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the Extensive proposed datasets on demonstrate experiments real-world of effectiveness method. the various
Extensive experiments on various real-world datasets demonstrate the effectiveness of the proposed method.
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data meet a serious with model movie vision would difficulties. However, from learning
However, learning a vision model from movie data would meet with serious difficulties.
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from movies. In we explore learning vision alternative this an to approach models paper,
In this paper, we explore an alternative approach to learning vision models from movies.
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temporal module. of a we module framework and analysis consider visual comprised Specifically, a a
Specifically, we consider a framework comprised of a visual module and a temporal analysis module.
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proven data sensing promising The is compressed have methods that aggregation existing data for aggregation.
The existing data aggregation methods have proven that compressed sensing is promising for data aggregation.
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efficiency fidelity However, on-node they require or compromise computations. either and energy recovery on complex
However, they compromise either on energy efficiency or recovery fidelity and require complex on-node computations.
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sailing we can find through the prediction. berthing direction ship Additionally, and of
Additionally, we can find the berthing and sailing direction of ship through prediction.
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number addition, describe of propose In viewers' in behavior VR. to attentional a we metrics
In addition, we propose a number of metrics to describe viewers' attentional behavior in VR.
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brain a Lesion Resonance remains task. Magnetic detection in (MRI) challenging Images
Lesion detection in brain Magnetic Resonance Images (MRI) remains a challenging task.
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on annotated learning State-of-the-art large mostly datasets. making use of are based supervised approaches
State-of-the-art approaches are mostly based on supervised learning making use of large annotated datasets.
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provides a of learning. importance This to study MI the mechanism
This provides a mechanism to study the importance of MI learning.
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to are a synthesized classifier. The samples used train then
The synthesized samples are then used to train a classifier.
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Upon acceptance available. will made code be
Upon acceptance code will be made available.
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influenced that performance substrate way has antenna The the the of antenna. the
The way that the antenna substrate has influenced the performance of the antenna.
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of key component A fusion is image registration. MR-TRUS
A key component of MR-TRUS fusion is image registration.
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is a metric smooth order optimization. approach in to for used the Further, multi-pass
Further, a multi-pass approach is used in order to smooth the metric for optimization.
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large registration indicate that results range. the overall a capture has framework The
The results indicate that the overall registration framework has a large capture range.
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detect trained localize Finally, the and target types. to we a tissue model
Finally, we trained a model to detect and localize the target tissue types.
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than approximately convnets, the original descent. Like faster existing solves much ours gradient the problem
Like existing convnets, ours approximately solves the original problem much faster than the gradient descent.
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descent our can gradient network. and on-the-fly in These reported be modifications affect directly the
These modifications affect directly the gradient descent and can be reported on-the-fly in our network.
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stems These modifications unrolling gradient from as the descent. are possible architecture the proposed
These modifications are possible as the proposed architecture stems from unrolling the gradient descent.
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task hierarchy and approach reinforcement We new decomposition introduce formation hierarchical learning. in a to
We introduce a new approach to hierarchy formation and task decomposition in hierarchical reinforcement learning.
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of HAMs. The environment in changes leads internal action the this to hierarchy
The internal action in this environment leads to changes the hierarchy of HAMs.
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method. the Preliminary the experiments of prospects demonstrated
Preliminary experiments demonstrated the prospects of the method.
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anatomical of frameworks. as in Cytoarchitectonic brain references human multimodal parcellations the atlas serve
Cytoarchitectonic parcellations of the human brain serve as anatomical references in multimodal atlas frameworks.
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a results segmentations. these networks better Compared from fine-tuning to significantly in initialization, random
Compared to a random initialization, fine-tuning from these networks results in significantly better segmentations.
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work be Our into divided two contributions. can
Our work can be divided into two contributions.
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intricate machine. scene an a classification problem for is Acoustic
Acoustic scene classification is an intricate problem for a machine.
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convincing (CNN) Convolutional emerging research, of deep Networks achieve Neural field an As results.
As an emerging field of research, deep Convolutional Neural Networks (CNN) achieve convincing results.
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with loss. hearing treat neural which Cochlear to used implants patients are are prosthetics (CIs)
Cochlear implants (CIs) are neural prosthetics which are used to treat patients with hearing loss.
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programmed. CIs need to surgery, After be
After surgery, CIs need to be programmed.
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and apply suppression positive false shape-based We strategy a in a constraint. incorporate training
We incorporate a false positive suppression strategy in training and apply a shape-based constraint.
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and Mixture functions. OWA They both: generalize
They generalize both: OWA and Mixture functions.
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H, simple A a and provided in generalized example. special mixture applied operator, toy is
A special generalized mixture operator, H, is provided and applied in a simple toy example.
