text stringlengths 27 153 | label stringlengths 27 153 | id int64 0 40k |
|---|---|---|
assessment degradation To a is performance these novel two proposed. deficiencies, address method | To address these two deficiencies, a novel performance degradation assessment method is proposed. | 39,100 |
of has framework been of kinds effectiveness different our on verified datasets. proposed The | The effectiveness of our proposed framework has been verified on different kinds of datasets. | 39,101 |
new a operations. define suite of data We a new structure, and | We define a new data structure, and a suite of new operations. | 39,102 |
for imputing these missing framework provide and handling, exploring, values. a connected Together, | Together, these provide a connected framework for handling, exploring, and imputing missing values. | 39,103 |
methods These are `naniar`. available package in R the | These methods are available in the R package `naniar`. | 39,104 |
accuracy complexity. and sampling between recognition tradeoff Using model can we different rates, | Using different sampling rates, we can tradeoff between recognition accuracy and model complexity. | 39,105 |
lectin-activated digital. were showed PBMC Robbins responses long that ago | Robbins long ago showed that lectin-activated PBMC responses were digital. | 39,106 |
cells. been confirmed This for T now has pMHC-activated | This has now been confirmed for pMHC-activated T cells. | 39,107 |
general, initial signal individual of of responses independent Hence, are cells in strength. T | Hence, in general, responses of individual T cells are independent of initial signal strength. | 39,108 |
differentiable Our is approach neural novel forward-chaining a induction on rule network. based | Our approach is based on a novel neural forward-chaining differentiable rule induction network. | 39,109 |
predicates, learned and which are from The may rules their be compositionally invented. interpretable | The rules are interpretable and learned compositionally from their predicates, which may be invented. | 39,110 |
remained Automated the key within field a Game design of challenge game AI. has | Automated game design has remained a key challenge within the field of Game AI. | 39,111 |
on learning approach relies machine games. to representations learn of Our instead approximate | Our approach instead relies on machine learning to learn approximate representations of games. | 39,112 |
recombines from conceptual representations games via create expansion. to learned knowledge Our new approach these | Our approach recombines knowledge from these learned representations to create new games via conceptual expansion. | 39,113 |
to games. by existing the for demonstrating evaluate ability the this system approach We recreate | We evaluate this approach by demonstrating the ability for the system to recreate existing games. | 39,114 |
by is through differentiating the camera. network trained The end-to-end | The network is trained end-to-end by differentiating through the camera. | 39,115 |
is consisting images. a BubGAN trained The ten on of dataset thousand initially bubble labeled | The BubGAN is trained initially on a labeled bubble dataset consisting of ten thousand images. | 39,116 |
million dataset using trained BubGAN. is pre-generated A the bubble | A million bubble dataset is pre-generated using the trained BubGAN. | 39,117 |
contain therefore additional labeling. These do detailed not bubble manual images information, require | These images contain detailed bubble information, therefore do not require additional manual labeling. | 39,118 |
with which without is information. useful GAN This conventional generates more the compared images labeling | This is more useful compared with the conventional GAN which generates images without labeling information. | 39,119 |
can bring such into the classroom? How we opportunities | How can we bring such opportunities into the classroom? | 39,120 |
Visual regions most image. an object the important saliency highlight to in detection aims | Visual saliency detection aims to highlight the most important object regions in an image. | 39,121 |
on learning of works forgetting models. in Previous problem the address sequential discriminative | Previous works on sequential learning address the problem of forgetting in discriminative models. | 39,122 |
this case generative models. consider the we of paper In | In this paper we consider the case of generative models. | 39,123 |
agent used testing be make to can approach efficient. This more | This approach can be used to make agent testing more efficient. | 39,124 |
networks. end, we algorithm, a learning \textbf{\textit{rate-adaptive}} present novel training this for To | To this end, we present a novel training algorithm, for learning \textbf{\textit{rate-adaptive}} networks. | 39,125 |
