text stringlengths 27 153 | label stringlengths 27 153 | id int64 0 40k |
|---|---|---|
natural is of description the process of a language image. an generating Image captioning | Image captioning is the process of generating a natural language description of an image. | 37,100 |
can recognition and load systems. as issue challenging be important for Traffic categorized such an | Traffic load recognition can be categorized as an important and challenging issue for such systems. | 37,101 |
KITTI the depth predictions for deep Our state-of-the-art monocular excel on approaches benchmark. | Our deep predictions excel state-of-the-art approaches for monocular depth on the KITTI benchmark. | 37,102 |
tracking inter-dependence minimum of and The Bayesian classification risk. is the utilized detection, then with | The inter-dependence of detection, tracking and classification is then utilized with the minimum Bayesian risk. | 37,103 |
are simulations. numerical superiority using The verified effectiveness of the and proposed approach | The effectiveness and superiority of the proposed approach are verified using numerical simulations. | 37,104 |
the diseases of In reparation. mechanisms impair endothelial addition,chronic | In addition,chronic diseases impair the mechanisms of endothelial reparation. | 37,105 |
conclusion,sepsis,aging dysfunction. chronic features endothelial and induce of In similar diseases | In conclusion,sepsis,aging and chronic diseases induce similar features of endothelial dysfunction. | 37,106 |
an to approach using convolutional We analysis scene networks. semantic deep present | We present an approach to semantic scene analysis using deep convolutional networks. | 37,107 |
to method approaches, contrast surface our volumetric on In operates geometry. directly | In contrast to volumetric approaches, our method operates directly on surface geometry. | 37,108 |
data. point Crucially, other to noisy is construction the real-world clouds and applicable unstructured | Crucially, the construction is applicable to unstructured point clouds and other noisy real-world data. | 37,109 |
algorithm The of types alternates updates. between Metropolis-Hastings two | The Metropolis-Hastings algorithm alternates between two types of updates. | 37,110 |
temporal variations these occur spatial gradually observe and dynamics. to we However, relative that | However, we observe that these variations occur gradually relative to spatial and temporal dynamics. | 37,111 |
deformation the Combined method our with viewpoints. coefficient arbitrary and from texture regression, neural-network-based synthesizes | Combined with neural-network-based coefficient regression, our method synthesizes the texture and deformation from arbitrary viewpoints. | 37,112 |
processes identified The for specific and are inference implementation. reasoning future | The specific inference and reasoning processes are identified for future implementation. | 37,113 |
segmentation. deep algorithm for to semantic learning use a is One instance-aware possibility | One possibility is to use a deep learning algorithm for instance-aware semantic segmentation. | 37,114 |
a data. Such high achieve large methods amount accuracies annotated of but training require | Such methods achieve high accuracies but require a large amount of annotated training data. | 37,115 |
only the We for that each is training class assume image, known. object | We assume that for each training image, only the object class is known. | 37,116 |
background. The system object the corresponding the automatically segments from | The system automatically segments the corresponding object from the background. | 37,117 |
datasets annotated help features. discriminative visual These richly network learn the | These richly annotated datasets help the network learn discriminative visual features. | 37,118 |
introduced to The ensures corresponding is utilization training strategy discriminator. of | The corresponding training strategy is introduced to ensures utilization of discriminator. | 37,119 |
visualization We conduct to experiment fine-grained motivation. Dogs on dataset also Stanford verify our | We also conduct visualization experiment on fine-grained Stanford Dogs dataset to verify our motivation. | 37,120 |
as as programming requires Today's in proficient individuals are software who languages possible. industry many | Today's software industry requires individuals who are proficient in as many programming languages as possible. | 37,121 |
SQL process the However, be challenging. out turns to learning of | However, the process of learning SQL turns out to be challenging. | 37,122 |
being a descriptor only transformed MCC into is a texture originally minutia descriptor. | MCC originally being a minutia only descriptor is transformed into a texture descriptor. | 37,123 |
