text stringlengths 27 153 | label stringlengths 27 153 | id int64 0 40k |
|---|---|---|
each the only two. and In one contrast, concern vehicle segmentation of detection semantic | In contrast, vehicle detection and semantic segmentation each only concern one of the two. | 35,700 |
propose tackle this to boundary-aware a We with multi-task semantic problem network. learning | We propose to tackle this problem with a semantic boundary-aware multi-task learning network. | 35,701 |
reconstructed can material fiber The model. reinforced using a structure be composite of a tracking-by-detection | The structure of a fiber reinforced composite material can be reconstructed using a tracking-by-detection model. | 35,702 |
accuracy, the heavily performance. on detection rely recall Tracking-by-detection algorithms especially | Tracking-by-detection algorithms rely heavily on detection accuracy, especially the recall performance. | 35,703 |
significant tracking advanced over state-of-the-art with algorithms fiber show together performance. Experiments improvements detection | Experiments show significant improvements over state-of-the-art fiber detection algorithms together with advanced tracking performance. | 35,704 |
powerful are feedforward for tool functional (DFNNs) a neural approximation. Deep networks | Deep feedforward neural networks (DFNNs) are a powerful tool for functional approximation. | 35,705 |
learning our also in method. We perform to how deep variable describe selection | We also describe how to perform variable selection in our deep learning method. | 35,706 |
experiments our that SISR method validate methods. outperforms state-of-the-art Extensive the existing | Extensive experiments validate that our SISR method outperforms the existing state-of-the-art methods. | 35,707 |
model perspective assume focal a distortion. unknown We and radial unknown length with camera | We assume a perspective camera model with unknown focal length and unknown radial distortion. | 35,708 |
one modelled is distortion The using the parameter. radial model division with | The radial distortion is modelled using the division model with one parameter. | 35,709 |
This a results solver. numerically in fast stable very and | This results in a very fast and numerically stable solver. | 35,710 |
achieve with dynamic routing fewer generalization capsules model more helps parameters. many The capacity | The dynamic routing helps capsules achieve more generalization capacity with many fewer model parameters. | 35,711 |
with methods multiple parallel benchmarks. The achieve other leading a models in proposed performance | The proposed models achieve a parallel performance with other leading methods in multiple benchmarks. | 35,712 |
neural to stimuli. Artificial behavior in activation internal also have response networks | Artificial neural networks also have internal activation behavior in response to stimuli. | 35,713 |
identifies Further, both tasks. high with performance on networks HMS | Further, HMS identifies networks with high performance on both tasks. | 35,714 |
transmit to The explanations knowledge humans. main of to objective is | The main objective of explanations is to transmit knowledge to humans. | 35,715 |
construct for proposes This machine explanations made models. informative predictions learning to work from | This work proposes to construct informative explanations for predictions made from machine learning models. | 35,716 |
human ranked These to understanding. that explanations informative improves filtered produce and concepts are | These concepts are filtered and ranked to produce informative explanations that improves human understanding. | 35,717 |
to are developed experiments the illustrate Numerical provided theory. | Numerical experiments are provided to illustrate the developed theory. | 35,718 |
manifold. Definite Specifically, Symmetric a it is (SPD) Positive | Specifically, it is a Symmetric Positive Definite (SPD) manifold. | 35,719 |
to input being SPD layer we the rectifying the However singular. matrices exploit from prevent | However we exploit the rectifying layer to prevent the input SPD matrices from being singular. | 35,720 |
with objective innovative a introduce function. the also We non-linear an of network learning proposed | We also introduce a non-linear learning of the proposed network with an innovative objective function. | 35,721 |
version of We developed a also named deep have RieMNet, as DRieMNet. | We have also developed a deep version of RieMNet, named as DRieMNet. | 35,722 |
the results our the method experimental superiority Extensive of over state-of-the-art. show | Extensive experimental results show the superiority of our method over the state-of-the-art. | 35,723 |
next is to of KT to question. response The the objective a predict student's | The objective of KT is to predict a student's response to the next question. | 35,724 |