would of Similar related regardless their distances. to each features other be | Similar features would be related to each other regardless of their distances. | 39,126 |
very Sum-of-squares functions are objective vision popular computer algorithms. in | Sum-of-squares objective functions are very popular in computer vision algorithms. | 39,127 |
easy However, functions to objective are always not these optimize. | However, these objective functions are not always easy to optimize. | 39,128 |
apply problem of to the We our stereo ie. motion method | We apply our method to the problem of motion stereo ie. | 39,129 |
motion of geometry from estimating sequence. monocular images the and scene a jointly pairs of | jointly estimating the motion and scene geometry from pairs of images of a monocular sequence. | 39,130 |
panoptic network segmentation. single for a We method present | We present a single network method for panoptic segmentation. | 39,131 |
neural track features. been have using used Siamese deep networks objects recently to Convolutional | Convolutional Siamese neural networks have been recently used to track objects using deep features. | 39,132 |
on per-camera-pair labelled model supervised training manually data. Mostexistingpersonre-identification(re-id)methods learning relyon pairwise | Mostexistingpersonre-identification(re-id)methods relyon supervised model learning on per-camera-pair manually labelled pairwise training data. | 39,133 |
pore image. a generates proposed DeepResPore fingerprint input Specifically, intensity the the model from map | Specifically, the proposed DeepResPore model generates a pore intensity map from the input fingerprint image. | 39,134 |
sets. achieves proposed the performance on both state-of-the-art importantly, test Most approach | Most importantly, the proposed approach achieves state-of-the-art performance on both test sets. | 39,135 |
Efficient practical of is and of great volumes images segmentation and easy importance. | Efficient and easy segmentation of images and volumes is of great practical importance. | 39,136 |
user may very pixel input. a modest final be The classification obtained from | The final pixel classification may be obtained from a very modest user input. | 39,137 |
of our graph ingredient important image method is that encodes a An content. | An important ingredient of our method is a graph that encodes image content. | 39,138 |
this classification. to a segmentation can efficient be through very pixel approach We demonstrate how | We demonstrate how this can be a very efficient approach to segmentation through pixel classification. | 39,139 |
different visual task. accounting for inputs trajectories the stimulus-driven taken during n-back Additionally, explains the | Additionally, accounting for stimulus-driven visual inputs explains the different trajectories taken during the n-back task. | 39,140 |
dynamics. cognitively underpinnings the brain developmentally elucidate structural results and of these relevant spatiotemporal Overall, | Overall, these results elucidate the structural underpinnings of cognitively and developmentally relevant spatiotemporal brain dynamics. | 39,141 |
spherical experiments segmentation promising a semantic on show task. results Initial | Initial experiments show promising results on a spherical semantic segmentation task. | 39,142 |
age classification facial on information. system This the gender consider to re-examination requires | This requires re-examination on the gender classification system to consider facial age information. | 39,143 |
We the controlling newborns vaccination of different adults have and find that epidemics. in consequences | We find that the vaccination of newborns and adults have different consequences in controlling epidemics. | 39,144 |
of most life. diseases influential human's in ophthalmologic one Strabismus the is | Strabismus is one of the most influential ophthalmologic diseases in human's life. | 39,145 |
strabismus and Timely detection to of treatment. contributes its prognosis | Timely detection of strabismus contributes to its prognosis and treatment. | 39,146 |
In dataset established strabismus paper, is tele this a ophthalmologists. by the | In this paper, a tele strabismus dataset is established by the ophthalmologists. | 39,147 |
strategies pruning -- global compared. layer-wise are filter and Two strategies, | Two filter pruning strategies -- global and layer-wise strategies, are compared. | 39,148 |
increasing generalization. improves artificially By number helps and it overfitting examples, of training the reducing | By artificially increasing the number of training examples, it helps reducing overfitting and improves generalization. | 39,149 |