texture converted minutiae codes minutia codes (MTCC). are The to cylinder cylinder | The minutia cylinder codes are converted to minutiae texture cylinder codes (MTCC). | 37,124 |
setting information. Specifically, facial conditional cycle-consistency the additional into adapt we by landmarks leveraging | Specifically, we adapt cycle-consistency into the conditional setting by leveraging additional facial landmarks information. | 37,125 |
images annotations resolution pathological cancer of and lack of areas. of high (gigapixel) | high resolution (gigapixel) of pathological images and lack of annotations of cancer areas. | 37,126 |
mislabel patches remove set. proposed can The the RAL in the training | The proposed RAL can remove the mislabel patches in the training set. | 37,127 |
also the of classification DenseNet images. is proposed (ADN), for pathological atrous | atrous DenseNet (ADN), is also proposed for the classification of pathological images. | 37,128 |
evaluated ADN proposed and RAL on two datasets, been i.e. The have pathological | The proposed RAL and ADN have been evaluated on two pathological datasets, i.e. | 37,129 |
the performance of The proposed + experimental framework, i.e. ADN demonstrate results excellent the RAL | The experimental results demonstrate the excellent performance of the proposed ADN + RAL framework, i.e. | 37,130 |
from a is reconstruction connectivity for detection Microscopy data. (EM) task Electron critical Synaptic neural | Synaptic connectivity detection is a critical task for neural reconstruction from Electron Microscopy (EM) data. | 37,131 |
well-justified and clean, relies on is training The conceptually and prediction expressive resulting model procedures. | The resulting model is conceptually clean, expressive and relies on well-justified training and prediction procedures. | 37,132 |
to The relationship be explained. a existence such of need remote | The existence of such a remote relationship need to be explained. | 37,133 |
practical overlooked point, This which obvious by literature, implications. has has been the | This point, which has been overlooked by the literature, has obvious practical implications. | 37,134 |
generate Video visual by frames dynamic future learning realistic patterns. prediction aims to | Video prediction aims to generate realistic future frames by learning dynamic visual patterns. | 37,135 |
propose this an Conditional to address Appearance-Motion challenge. We GAN | We propose an Appearance-Motion Conditional GAN to address this challenge. | 37,136 |
dynamic In a adds new categories to dimension inventory practice, with challenge. another this fine-grained | In practice, a dynamic inventory with new fine-grained categories adds another dimension to this challenge. | 37,137 |
arbitrary suitable simulating boundaries. our This makes flows for effectively turbulent with geometrical method | This effectively makes our method suitable for simulating turbulent flows with arbitrary geometrical boundaries. | 37,138 |
Learning in a complex science. number of applications large systems data features the of dynamics | Learning the dynamics of complex systems features a large number of applications in data science. | 37,139 |
graphs with unveil provide patterns that user behavioral They also interpretable and changes. the | They also provide the user with interpretable graphs that unveil behavioral patterns and changes. | 37,140 |
to The individual accommodate changes edges. is notion at local breakpoint of proposed | The notion of local breakpoint is proposed to accommodate changes at individual edges. | 37,141 |
in tracking can time. scheme that real track novel rigid present We object objects a | We present a novel object tracking scheme that can track rigid objects in real time. | 37,142 |
uses subpixel-precise objects image approach The track with to accuracy. edges high | The approach uses subpixel-precise image edges to track objects with high accuracy. | 37,143 |
always parameter However, available. small not models may be | However, small parameter models may not be always available. | 37,144 |
by recent satellite the captured been a moving In years, satellite platform. have videos | In recent years, the satellite videos have been captured by a moving satellite platform. | 37,145 |
noise In the detecting on particular, modeling. we a novel algorithm local offer based | In particular, we offer a novel detecting algorithm based on the local noise modeling. | 37,146 |
exponential noise an potential by distribution. We from the targets probability vehicle differentiate patterns | We differentiate the potential vehicle targets from noise patterns by an exponential probability distribution. | 37,147 |
in proposed background detection Thus, foreground for been enormous decades. object methods recent have subtraction | Thus, enormous background subtraction methods for foreground object detection have been proposed in recent decades. | 37,148 |
