text stringlengths 27 153 | label stringlengths 27 153 | id int64 0 40k |
|---|---|---|
infer is lineage from data the to alternative phenotype estimation. latent-variable An approach the by | An alternative approach is to infer the phenotype from the lineage data by latent-variable estimation. | 35,900 |
statistical work, how this we estimations. distorts In the survivor clarify bias | In this work, we clarify how the survivor bias distorts statistical estimations. | 35,901 |
TNM the determinant and prognosis treatment. Predicting is stage of cancer breast major | Predicting TNM stage is the major determinant of breast cancer prognosis and treatment. | 35,902 |
detecting Pathologic commonly histological in (pN-stage) metastasis by slides. N-stage pathologists performed is | Pathologic N-stage (pN-stage) is commonly performed by pathologists detecting metastasis in histological slides. | 35,903 |
by is classifier. combining metastasis node CNN lymph patch-level pN-stage based and detector slide-level predicted | pN-stage is predicted by combining patch-level CNN based metastasis detector and slide-level lymph node classifier. | 35,904 |
denoising LF parallax propose on anisotropic a framework based We novel (APA). analysis | We propose a novel LF denoising framework based on anisotropic parallax analysis (APA). | 35,905 |
to reinforcement the video learn Humans play algorithms. significantly (RL) state-of-the-art than learning faster games | Humans learn to play video games significantly faster than the state-of-the-art reinforcement learning (RL) algorithms. | 35,906 |
efficiency. we Inspired model-based leveraging sample investigate in by for two issues this, RL | Inspired by this, we investigate two issues in leveraging model-based RL for sample efficiency. | 35,907 |
suffers from output This ineffiency can discontinuities at result computational and boundaries. approach in | This approach suffers from computational ineffiency and can result in discontinuities at output boundaries. | 35,908 |
substantially mitigates not does but avoid This limitations. stitching altogether, its | This does not avoid stitching altogether, but substantially mitigates its limitations. | 35,909 |
(overall approach competition. labeling our in entry performance) to the contributed This wining building INRIA | This approach contributed to our wining entry (overall performance) in the INRIA building labeling competition. | 35,910 |
are exploring visual of current on on Most focusing features. recognition researches emotion facial | Most of current researches on visual emotion recognition are focusing on exploring facial features. | 35,911 |
detecting our We test method the pelvic frontal task on hip of fractures from x-rays. | We test our method on the task of detecting hip fractures from frontal pelvic x-rays. | 35,912 |
of compression a BPG artifact removal method propose images. We compressed learned for post-processing by | We propose a method for learned compression artifact removal by post-processing of BPG compressed images. | 35,913 |
networks trained three different We of sizes. | We trained three networks of different sizes. | 35,914 |
We encoded images input different using with QP values. BPG | We encoded input images using BPG with different QP values. | 35,915 |
combination is an the integer posed best as problem. programming The of selection | The selection of the best combination is posed as an integer programming problem. | 35,916 |
imaging in diffraction-photons. problem This paper addresses the of presence the of | This paper addresses the problem of imaging in the presence of diffraction-photons. | 35,917 |
experiment conducted demonstrate of a Additionally, designed proof-of-concept the to the scheme. is viability | Additionally, a proof-of-concept experiment is conducted to demonstrate the viability of the designed scheme. | 35,918 |
has dermoscopic analysis image rapid growth performance. in Automated diagnostic witnessed | Automated dermoscopic image analysis has witnessed rapid growth in diagnostic performance. | 35,919 |
evidence faces decisions. part, in provided adoption support is because resistance, to no Yet | Yet adoption faces resistance, in part, because no evidence is provided to support decisions. | 35,920 |
work, an is this for classification approach In evidence-based presented. | In this work, an approach for evidence-based classification is presented. | 35,921 |
optimal parameters size, etc.) rate, (dilution choosing volume operational Moreover, | Moreover, choosing optimal operational parameters (dilution rate, volume size, etc.) | 35,922 |
with different learning domains. are generalize well concerned models \emph{unseen} to that We | We are concerned with learning models that generalize well to different \emph{unseen} domains. | 35,923 |