face further on Codes studies be to detection facilitate problem. the will released | Codes will be released to facilitate further studies on the face detection problem. | 39,150 |
been has ing vision computer for task always recognition Facial a scientists experts. and challeng- | Facial recognition has always been a challeng- ing task for computer vision scientists and experts. | 39,151 |
a facial Along lines, disguised same for (DFR). we recognition architecture the learning propose deep | Along the same lines, we propose a deep learning architecture for disguised facial recognition (DFR). | 39,152 |
basic This overall our a system. intelligence architecture to imparts | This overall architecture imparts a basic intelligence to our system. | 39,153 |
approach also The of Identification with our efficiency methods. Disguised state-of-the-art is compared Facial the | The efficiency of our approach is also compared with the state-of-the-art Disguised Facial Identification methods. | 39,154 |
a in Hence, early for is there PMs. the need of anomalies detection | Hence, there is a need for early detection of the anomalies in PMs. | 39,155 |
states. undergoes machine degradation usually complete failure, operation to a series of From normal the | From normal operation to complete failure, the machine usually undergoes a series of degradation states. | 39,156 |
data candidate because scarcity all with the views. is The of of learning challenging task | The task is challenging because of the scarcity of learning data with all candidate views. | 39,157 |
Internet broadcast freely Meanwhile, are (e.g. videos the on available | Meanwhile, broadcast videos are freely available on the Internet (e.g. | 39,158 |
these record selected views, other videos views. only omitting the However, camera candidate the | However, these videos only record the selected camera views, omitting the other candidate views. | 39,159 |
to Then, heatmap objects (e.g. a propose spatial-appearance we describe foreground | Then, we propose a spatial-appearance heatmap to describe foreground objects (e.g. | 39,160 |
this significantly dataset. challenging Our methods outperforms method on state-of-the-art | Our method significantly outperforms state-of-the-art methods on this challenging dataset. | 39,161 |
provability, evidence Conjectandi, of theory. of force probabilities, Ars additive Keywords: proof, non probability | Keywords: force of proof, probability of provability, Ars Conjectandi, non additive probabilities, evidence theory. | 39,162 |
One steps is determine to weights. key point associated the | One key point steps is to determine the associated weights. | 39,163 |
using weights for we determining by approach propose the RIM a OWA quantifier. Then new | Then we propose a new approach for determining OWA weights by using the RIM quantifier. | 39,164 |
datasets. studies tag-sequencing Case for shown transcriptome are and | Case studies are shown for transcriptome and tag-sequencing datasets. | 39,165 |
remote processing. sensing image a classical Destriping in is problem | Destriping is a classical problem in remote sensing image processing. | 39,166 |
variation is oriented accomplish approximation. of the stripe model all, designed the orientation First to | First of all, the oriented variation model is designed to accomplish the stripe orientation approximation. | 39,167 |
networks the achieve state-of-the-art in classification image Neural tasks. | Neural networks achieve the state-of-the-art in image classification tasks. | 39,168 |
in that only are if older wrongly males are males predicting elderly the set). training | wrongly predicting that males are older if only elderly males are in the training set). | 39,169 |
adaptation and such domain our framework standard Finally, validate MNIST. we as SVHN on datasets, | Finally, we validate our framework on standard domain adaptation datasets, such as SVHN and MNIST. | 39,170 |
the the of results test proposal. The the systems verify application effectiveness on | The application results on the test systems verify the effectiveness of the proposal. | 39,171 |
better of determine combinations revealed than removal single ones. Simulations effects traits that | Simulations revealed that combinations of traits better determine removal effects than single ones. | 39,172 |
frameworks. datasets However, methods deep implemented are these various and through and evaluated learning | However, these methods are implemented and evaluated through various datasets and deep learning frameworks. | 39,173 |
covers package methods There that in unifying manner. has these not a a been | There has not been a package that covers these methods in a unifying manner. | 39,174 |