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depth Furthermore, this per-pixel novel depth. to a recover introduces dense parameterization work
Furthermore, this work introduces a novel depth parameterization to recover dense per-pixel depth.
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is also maps basis training. generator depth via end-to-end The learned
The basis depth maps generator is also learned via end-to-end training.
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whole system combines (i.e. nicely domain The knowledge
The whole system nicely combines domain knowledge (i.e.
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multi-view deep geometry learning (i.e. constraints) hard-coded and
hard-coded multi-view geometry constraints) and deep learning (i.e.
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learning depth address maps problem. challenging dense to basis feature SfM and learning) the
feature learning and basis depth maps learning) to address the challenging dense SfM problem.
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real of success the proposed prove method. Experiments data large scale on the
Experiments on large scale real data prove the success of the proposed method.
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method second video compared first magnification Eulerian based is to algorithms. motion order and Our
Our method is compared to first and second order motion based Eulerian video magnification algorithms.
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amounts distinct training of a training has when advantage also with data. Our approach limited
Our approach also has a distinct advantage when training with limited amounts of training data.
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achieved computer Neural field. success Convolutional vision Deep (CNN) Networks significant in has
Deep Convolutional Neural Networks (CNN) has achieved significant success in computer vision field.
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another understood machine detect has Can concept? if a to we train machine a
Can we train a machine to detect if another machine has understood a concept?
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this concept. of by principle, is tests on In the that subject conducting possible
In principle, this is possible by conducting tests on the subject of that concept.
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be we questions. to this avoiding However want by direct done procedure
However we want this procedure to be done by avoiding direct questions.
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mechanical material. bulk was implemented of characterizing the A hyperelastic for properties fiber-reinforced model (Holzapfel-Gasser-Ogden)
A fiber-reinforced hyperelastic model (Holzapfel-Gasser-Ogden) was implemented for characterizing the mechanical properties of bulk material.
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tearing failure Results the this fibrous cap of processes. tissue study demonstrate
Results of this study demonstrate the fibrous cap tissue tearing failure processes.
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a train of location We cGAN given generate overhead views imagery. a to ground-level
We train a cGAN to generate ground-level views of a location given overhead imagery.
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outcome rCBV) MTT, lesion to Tmax, rCBF, TTP, perform prediction.
Tmax, TTP, MTT, rCBF, rCBV) to perform lesion outcome prediction.
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counterparts the of lacking address at price this Online a limitation teacher. highcapacity
Online counterparts address this limitation at the price of lacking a highcapacity teacher.
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present strategy an this work, (ONE) for In On-the-fly distillation. one-stage Ensemble online we Native
In this work, we present an On-the-fly Native Ensemble (ONE) strategy for one-stage online distillation.
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techniques different have measuring few last in been the appearance Many material years. for proposed
Many different techniques for measuring material appearance have been proposed in the last few years.
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which appearance modeling. public These produced have large been have data-driven accurate, datasets, used for
These have produced large public datasets, which have been used for accurate, data-driven appearance modeling.
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appearance. excellent predictors We that the functionals of our of attributes perceived show are
We show that our functionals are excellent predictors of the perceived attributes of appearance.
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functionals derive classic Moreover, used representations. to applicable analytic to our BRDF methodology be can
Moreover, our methodology can be used to derive functionals applicable to classic analytic BRDF representations.
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of must capable on-line including single/few trials. It be learning, with
It must be capable of on-line learning, including with single/few trials.
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over be safe catastrophic forgetting. from must Memories/knowledge durations, permanent lifelong
Memories/knowledge must be permanent over lifelong durations, safe from catastrophic forgetting.
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retrieval time. over may i.e., semantically gradually confabulation, errors, accumulate plausible Some
Some confabulation, i.e., semantically plausible retrieval errors, may gradually accumulate over time.
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all computational shown have these has artificial to system been No properties.
No artificial computational system has been shown to have all these properties.
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We classification by networks. localization produced initial from start
We start from initial localization produced by classification networks.
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of and object more localization masks object. accurate more provide contain regions These
These object masks provide more accurate localization and contain more regions of object.
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fine produce processes progressively networks. segmentation These masks to conducted and optimize are object iteratively
These processes are conducted iteratively to progressively produce fine object masks and optimize segmentation networks.
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validation These samples issues protocols processes the include generation the used. and
These issues include the samples generation processes and the validation protocols used.
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self-supervised method a adversarial introduce on learning We based training. novel
We introduce a novel self-supervised learning method based on adversarial training.
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network by inpainting more helps generate images dropped the realistic feature entries. The repair
The repair network helps generate more realistic images by inpainting the dropped feature entries.
