text stringlengths 27 153 | label stringlengths 27 153 | id int64 0 40k |
|---|---|---|
demonstrate STL. superiority on the experiments recognition public datasets of activity Extensive three | Extensive experiments on three public activity recognition datasets demonstrate the superiority of STL. | 36,800 |
an object vehicles. segmentation videos unmanned understanding by important generated plays in Primary role aerial | Primary object segmentation plays an important role in understanding videos generated by unmanned aerial vehicles. | 36,801 |
remains the Depth from estimation challenging a a image problem. wild in single | Depth estimation from a single image in the wild remains a challenging problem. | 36,802 |
images training high-quality One the main data the is lack of wild. obstacle in for | One main obstacle is the lack of high-quality training data for images in the wild. | 36,803 |
al.} our \textit{et work recent As (Holden in | As in our recent work (Holden \textit{et al.} | 36,804 |
problem The is exist numerous regions which all that can object be potentially salient. | The problem is that numerous object regions exist which potentially can all be salient. | 36,805 |
most return which to limited contain a an regions are object. set likely of These | These return a limited set of regions which are most likely to contain an object. | 36,806 |
saliency used estimation methods have Several object proposals. | Several saliency estimation methods have used object proposals. | 36,807 |
this object aim we In salient to detection. improve paper, | In this paper, we aim to improve salient object detection. | 36,808 |
several We context saliency propose computed proposals. which features the from are | We propose several saliency features which are computed from the context proposals. | 36,809 |
of AI Modern by and ever-increasing autonomy. high a robotic level are systems characterized and | Modern AI and robotic systems are characterized by a high and ever-increasing level of autonomy. | 36,810 |
pattern speckle of Recovering its the difficult. an phaseless is from image object | Recovering the image of an object from its phaseless speckle pattern is difficult. | 36,811 |
multiple media is imaging. scattering the matrix Let unknown in transmission alone | Let alone the transmission matrix is unknown in multiple scattering media imaging. | 36,812 |
of During CVSs, productions between TWs moments of direction. tend to silence, reverse | During moments of silence, between productions of CVSs, TWs tend to reverse direction. | 36,813 |
could be Within context, microalgae-based treatment alternative systems treatment plants. used this as | Within this context, microalgae-based treatment systems could be used as alternative treatment plants. | 36,814 |
Alzheimer chose for purpose. this disease We | We chose Alzheimer disease for this purpose. | 36,815 |
disease the Alzheimer loss. is dementia memory leading of cause and | Alzheimer disease is the leading cause of dementia and memory loss. | 36,816 |
CNN, a Kernel Convolutions Convolutional Networks Networks. Enter Neural are of and Neural hybrid | Enter CNN, Convolutional Neural Networks are a hybrid of Kernel Convolutions and Neural Networks. | 36,817 |
By problem can minimal solved using Convolutional Neural error Networks, with rate. be the | By using Convolutional Neural Networks, the problem can be solved with minimal error rate. | 36,818 |
is by stable dynamics simulation. be One to found molecular candidate structure | One candidate structure is found to be stable by molecular dynamics simulation. | 36,819 |
clear intuitive article of provide distinct and In descriptions measures. candidate six we this | In this article we provide clear and intuitive descriptions of six distinct candidate measures. | 36,820 |
performance. with on simulated reveals excellent evaluation An truth, data, quantitative ground available | An evaluation on simulated data, with available ground truth, reveals excellent quantitative performance. | 36,821 |
a associated and are with reconstruction estimate. crude The typically iterative, first seeded algorithms | The associated reconstruction algorithms are typically iterative, and seeded with a crude first estimate. | 36,822 |
Coherent Sci. Imaging method (Pavlov et Bragg deterministic al., for Diffraction A | A deterministic method for Bragg Coherent Diffraction Imaging (Pavlov et al., Sci. | 36,823 |
comparison is the function autocorrelation performed. a as The with point starting appropriate | The appropriate comparison with the autocorrelation function as a starting point is performed. | 36,824 |