novel (GANs). unsupervised Networks approach Generative a introduces Adversarial using co-localization paper for This object | This paper introduces a novel approach for unsupervised object co-localization using Generative Adversarial Networks (GANs). | 35,924 |
consider problem the of summarization. video We | We consider the problem of video summarization. | 35,925 |
such it very However, labeled to and difficult training expensive is examples. create | However, it is very expensive and difficult to create such labeled training examples. | 35,926 |
is this collect. type argue much that to We easier of data | We argue that this type of data is much easier to collect. | 35,927 |
integration. brain and successfully such Our segregation functional important ERGMs reproduced as pooled functional properties | Our pooled ERGMs successfully reproduced important brain properties such as functional segregation and functional integration. | 35,928 |
improve and robustness a with Our larger sample promising are size. in would results | Our results are promising and would improve in robustness with a larger sample size. | 35,929 |
with confounding or variables, hidden (models with insufficient or etc.) latent Causally structures | Causally insufficient structures (models with latent or hidden variables, or with confounding etc.) | 35,930 |
developed the data. belief been from Algorithms network to acquire structure therefore have | Algorithms have been therefore developed to acquire the belief network structure from data. | 35,931 |
already Regrettably, erroneous them are some (e.g. be to of known | Regrettably, some of them are known already to be erroneous (e.g. | 35,932 |
this described the for in paper. case | for the case described in this paper. | 35,933 |
this proposed. remedy is of A failure | A remedy of this failure is proposed. | 35,934 |
validate method through We computer simulations. the new | We validate the new method through computer simulations. | 35,935 |
the considerably healthy Additionally, alters statistics network find we controls. of aripiprazole that | Additionally, we find that aripiprazole considerably alters the network statistics of healthy controls. | 35,936 |
establish aripiprazole their test performance. of adversely we also cognitive a that Using ability, affects | Using a test of cognitive ability, we establish that aripiprazole also adversely affects their performance. | 35,937 |
evidence that network brain This measurable result differences. architecture macroscopic in to provides changes behavioural | This provides evidence that changes to macroscopic brain network architecture result in measurable behavioural differences. | 35,938 |
is This different assessed medications time in have been the first way. this | This is the first time different medications have been assessed in this way. | 35,939 |
averaging multiple the acquiring techniques to improve rely and Current signal acquisitions SNR. DT-CMR on | Current DT-CMR techniques rely on acquiring and averaging multiple signal acquisitions to improve the SNR. | 35,940 |
It interaction, and has visually subtitling. in the video human-robot applications impaired helping | It has applications in human-robot interaction, helping the visually impaired and video subtitling. | 35,941 |
nor visual neither diversity of linguistic datasets complexity adequate Existing structures. contain | Existing datasets neither contain adequate visual diversity nor complexity of linguistic structures. | 35,942 |
introduced. briefly representation which eight six Omega of and networks, languages are classes includes neural | Omega includes eight representation languages and six classes of neural networks, which are briefly introduced. | 35,943 |
ontologies systems. still ontology challenges serious state-of-the-art alignment Large pose to | Large ontologies still pose serious challenges to state-of-the-art ontology alignment systems. | 35,944 |
Evaluation evaluation have of datasets Alignment a conducted comprehensive We the Ontology using the Initiative. | We have conducted a comprehensive evaluation using the datasets of the Ontology Alignment Evaluation Initiative. | 35,945 |
propose tracking, communications. For new we model a mmWave vehicular beam practical for | For beam tracking, we propose a new practical model for mmWave vehicular communications. | 35,946 |
accurate more show produces that optic we traditional than algorithms. SOFAS results flow Finally, | Finally, we show that SOFAS produces more accurate results than traditional optic flow algorithms. | 35,947 |
is the a efficient simple lower EE obtained. Furthermore, bound yet of | Furthermore, a simple yet efficient lower bound of the EE is obtained. | 35,948 |