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separating counting track the major of is automatic overlapped One using tracks. photomicrographs of difficulties
One of the major difficulties of automatic track counting using photomicrographs is separating overlapped tracks.
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Image recent style broad attention transfer drawn has years. in
Image style transfer has drawn broad attention in recent years.
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to of framework merit new such its is and styles contents. generalizability key A
A key merit of such framework is its generalizability to new styles and contents.
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The decoder. encoder, content of consists overall mixer and framework style encoder,
The overall framework consists of style encoder, content encoder, mixer and decoder.
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results effectiveness proposed have the methods. Extensive robustness and demonstrated experimental the of
Extensive experimental results have demonstrated the effectiveness and robustness of the proposed methods.
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Villegas hierarchical video et The method by prediction al.
The hierarchical video prediction method by Villegas et al.
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target radar (GPR) detection a classification is task. and Ground challenging penetrating
Ground penetrating radar (GPR) target detection and classification is a challenging task.
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efficient are obtain strategies Model-based to for learning. control sample critical
Model-based strategies for control are critical to obtain sample efficient learning.
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explored elegant been in strategy the mostly has tabular setting. planning This
This elegant planning strategy has been mostly explored in the tabular setting.
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model Replay afforded by first the Experience highlight a over flexibility We (ER).
We first highlight the flexibility afforded by a model over Experience Replay (ER).
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also on non-local-based recognition new for We accuracy. propose models further improvement the
We also propose new non-local-based models for further improvement on the recognition accuracy.
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test us earn will be they that called the say scores Let IQ. at the
Let us say that the scores they earn at the test will be called IQ.
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ear we both appearance-based and features for study, utilized the geometric In have representation. features
In the study, we have utilized both geometric features and appearance-based features for ear representation.
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representation and classification. networks The methods convolutional employ neural deep for appearance-based
The appearance-based methods employ deep convolutional neural networks for representation and classification.
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This have a we adaptation. performed domain way,
This way, we have performed a domain adaptation.
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over introduce regular for grids. lossy We data novel a compression multidimensional algorithm
We introduce a novel lossy compression algorithm for multidimensional data over regular grids.
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of The on images. vision-based temporal works proposed sequence a system
The proposed vision-based system works on a temporal sequence of images.
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all Based detected. estimated lane, on other events the are
Based on the estimated lane, all other events are detected.
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to speed. extensive their received and Recently, have filter-based due simplicity attention superior correlation trackers
Recently, correlation filter-based trackers have received extensive attention due to their simplicity and superior speed.
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To tracking forecast is novel a more tracking to be advocated failure. indicator specific, monitoring
To be more specific, a novel tracking monitoring indicator is advocated to forecast tracking failure.
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segmentation semantic neural networks been applied have to problems. Convolutional successfully
Convolutional neural networks have been successfully applied to semantic segmentation problems.
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training the This substantially process. adversarial stabilizes
This substantially stabilizes the adversarial training process.
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fine-grained released This will recognition. research the image facilitate dataset to acceptance be upon of
This dataset will be released upon acceptance to facilitate the research of fine-grained image recognition.
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The for in all transformations piece-wise trained vertices iteration. agent linear each directly predicts
The trained agent directly predicts piece-wise linear transformations for all vertices in each iteration.
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tissue Numerous characterize arterial used to delamination. the models have been
Numerous models have been used to characterize the arterial tissue delamination.
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capture arterial failure well. can CZMs the tissue triangular Thus, exponential-linear response and
Thus, triangular and exponential-linear CZMs can capture the arterial tissue failure response well.
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image significant and speed results for a improves up in segmentation. performance training This learning
This results in a significant training speed up and improves learning performance for image segmentation.
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processing. of in critical (VSR) problems the one become most has Video super-resolution video
Video super-resolution (VSR) has become one of the most critical problems in video processing.
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propose for Adversarial formulation a VSR. In Network(GAN)-based work, we Generative this
In this work, we propose a Generative Adversarial Network(GAN)-based formulation for VSR.
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describe and introduction to neuroimaging We collaborative analysis. a reproducible project-based
We describe a project-based introduction to reproducible and collaborative neuroimaging analysis.
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To we our problems, based substantial project. a group open-ended around these address course
To address these problems, we based our course around a substantial open-ended group project.
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in working successful on real in reproducibly scientific questions. projects broadly were engaging students The
The projects were broadly successful in engaging students in working reproducibly on real scientific questions.
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has counterparts. are been Recently, than proven more CovDs their discriminative it that infinite-dimensional low-dimensional
Recently, it has been proven that infinite-dimensional CovDs are more discriminative than their low-dimensional counterparts.
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and infinite-dimensional is However, the high. CovDs the computational implicit is form load of
However, the form of infinite-dimensional CovDs is implicit and the computational load is high.
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