propose address regularization to a these novel then problems. We | We then propose a novel regularization to address these problems. | 35,725 |
method to us proposed DLKT. The allows achieve trustworthy | The proposed method allows us to achieve trustworthy DLKT. | 35,726 |
Such in cortex. the observed mechanisms activity can patterns models spatiotemporal of search underlying facilitate | Such models can facilitate the search of mechanisms underlying observed spatiotemporal activity patterns in cortex. | 35,727 |
spiking (LFPs) the With from local forward activity. models, can be simulated field potentials computed | With forward models, local field potentials (LFPs) can be computed from the simulated spiking activity. | 35,728 |
probabilities distance-dependent the densities, introduces and connection and neuron upscaling delays. The preserves | The upscaling preserves the neuron densities, and introduces distance-dependent connection probabilities and delays. | 35,729 |
disentangled a crucial task. yet representations interpretable is challenging Learning | Learning interpretable disentangled representations is a crucial yet challenging task. | 35,730 |
a of takes the form Our dual autoencoder model structure. | Our model takes the form of a dual autoencoder structure. | 35,731 |
dual be semi-supervised effective. setting, This out very to for swap mechanism, turns tailored | This dual swap mechanism, tailored for semi-supervised setting, turns out to be very effective. | 35,732 |
biometric introduced. security these privacy and address been concerns has cancelable To | To address these security and privacy concerns cancelable biometric has been introduced. | 35,733 |
nearest ridge-based each sector and neighbor are computed. in The minutiae identified, are features | The nearest neighbor minutiae in each sector are identified, and ridge-based features are computed. | 35,734 |
In stimulating experiments, consolidation be presynaptic neurons. synaptic by repeatedly induced can | In experiments, synaptic consolidation can be induced by repeatedly stimulating presynaptic neurons. | 35,735 |
- tool. method gold LCModel the is standard commercial quantification a The fitting current | The current gold standard quantification method is the LCModel - a commercial fitting tool. | 35,736 |
involve simulated Experiments testing brain and in-vivo on and spectra. training human | Experiments involve training and testing on simulated and in-vivo human brain spectra. | 35,737 |
improvement standard consistent classification image are reported datasets. experiments over demonstrate which a Preliminary | Preliminary experiments are reported which demonstrate a consistent improvement over standard image classification datasets. | 35,738 |
tasks is extremely Applying in reinforcement physical-world challenging. learning | Applying reinforcement learning in physical-world tasks is extremely challenging. | 35,739 |
disclose that results recovers The faithfully the Taobao of environment. important Virtual real properties | The results disclose that Virtual Taobao faithfully recovers important properties of the real environment. | 35,740 |
is boundary between relationship estimation What landmarks localisation? the and | What is the relationship between boundary estimation and landmarks localisation? | 35,741 |
other Our easily can method information datasets. from also integrate | Our method can also easily integrate information from other datasets. | 35,742 |
our selection and demonstrate various We in technique segmentation of keypoint effectiveness the applications. | We demonstrate the effectiveness of our technique in various segmentation and keypoint selection applications. | 35,743 |
an information enrich acquisitions Multi-contrast for available of MRI magnitude the anatomy diagnosis. of | Multi-contrast MRI acquisitions of an anatomy enrich the magnitude of information available for diagnosis. | 35,744 |
factor. excessive associated be additional contrasts with may scan times Yet, limiting a | Yet, excessive scan times associated with additional contrasts may be a limiting factor. | 35,745 |
diminished at higher factors acceleration decreases sampling particularly density performance towards reconstruction, In high-spatial-frequencies. with | In reconstruction, performance decreases towards higher acceleration factors with diminished sampling density particularly at high-spatial-frequencies. | 35,746 |
The improve multi-contrast of MRI quality proposed method and can the efficiency exams. scan help | The proposed method can help improve the quality and scan efficiency of multi-contrast MRI exams. | 35,747 |
correlated one-self to protect Physiological preparations biological danger. are with from changes these | Physiological changes are correlated with these biological preparations to protect one-self from danger. | 35,748 |