utility has functions. achieved been using Traditionally, handcrafted this | Traditionally, this has been achieved using handcrafted utility functions. | 36,825 |
future utility viewpoints. propose usefulness a of better function the that to learn predicts We | We propose to learn a better utility function that predicts the usefulness of future viewpoints. | 36,826 |
explanations to discriminative learn discuss an class features image. textual in Current | Current textual explanations learn to discuss class discriminative features in an image. | 36,827 |
automatic metrics. using explanations counterfactual quantitatively both We proposed analyze and our then generated qualitatively | We then analyze our generated counterfactual explanations both qualitatively and quantitatively using proposed automatic metrics. | 36,828 |
we given with TSWAP, graph undirected an vertices. are colored In | In TSWAP, we are given an undirected graph with colored vertices. | 36,829 |
in A token each colored placed is vertex. | A colored token is placed in each vertex. | 36,830 |
vertices. between of adjacent A tokens be pair swapped can | A pair of tokens can be swapped between adjacent vertices. | 36,831 |
problem. the swaps number The required the minimum in of is of optimization variant | The minimum number of swaps is required in the optimization variant of the problem. | 36,832 |
that between conditions state must consists in The local difference both problems (swaps/moves) transitions satisfy. | The difference between both problems consists in local conditions that state transitions (swaps/moves) must satisfy. | 36,833 |
This design TSWAP. first algorithms attempt for constitutes to the optimal solving | This constitutes the first attempt to design optimal solving algorithms for TSWAP. | 36,834 |
take attribute-based recent of seen past Neural Networks over this The research. has Convolutional field | The recent past has seen attribute-based Convolutional Neural Networks take over this field of research. | 36,835 |
a other obtained the similar hand, On much results can smaller CNN? with be | On the other hand, can similar results be obtained with a much smaller CNN? | 36,836 |
goal answer questions. these paper The is of to an to this give | The goal of this paper is to give an answer to these questions. | 36,837 |
values to need magrittr purrr, stored. intermediate with no Unlike be and | Unlike with magrittr and purrr, no intermediate values need to be stored. | 36,838 |
implementations. favorable runtimes to fc benchmarked, comparison achieve composed in functions other When using | When benchmarked, functions composed using fc achieve favorable runtimes in comparison to other implementations. | 36,839 |
many artificial Dependence tasks an is for intelligence. in concept important | Dependence is an important concept for many tasks in artificial intelligence. | 36,840 |
task by the discarding executed be efficiently more something can task. from A independent | A task can be executed more efficiently by discarding something independent from the task. | 36,841 |
notions extension. apply update in two two We and well-known also issues: belief conservative these | We also apply these two notions in two well-known issues: belief update and conservative extension. | 36,842 |
new update a formula-formula dependence. define Firstly, on we based operator | Firstly, we define a new update operator based on formula-formula dependence. | 36,843 |
forgetting. formula to Furthermore, conservative we extension reduce | Furthermore, we reduce conservative extension to formula forgetting. | 36,844 |
the discriminatory exhibit learned Nevertheless, do to applied when power. enough datasets, not features complex | Nevertheless, when applied to complex datasets, the learned features do not exhibit enough discriminatory power. | 36,845 |
understanding, to a For variations comparison also study GDM. and better simple we | For comparison and better understanding, we also study a simple variations to GDM. | 36,846 |
is difference the key them The between function. discriminant | The key difference between them is the discriminant function. | 36,847 |
to limitations. space due optimization is Combinatorial feasible not search | Combinatorial optimization is not feasible due to search space limitations. | 36,848 |
images. maps depth single for both network A predicts image depth | A single image depth network predicts depth maps for both images. | 36,849 |
energy the of enhance power the intelligent for output potential harvesters. We intervention probe to | We probe the potential for intelligent intervention to enhance the power output of energy harvesters. | 36,850 |
