Computer vision based fine-grained recognition has received great attention in recent years.
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discriminative localization focus and learning. on part feature works Existing
Existing works focus on discriminative part localization and feature learning.
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affect applications. several ad Automatic has useful recognition
Automatic ad affect recognition has several useful applications.
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inform on how ad information approaches understanding. such humans visual do Neither prioritize for us
Neither do such approaches inform us on how humans prioritize visual information for ad understanding.
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and machine challenging a vision. learning and is task crucial in computer It
It is a crucial and challenging task in machine learning and computer vision.
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the effect image we a clustering. features, feature-weak-relevant method propose To for clustering of reduce
To reduce the effect of clustering features, we propose a feature-weak-relevant method for image clustering.
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