extend core We idea key the with contributions. two | We extend the core idea with two key contributions. | 35,749 |
the show qualitative and results both segmentations of we inpaintings. Moreover, | Moreover, we show qualitative results of both the segmentations and inpaintings. | 35,750 |
summarization. This the addresses paper problem video of | This paper addresses the problem of video summarization. | 35,751 |
In summarization paper, this a problem. labeling sequence we formulate as video | In this paper, we formulate video summarization as a sequence labeling problem. | 35,752 |
effectiveness Extensive benchmark the two of our on and models. analysis datasets demonstrate experiments | Extensive experiments and analysis on two benchmark datasets demonstrate the effectiveness of our models. | 35,753 |
combining results. the our global prediction local features, we By the final and obtain | By combining the global and the local features, we obtain our final prediction results. | 35,754 |
we After convolution layers, hashing and pooling. deploy for block-wise binary the histogram | After the convolution layers, we deploy binary hashing and block-wise histogram for pooling. | 35,755 |
is identification use for biometrics. known The as physical and behavioral human of characteristics | The use of physical and behavioral characteristics for human identification is known as biometrics. | 35,756 |
is traits biometrics fingerprint Among used. most many the widely the available, the | Among the many biometrics traits available, the fingerprint is the most widely used. | 35,757 |
also have due In addition, recognition focused on multibiometrics researches to many advantages. its recent | In addition, recent researches have also focused on multibiometrics recognition due to its many advantages. | 35,758 |
properly to to A understand kitchen the needs environment cooking cooking robot any activities. continue | A kitchen robot properly needs to understand the cooking environment to continue any cooking activities. | 35,759 |
state not so But like researched detection detection. as object's has well far object been | But object's state detection has not been researched well so far as like object detection. | 35,760 |
of The model optimizers. terms layers, is robustly and analyzed different in | The model is analyzed robustly in terms of different layers, and optimizers. | 35,761 |
a results show qualitative progression state-of-the-art. clear model delivers our quantitative over and Both | Both quantitative and qualitative results show our model delivers a clear progression over state-of-the-art. | 35,762 |
of preventable irreversible the world. in blindness cause but the leading Glaucoma is | Glaucoma is the leading cause of irreversible but preventable blindness in the world. | 35,763 |
the in that observed recently glaucoma been ocular hemodynamics. has It changes induces | It has been recently observed that glaucoma induces changes in the ocular hemodynamics. | 35,764 |
characterizing approach first this propose hemodynamics. those paper for In changes using we computational a | In this paper we propose a first approach for characterizing those changes using computational hemodynamics. | 35,765 |
is from on patient-specific simulation images. The extracted fundus arterial trees performed | The simulation is performed on patient-specific arterial trees extracted from fundus images. | 35,766 |
computation. weight involved score MCW The the technique for matcher achieves in each the optimal | The MCW technique achieves the optimal weight for each matcher involved in the score computation. | 35,767 |
DS to applied to final Further, decision. the induced the theory scores is output | Further, DS theory is applied to the induced scores to output the final decision. | 35,768 |
each A of study the performance shrinkage the evaluate priors. to conducted of is simulation | A simulation study is conducted to evaluate the performance of each of the shrinkage priors. | 35,769 |
illustration empirical data. pan-European regional we use an For growth economic | For an empirical illustration we use pan-European regional economic growth data. | 35,770 |
yet to e.g. well-understood knowledge, not ontological However, what is extent it | However, it is not yet well-understood to what extent ontological knowledge, e.g. | 35,771 |
be (existential) in given principled set a of can a as way. embedded rules, | given as a set of (existential) rules, can be embedded in a principled way. | 35,772 |
convex relations model a are in modelled which regions. Second, we as study | Second, we study a model in which relations are modelled as convex regions. | 35,773 |
previously method improvements methods. the considerably ensures than proposed This accuracy discrimination | This method ensures considerably discrimination accuracy improvements than the previously proposed methods. | 35,774 |