consists usually weeds in modern agriculture, In the over field. spraying all control herbicides agricultural | In modern agriculture, usually weeds control consists in spraying herbicides all over the agricultural field. | 35,949 |
This herbicide farmers and of environmental practice and pollution. waste cost significant for involves | This practice involves significant waste and cost of herbicide for farmers and environmental pollution. | 35,950 |
Learning impressive problem. different complex Recently shown approach in Deep classification has results | Recently Deep Learning approach has shown impressive results in different complex classification problem. | 35,951 |
method three main consists phases. in proposed The | The proposed method consists in three main phases. | 35,952 |
automatically identify interline to the using detect lines them and crop we First weeds. the | First we automatically detect the crop lines and using them to identify the interline weeds. | 35,953 |
used In second interline phase, to constitute dataset. training are weeds the the | In the second phase, interline weeds are used to constitute the training dataset. | 35,954 |
comparable supervised obtained traditional results training are the labeling. data The to | The results obtained are comparable to the traditional supervised training data labeling. | 35,955 |
when produce divergence characterizes error. view keypoint Epipolar zero distributions reprojection two | Epipolar divergence characterizes when two view keypoint distributions produce zero reprojection error. | 35,956 |
undergone recognition has few adaptation visual progress the in for Domain past great years. | Domain adaptation for visual recognition has undergone great progress in the past few years. | 35,957 |
a nonmonotonic Programming based well-known on Answer is approach Set programs. solving problem (ASP) logic | Answer Set Programming (ASP) is a well-known problem solving approach based on nonmonotonic logic programs. | 35,958 |
this answer inconsistent consider sets. without HEX-programs, In programs work and we ASP- i.e., | In this work we consider inconsistent ASP- and HEX-programs, i.e., programs without answer sets. | 35,959 |
two theoretical motivated by we This applications, concrete work which is also present. | This theoretical work is motivated by two concrete applications, which we also present. | 35,960 |
for a algorithm a single is Typically, used. ground-truth single | Typically, for a single algorithm a single ground-truth is used. | 35,961 |
illuminant performance review evaluation algorithms. estimation of the range then a of We | We then review the performance evaluation of a range of illuminant estimation algorithms. | 35,962 |
images. paper method two-stage proposes the This hyperspectral novel a of classification for | This paper proposes a novel two-stage method for the classification of hyperspectral images. | 35,963 |
information. spatial propose to incorporate approach two-stage In a paper, this we the | In this paper, we propose a two-stage approach to incorporate the spatial information. | 35,964 |
probability will class for be map The resulting noisy. each | The resulting probability map for each class will be noisy. | 35,965 |
information utilizes effectively both data spatial hyperspectral method and sets. spectral of the proposed Our | Our proposed method effectively utilizes both spectral and spatial information of the hyperspectral data sets. | 35,966 |
labelled in a Depth "Relative depths. (RDIS) densely We dataset introduce new Stereo" with relative | We introduce a new "Relative Depth in Stereo" (RDIS) dataset densely labelled with relative depths. | 35,967 |
dataset. RDIS pretrain ResNet on We model first our a | We first pretrain a ResNet model on our RDIS dataset. | 35,968 |
Then we ground-truth on depths. the datasets RGB-D finetune with model metric | Then we finetune the model on RGB-D datasets with metric ground-truth depths. | 35,969 |
During we estimation depth classification task. our formulate a as finetuning, | During our finetuning, we formulate depth estimation as a classification task. | 35,970 |
example-mining concept exploring Instead we of of hard constraint. strategy, large margin introduce the | Instead of exploring hard example-mining strategy, we introduce the concept of large margin constraint. | 35,971 |
two-center on a database organ for of task the We MR experiments perform segmentation. | We perform experiments on a two-center MR database for the task of organ segmentation. | 35,972 |
functioning fundamental Weber's describes of perceptual systems. the law | Weber's law describes the fundamental functioning of perceptual systems. | 35,973 |
pruning. and characteristic important is to an measure ultimately control with It therefore to | It is therefore an important characteristic to measure and ultimately to control with pruning. | 35,974 |