electric a bi-resonant a piezo We case general harvester. study: investigate and principles | We investigate general principles and a case study: a bi-resonant piezo electric harvester. | 36,851 |
intelligent pre-programmed energy-conserving interventions consider We via operations. reversible | We consider intelligent interventions via pre-programmed reversible energy-conserving operations. | 36,852 |
Compared characterization, compactness. dynamic motion and superior optical for exhibits imaging with efficiency flow | Compared with optical flow for motion characterization, dynamic imaging exhibits superior efficiency and compactness. | 36,853 |
can be visual Accordingly, cues involved. view-tolerant more | Accordingly, more view-tolerant visual cues can be involved. | 36,854 |
is perform model learning CNN to feature A on multi-view images. novel proposed dynamic then | A novel CNN model is then proposed to perform feature learning on multi-view dynamic images. | 36,855 |
performance challenging experiments, state-of-the-art three achieve approach In datasets. the can on proposed | In experiments, the proposed approach can achieve state-of-the-art performance on three challenging datasets. | 36,856 |
stages: of two reconstruction. coding proposed coupled coupled image sparse approach The and denoising consists | The proposed coupled image denoising approach consists of two stages: coupled sparse coding and reconstruction. | 36,857 |
Therefore, information. are significant devoted resources spatiotemporal brain process to | Therefore, significant brain resources are devoted to process spatiotemporal information. | 36,858 |
biological compaction are Nevertheless, still lacking. empirical approaches the tackling soundness of time | Nevertheless, empirical approaches tackling the biological soundness of time compaction are still lacking. | 36,859 |
Meanwhile, control with performed the previous of regardless women men, par on conditioning. | Meanwhile, women performed on par with control men, regardless of the previous conditioning. | 36,860 |
on for focused GAN-based solution face the work we synthesis. this attribute In guided | In this work we focused on GAN-based solution for the attribute guided face synthesis. | 36,861 |
steganalysis. has deep its shown in Recently, learning power | Recently, deep learning has shown its power in steganalysis. | 36,862 |
the filters learned. meantime, automatically high-pass In also are the | In the meantime, the high-pass filters are also automatically learned. | 36,863 |
architecture. The proposed prove of the experimental results the effectiveness | The experimental results prove the effectiveness of the proposed architecture. | 36,864 |
do-calculus. the formula We of provide Front-Door a the adjustment using the proof | We provide a proof of the the Front-Door adjustment formula using the do-calculus. | 36,865 |
basic for algorithms We revision and update ACDFs. propose | We propose basic revision and update algorithms for ACDFs. | 36,866 |
static knowledge, call common handle We propositional which we also constraints. | We also handle static propositional common knowledge, which we call constraints. | 36,867 |
results Our show viability of experimental the our approach. | Our experimental results show the viability of our approach. | 36,868 |
our connectedness that while maintaining of suggest Finally, increasing limits the despotism hierarchy. followers results | Finally, our results suggest that increasing the connectedness of followers limits despotism while maintaining hierarchy. | 36,869 |
prediction. the recognition in survey In and techniques complete the paper, this we action state-of-the-art | In this paper, we survey the complete state-of-the-art techniques in the action recognition and prediction. | 36,870 |
Deep Imaging. compressed learning have Resonance shown Magnetic sensing-based performance for promising approaches | Deep learning approaches have shown promising performance for compressed sensing-based Magnetic Resonance Imaging. | 36,871 |
Recently, have visually results. shown to more appealing achieve loss functions adversarial and perceptual been | Recently, adversarial and perceptual loss functions have been shown to achieve more visually appealing results. | 36,872 |
different We and places and excavate the scenes. memorize of semantic stable structure | We excavate and memorize the stable semantic structure of different places and scenes. | 36,873 |
place standard The state-of-the-art on encoder intrinsic proposed recognition outperforms the methods benchmark image-level Nordland. | The proposed intrinsic encoder outperforms the state-of-the-art image-level place recognition methods on standard benchmark Nordland. | 36,874 |