combination solution other we is strategies. show And more than that our efficient | And we show that our solution is more efficient than other combination strategies. | 37,149 |
During this polymerases, are ribosomes, proteome all the RNA time, doubled. and | During this time, ribosomes, RNA polymerases, and the proteome are all doubled. | 37,150 |
develops inferential factor This dimensions. theory an state-varying paper of for models large | This paper develops an inferential theory for state-varying factor models of large dimensions. | 37,151 |
are process. recurrent models, functions some loadings Unlike state general factor constant of | Unlike constant factor models, loadings are general functions of some recurrent state process. | 37,152 |
methods Our analysis. estimator principal component nonparametric combines with | Our estimator combines nonparametric methods with principal component analysis. | 37,153 |
conditions. to system This significantly some changing overcome the suddenly helps | This significantly helps the system to overcome some suddenly changing conditions. | 37,154 |
scene proposed. spotting for trainable model An text is end-to-end network neural | An end-to-end trainable neural network model for scene text spotting is proposed. | 37,155 |
both drastically GPU for training and usage computation prediction. times a reduces of Optional the | Optional usage of a GPU drastically reduces the computation times for both training and prediction. | 37,156 |
dial-a-ride problem. paper multi-atomic annealing a static to called This solve (MATA) novel proposes algorithm | This paper proposes a novel algorithm called multi-atomic annealing (MATA) to solve static dial-a-ride problem. | 37,157 |
evolved in We theory. explore has the and involved are it how problems what | We explore how it has evolved and what problems are involved in the theory. | 37,158 |
explained terms of consciousness information. integrated IIT in can is be hypothesis that a | IIT is a hypothesis that consciousness can be explained in terms of integrated information. | 37,159 |
In this urgently a is needed. context, survey IIT for critical | In this context, a critical survey for IIT is urgently needed. | 37,160 |
this we IIT of and concepts fundamental To first related issues. introduce end, | To this end, we first introduce fundamental concepts of IIT and related issues. | 37,161 |
transitions Thereafter, IIT major point related we issues. has intra-model through and out discuss been | Thereafter, we discuss major transitions IIT has been through and point out related intra-model issues. | 37,162 |
in Finally, some issues the extra-model are in last section, IIT's presented. involved theoretical, principles | Finally, in the last section, some theoretical, extra-model issues involved in IIT's principles are presented. | 37,163 |
crisp in such thereby often are Typically, crisp semantics answers. the of resulting queries | Typically, the semantics of such queries are often crisp thereby resulting in crisp answers. | 37,164 |
in address to have past strategies been Several proposed this. | Several strategies have been proposed in past to address this. | 37,165 |
taxonomy Entities generalized. have don't they end a being up and | Entities don't have a taxonomy and they end up being generalized. | 37,166 |
the numbers of estimating crowd Crowd is people task in images. counting | Crowd counting is the task of estimating people numbers in crowd images. | 37,167 |
hard. Density the very in is regression small area person general on | Density regression on the small person area is in general very hard. | 37,168 |
distinct a fusion streams deep TSLFN two network. The followed by includes | The TSLFN includes two distinct deep streams followed by a fusion network. | 37,169 |
datasets. on comprehensive benchmark conduct We experiments four | We conduct comprehensive experiments on four benchmark datasets. | 37,170 |
path feature is in moving important an design. architecture Human | Human moving path is an important feature in architecture design. | 37,171 |
path, elements the architects studying (e.g. By to basic the know arrange where | By studying the path, architects know where to arrange the basic elements (e.g. | 37,172 |
simulation. a system SimArch, path moving presents multi-agent for human This paper | This paper presents SimArch, a multi-agent system for human moving path simulation. | 37,173 |
using behavior Process. model built Decision It by a Markov a involves | It involves a behavior model built by using a Markov Decision Process. | 37,174 |
characteristics human It kinds different by transition also assigning different models of probabilities. | It also models different kinds of human characteristics by assigning different transition probabilities. | 37,175 |