regions. find Recent object instances while categorizing candidate detectors | Recent object detectors find instances while categorizing candidate regions. | 35,775 |
find in We meta-measures. improvements almost large all the | We find large improvements in almost all the meta-measures. | 35,776 |
Experimental evaluations method current to the the state-of-the-art. outperforms in that comparison indicate | Experimental evaluations indicate that the method outperforms in comparison to the current state-of-the-art. | 35,777 |
shown favorable trackers (SVM) machines based performance. have vector Recently, part-based support and | Recently, part-based and support vector machines (SVM) based trackers have shown favorable performance. | 35,778 |
training limit updating applications. the their and process online real-time time-consuming Nonetheless, | Nonetheless, the time-consuming online training and updating process limit their real-time applications. | 35,779 |
In work, recursion to extend GLMB propagate posterior. multi-object analytic we this the the | In this work, we extend the analytic GLMB recursion to propagate the multi-object posterior. | 35,780 |
on mathematical models mass-action based focus deterministic we Here on kinetics. | Here we focus on mathematical models based on deterministic mass-action kinetics. | 35,781 |
positive equations These models of systems coupled nonlinear orthant. the on differential are | These models are systems of coupled nonlinear differential equations on the positive orthant. | 35,782 |
be Recent accurate. surprisingly fast, can low-bitwidth that compact has neural work networks shown | Recent work has shown that fast, compact low-bitwidth neural networks can be surprisingly accurate. | 35,783 |
to experiments We verify effectiveness extensive of the method. the perform proposed | We perform extensive experiments to verify the effectiveness of the proposed method. | 35,784 |
SBU and RGB+D dataset. Kinect proposed Interaction NTU evaluate We on method our | We evaluate our proposed method on NTU RGB+D and SBU Kinect Interaction dataset. | 35,785 |
method interactions. actions of improves addition, the accuracy our in significantly the two-person In | In addition, our method significantly improves the accuracy of the actions in two-person interactions. | 35,786 |
by signals measured and EEG Rating Scale scores. (HDRS) were Depression The responses Hamilton ketamine | The ketamine responses were measured by EEG signals and Hamilton Depression Rating Scale (HDRS) scores. | 35,787 |
EEG patterns may advance. ketamine The for baseline prefrontal recognising account effects at in | The prefrontal EEG patterns at baseline may account for recognising ketamine effects in advance. | 35,788 |
irregular their because trees mostly twisted are of branches. While other shape in | While other trees are irregular in shape mostly because of their twisted branches. | 35,789 |
The other self-shadows than leaves. palms ordinary have large | The palms have large self-shadows other than ordinary leaves. | 35,790 |
in shown palms in of the satellite Then image. field the any it number counts | Then it counts the number of palms in any field shown in the satellite image. | 35,791 |
Dataset). (UCSD Dataset on two Avenue approach our benchmarks We test and popular | We test our approach on two popular benchmarks (UCSD Dataset and Avenue Dataset). | 35,792 |
of potential networks zero-shot great task neural convolutional shown have for learning. the Graph recently | Graph convolutional neural networks have recently shown great potential for the task of zero-shot learning. | 35,793 |
connections node's descendants. on its are These and based relationship a ancestors to added | These connections are added based on a node's relationship to its ancestors and descendants. | 35,794 |
that constraints in specified research in operations the model. be require problems Many | Many problems in operations research require that constraints be specified in the model. | 35,795 |
is the Determining laborsome a right task. hard and constraints | Determining the right constraints is a hard and laborsome task. | 35,796 |
propose process machine learning an principles. to approach We automate this artificial intelligence and using | We propose an approach to automate this process using artificial intelligence and machine learning principles. | 35,797 |
how adjustment to the However, degree never been determine has of discussed. | However, how to determine the degree of adjustment has never been discussed. | 35,798 |
thus testing structure. for market unique market organization a the The environment provides | The market thus provides a unique testing environment for the market organization structure. | 35,799 |
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