unification, of simplicity, emphasizes Geoseg The flexibility. implementation and | The implementation of Geoseg emphasizes unification, simplicity, and flexibility. | 39,175 |
toolboxes thermal RGB of modalities. annotation support and images sequential the Both the in | Both toolboxes support the annotation of sequential images in the RGB and thermal modalities. | 39,176 |
using of the So have toolboxes. been far, frames thousands annotated of tens | So far, tens of thousands of frames have been annotated using the toolboxes. | 39,177 |
an is system. a non-trivial requires Measuring testing, which for infeasible individual exhaustive discrimination | Measuring individual discrimination requires an exhaustive testing, which is infeasible for a non-trivial system. | 39,178 |
that record it not Calment's unlikely is has How broken? yet been | How unlikely is it that Calment's record has not yet been broken? | 39,179 |
but Calment's impossible. record Jeanne Louise is not exceptional | Jeanne Louise Calment's record is exceptional but not impossible. | 39,180 |
that evidence lifespans. lifespan does It to provide is upper her limit an human not | It does not provide evidence that her lifespan is an upper limit to human lifespans. | 39,181 |
to we performance. estimated clinical Moreover, further parameters incorporate enhance | Moreover, we incorporate estimated clinical parameters to further enhance performance. | 39,182 |
AS-OCT screening dataset, previous system methods. through to On a our is clinical validated comparisons | On a clinical AS-OCT dataset, our system is validated through comparisons to previous screening methods. | 39,183 |
action is common representation optical Currently, for most recognition the motion flow. | Currently, the most common motion representation for action recognition is optical flow. | 39,184 |
dynamics. a adheres which tracking particle Lagrangian on perspective based to Optical on is flow | Optical flow is based on particle tracking which adheres to a Lagrangian perspective on dynamics. | 39,185 |
learn complex in We manner. the filters an end-to-end in domain | We learn filters in the complex domain in an end-to-end manner. | 39,186 |
complex phase-information extraction. Gabor employed typically We complex filters, design filters these for to resemble | We design these complex filters to resemble complex Gabor filters, typically employed for phase-information extraction. | 39,187 |
of coordination Scheduling these strategies discussed. briefly are schemes network | Scheduling strategies of these network coordination schemes are briefly discussed. | 39,188 |
viability with in of analyzed real-time architectures these is mind. surveillance video applications The | The viability of these architectures is analyzed with real-time video surveillance applications in mind. | 39,189 |
the of are degradation perturbation the to they model. sensitive too However, | However, they are too sensitive to the perturbation of the degradation model. | 39,190 |
happiness experiments HAPPEI. challenging Intensive namely the are on performed group-level database, intensity | Intensive experiments are performed on the challenging group-level happiness intensity database, namely HAPPEI. | 39,191 |
the a multiple-komi AlphaGo modification Zero of propose We Zero/Leela paradigm. | We propose a multiple-komi modification of the AlphaGo Zero/Leela Zero paradigm. | 39,192 |
propose (ICNet) Inverse-Consistent this registration. for unsupervised end, we To Network an deformable image deep | To this end, we propose an Inverse-Consistent deep Network (ICNet) for unsupervised deformable image registration. | 39,193 |
code publicly be available. Our made will | Our code will be made publicly available. | 39,194 |
synthetic its computational The evaluated using is advantages algorithm numerically are established. and data new | The new algorithm is evaluated numerically using synthetic data and its computational advantages are established. | 39,195 |
popular a becomes Neural technology Convolutional (CNN) implementing recent FPGA years. Network in for | FPGA becomes a popular technology for implementing Convolutional Neural Network (CNN) in recent years. | 39,196 |
propose under a humans control. user real of generating video-realistic We method for animations | We propose a method for generating video-realistic animations of real humans under user control. | 39,197 |
synthesis. in image outperform the results human state-of-the-art learning-based Our | Our results outperform the state-of-the-art in learning-based human image synthesis. | 39,198 |
have Layer also (LN) (IN) and been Normalization proposed. Instance Normalization | Instance Normalization (IN) and Layer Normalization (LN) have also been proposed. | 39,199 |
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