and point individual measured using represented clouds. by The of LiDAR trees was geometry | The geometry of individual trees was measured using LiDAR and represented by point clouds. | 35,975 |
was distribution of discrete sky energy A synthesised public the hemispherical model weather records. using | A discrete energy distribution model of the hemispherical sky was synthesised using public weather records. | 35,976 |
is target domain unsupervised, any domain labels. using Our adaptation without procedure | Our domain adaptation procedure is unsupervised, without using any target domain labels. | 35,977 |
method public validated different chest on segmentation. datasets left/right for our X-ray We two lung | We validated our method on two different chest X-ray public datasets for left/right lung segmentation. | 35,978 |
semantic difficult computer been always segmentation task vision. has a Indoor in | Indoor semantic segmentation has always been a difficult task in computer vision. | 35,979 |
computationally for presents This paper methodology density estimation. efficient new kernel | This paper presents new methodology for computationally efficient kernel density estimation. | 35,980 |
compute density same exactly. estimates to be can The derivative used methodology | The same methodology can be used to compute density derivative estimates exactly. | 35,981 |
is an the size. Given linear computational the in complexity ordered sample sample | Given an ordered sample the computational complexity is linear in the sample size. | 35,982 |
methods in fast the approximation proposed with density results existing extremely Combining methodology estimation. | Combining the proposed methodology with existing approximation methods results in extremely fast density estimation. | 35,983 |
the compared Extensive documents with this approach state-of-the-art. experimentation existing efficiency the and effectiveness of | Extensive experimentation documents the effectiveness and efficiency of this approach compared with the existing state-of-the-art. | 35,984 |
problem, use propose to translation image-to-image models. this we address To | To address this problem, we propose to use image-to-image translation models. | 35,985 |
image both unpaired explore the purpose. We translation of paired this for models usage and | We explore both the usage of paired and unpaired image translation models for this purpose. | 35,986 |
data Combining improvement. to leads further both sources | Combining both data sources leads to further improvement. | 35,987 |
selected is nearest The reference classifier used with the neighbour set. | The nearest neighbour classifier is used with the selected reference set. | 35,988 |
a model. as categorisation can a interpreted be set Such data-driven | Such a set can be interpreted as a data-driven categorisation model. | 35,989 |
cross-referencing. the two models to juxtapose We from the fields enable | We juxtapose the models from the two fields to enable cross-referencing. | 35,990 |
models (VQA) questions open-ended question language answering natural about respond images. to Visual | Visual question answering (VQA) models respond to open-ended natural language questions about images. | 35,991 |
buildings. of derived integrating GBI by is saliency the geometric measured The resulting | The resulting GBI is measured by integrating the derived geometric saliency of buildings. | 35,992 |
degrade face eyeglasses accuracy. significantly recognition of In recognition, the could the application | In the application of face recognition, eyeglasses could significantly degrade the recognition accuracy. | 35,993 |
we a In paper, propose this to synthesis address manner. virtual problem in this | In this paper, we propose to address this problem in a virtual synthesis manner. | 35,994 |
networks actual Convolutional are neural and (ConvNets) image standard classification. recognizement the for | Convolutional neural networks (ConvNets) are the actual standard for image recognizement and classification. | 35,995 |
SqueezeNet, and AlexNet, models study on ConvNets Inception. platform: PyTorch ResNet uses the The available | The study uses ConvNets models available on the PyTorch platform: AlexNet, SqueezeNet, ResNet and Inception. | 35,996 |
goal. of advances approaching the Some recent that we demonstrate are | Some of the recent advances demonstrate we are approaching that goal. | 35,997 |
release research. also our promote We further to code | We also release our code to promote further research. | 35,998 |
rewards. find require agents random in Traditional actions to RL to perform methods exploration | Traditional exploration methods in RL require agents to perform random actions to find rewards. | 35,999 |
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