agents. quickly algorithm sub-optimal path of plans A modified weighted the the search A* | A modified weighted A* search algorithm quickly plans the sub-optimal path of the agents. | 37,176 |
traditional rebinning to proposed method. is a compared method The | The proposed method is compared to a traditional rebinning method. | 37,177 |
directly works on clouds. algorithm point Our | Our algorithm works directly on point clouds. | 37,178 |
to regions input An cloud vector. encoded with point is feature missing a first | An input point cloud with missing regions is first encoded to a feature vector. | 37,179 |
and obtained analysed. plots can be different recurrence From variables RQA | From recurrence plots different RQA variables can be obtained and analysed. | 37,180 |
such BER Viterbi-decoder, techniques and inter-leaving. Time are Different used improvement as, Frequency | Different BER improvement techniques are used such as, Viterbi-decoder, Time and Frequency inter-leaving. | 37,181 |
Effect also observed. modulation of different on BER techniques performance is | Effect of different modulation techniques on BER performance is also observed. | 37,182 |
natural metric a image an is for of important images. Learning patches analyzing tool | Learning a metric of natural image patches is an important tool for analyzing images. | 37,183 |
stage. of joint behavior present design the helps the study to predict in The configuration | The present study helps to predict the behavior of joint configuration in the design stage. | 37,184 |
interest attracted powerful of because captioning image in mechanisms performance. have its Attention considerable | Attention mechanisms have attracted considerable interest in image captioning because of its powerful performance. | 37,185 |
propose accessing We mathematical areas (LGAs). a model for among government chemotherapy local | We propose a mathematical model for accessing chemotherapy among local government areas (LGAs). | 37,186 |
the features noise the main relevant Removing without image goal. the of affecting is | Removing the noise without affecting relevant features of the image is the main goal. | 37,187 |
approaches become of solve this over to Sparse decomposition problem. dictionaries used most the redundant | Sparse decomposition over redundant dictionaries become of the most used approaches to solve this problem. | 37,188 |
parts-based NMF naturally sparse, codes favor representations. | NMF codes naturally favor sparse, parts-based representations. | 37,189 |
sparse redundant dictionary as representation, linear a combination represented a of atoms. In signals | In sparse representation, signals represented as a linear combination of a redundant dictionary atoms. | 37,190 |
The one. gives better from denoised proposed an N-NMF image reconstruction of a | The proposed N-NMF gives a better reconstruction of an image from denoised one. | 37,191 |
matrix non-negative dictionary sparse pursuit, denoising, representation, matching Keywords: learning, factorization. Image | Keywords: Image denoising, sparse representation, dictionary learning, matching pursuit, non-negative matrix factorization. | 37,192 |
increasingly vision developed. networks convolutional robotic are systems neural Machine applications for being (CNNs) using | Machine vision systems using convolutional neural networks (CNNs) for robotic applications are increasingly being developed. | 37,193 |
meaning not public affects economic just welfare, from drawn such The health. statements | The meaning drawn from such statements affects economic welfare, not just public health. | 37,194 |
quantum-inspired the on the method shrinks proposed based function. complex threshold wavelet adaptive Then, coefficients | Then, the proposed method shrinks complex wavelet coefficients based on the quantum-inspired adaptive threshold function. | 37,195 |
characterization semantics closure. of develop the bi-preference for We defining a skeptical a semantics | We develop a bi-preference semantics semantics for defining a characterization of the skeptical closure. | 37,196 |
this adversarial propose based problem, adaptation unsupervised To on domain alleviate networks. we framework an | To alleviate this problem, we propose an unsupervised domain adaptation framework based on adversarial networks. | 37,197 |
predictions introduce discriminator ground from truth that masks. we Hence, a distinguishes segmentation | Hence, we introduce a discriminator that distinguishes segmentation predictions from ground truth masks. | 37,198 |
several a performing challenging performers activities. such with the this dataset In we introduce paper | In this paper we introduce such a challenging dataset with several performers performing the activities. | 37,199 |
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