experimental approach TSE the The outperforms proposed state-of-the-art results demonstrate methods. that | The experimental results demonstrate that the proposed approach outperforms state-of-the-art TSE methods. | 36,875 |
is texture network. as a dynamic The directed modeled | The dynamic texture is modeled as a directed network. | 36,876 |
For vertex each is estimated. for transformation, activity network each the | For each network transformation, the activity for each vertex is estimated. | 36,877 |
the activity concatenating is by Then, histograms. texture descriptor constructed | Then, texture descriptor is constructed by concatenating the activity histograms. | 36,878 |
in textures tend These provide better dynamic to performance classification. | These tend to provide better performance in dynamic textures classification. | 36,879 |
exist map that classify models and to data. learn supervised Other | Other models exist that learn to map and classify supervised data. | 36,880 |
Humans recognition. cognitive pattern in many including well tasks remarkably perform | Humans perform remarkably well in many cognitive tasks including pattern recognition. | 36,881 |
understood. this process mechanisms are the However, neuronal well underlying not | However, the neuronal mechanisms underlying this process are not well understood. | 36,882 |
a temporal be span considered to feature this each can sense, axis. In single | In this sense, each feature can be considered to span a single temporal axis. | 36,883 |
obtained data a We motor from cognitive our to applied task. proposed inhibitory scheme experimental | We applied our proposed scheme to experimental data obtained from a motor inhibitory cognitive task. | 36,884 |
The the our good test classification indicating exhibits performance, of adequateness approach. | The test exhibits good classification performance, indicating the adequateness of our approach. | 36,885 |
learning. on optimization prior modeling model-based either mainly or through image inference They focus discriminative | They mainly focus on modeling image prior through either model-based optimization or discriminative inference learning. | 36,886 |
of flexibility learning levels annotation. our model from data The of enables different with joint | The flexibility of our model enables joint learning from data with different levels of annotation. | 36,887 |
architecture cognition a complex process by facilitated brain. human the intricate of is Human | Human cognition is a complex process facilitated by the intricate architecture of human brain. | 36,888 |
conceptual Human formal of classic cognition violate built. on which often probabilities representation are spaces | Human cognition often violate classic probabilities on which formal representation of conceptual spaces are built. | 36,889 |
proposed Also, achieves cognition, particular, the consciousness. model in | Also, the proposed model achieves cognition, in particular, consciousness. | 36,890 |
constructive this achieving consciousness have process demonstrated learning with of scenario. a We | We have demonstrated this process of achieving consciousness with a constructive learning scenario. | 36,891 |
representation severity. is that the interpretable The learns a subject-level model of clinically reflective disease | The model learns a clinically interpretable subject-level representation that is reflective of the disease severity. | 36,892 |
Our for model state-of-the COPD. of severity performance measures predicting art gives in clinical | Our model gives state-of-the art performance in predicting clinical measures of severity for COPD. | 36,893 |
of in video. paper human actions localization spatio-temporal This addresses | This paper addresses spatio-temporal localization of human actions in video. | 36,894 |
gain is mainly improved localization. shown to to temporal due The be | The gain is shown to be mainly due to improved temporal localization. | 36,895 |
learning deep problem. this two encoder-decoder develop architectures address We to based | We develop two encoder-decoder based deep learning architectures to address this problem. | 36,896 |
imaging destructive capacitive paper a non This coplanar non describes invasive device. | This paper describes a coplanar non invasive non destructive capacitive imaging device. | 36,897 |
cortical by with open surfaces is described Specifically, two triangulated boundaries. ribbon the | Specifically, the cortical ribbon is described by two triangulated surfaces with open boundaries. | 36,898 |
approach for great offers potential morphometry. The cortical | The approach offers great potential for cortical morphometry. | 36,899 |
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