text stringlengths 27 153 | label stringlengths 27 153 | id int64 0 40k |
|---|---|---|
method random warping bounds data functional for for a constructing develop with variability. tolerance We | We develop a method for constructing tolerance bounds for functional data with random warping variability. | 35,800 |
functional Component to tolerance factor. bounds utilize Principal second a tolerance construct Analysis The functional | The second functional tolerance bounds utilize functional Principal Component Analysis to construct a tolerance factor. | 35,801 |
control by and is This applications: work disease main motivated process two monitoring. | This work is motivated by two main applications: process control and disease monitoring. | 35,802 |
these identify desirable context, signals. to is this in In abnormalities it | In this context, it is desirable to identify abnormalities in these signals. | 35,803 |
U-Net. segmentation promising encoder-decoders as the approaches Recent using results such show convolutional | Recent approaches show promising segmentation results using convolutional encoder-decoders such as the U-Net. | 35,804 |
has the years. recognition over past Low-resolution few increasing (LRFR) attention received face | Low-resolution face recognition (LRFR) has received increasing attention over the past few years. | 35,805 |
demands for is video biggest technologies the of One LRFR surveillance. | One of the biggest demands for LRFR technologies is video surveillance. | 35,806 |
these are generally small in in Faces size. images | Faces in these images are generally small in size. | 35,807 |
given. definition general First, is problem a | First, a general problem definition is given. | 35,808 |
catogory. on this topic by of the works is systematically Later, analysis presented | Later, systematically analysis of the works on this topic is presented by catogory. | 35,809 |
In methods, settings. to datasets we on experiment focus also and describing addition the | In addition to describing the methods, we also focus on datasets and experiment settings. | 35,810 |
we and effort. summarized general a the Finally, future priorities speculate for the limitations | Finally, we summarized the general limitations and speculate a priorities for the future effort. | 35,811 |
RGB-D reconstruction a We novel method camera. moving a using non-rigid present | We present a novel non-rigid reconstruction method using a moving RGB-D camera. | 35,812 |
rigid use the background. of only approaches scene and completely non-rigid Current the ignore part | Current approaches use only non-rigid part of the scene and completely ignore the rigid background. | 35,813 |
large tracking sufficient lack information frame-to-frame for parts often geometric Non-rigid photometric and motion. | Non-rigid parts often lack sufficient geometric and photometric information for tracking large frame-to-frame motion. | 35,814 |
foreground pose camera approach from rigid background Our uses estimated the for tracking. | Our approach uses camera pose estimated from the rigid background for foreground tracking. | 35,815 |
robust occurs. enables frame-to-frame motion where large situations This in foreground tracking | This enables robust foreground tracking in situations where large frame-to-frame motion occurs. | 35,816 |
is network neural termed The i.e. CocoNet, | The neural network is termed CocoNet, i.e. | 35,817 |
one a single image encodes only. network | one network encodes a single image only. | 35,818 |
general and a technique present artifact compression. removal We that performs both image | We present a general technique that performs both artifact removal and image compression. | 35,819 |
removal, image try compression and a artifact its artifacts. remove JPEG we For to input | For artifact removal, we input a JPEG image and try to remove its compression artifacts. | 35,820 |
reuses and legacy technique compression routines. Our decompression JPEG's | Our technique reuses JPEG's legacy compression and decompression routines. | 35,821 |
paper of localization strives in actions videos. human for This spatio-temporal | This paper strives for spatio-temporal localization of human actions in videos. | 35,822 |
cumbersome and we propose to As annotating video boxes error-prone, bypass expensive, in box-supervision. is | As annotating boxes in video is expensive, cumbersome and error-prone, we propose to bypass box-supervision. | 35,823 |
action on Instead, we based point-supervision. localization introduce | Instead, we introduce action localization based on point-supervision. | 35,824 |
unsupervised a We provide spatio-temporal which start proposals, candidate of videos. regions in set from | We start from unsupervised spatio-temporal proposals, which provide a set of candidate regions in videos. | 35,825 |
randomly For MCNN. each of an layer activation selected is for a function applications, both | For both applications, an activation function is randomly selected for each layer of a MCNN. | 35,826 |
surveillance. is tumor consistent for detection reliable A fully necessary and meningioma tool for automated | A fully automated tool for meningioma detection is necessary for reliable and consistent tumor surveillance. | 35,827 |
studies concerning detection. been automated There have lesion various | There have been various studies concerning automated lesion detection. | 35,828 |
machine in networks learning performance neural various impressive demonstrated Deep have tasks. | Deep neural networks have demonstrated impressive performance in various machine learning tasks. | 35,829 |
to in However, changes notoriously are distribution. data they sensitive | However, they are notoriously sensitive to changes in data distribution. | 35,830 |
drastic can a slight distribution lead performance change even in the reduction. Often, to | Often, even a slight change in the distribution can lead to drastic performance reduction. | 35,831 |
that to standard important certain shows adapt fine-tuning in the Our work fails model cases. | Our work shows that standard fine-tuning fails to adapt the model in certain important cases. | 35,832 |
learning propose dual-memory for this lifelong self-organizing scenarios. paper, architecture a In we | In this paper, we propose a dual-memory self-organizing architecture for lifelong learning scenarios. | 35,833 |
so as minimize brain The the that costs pervades certain to neuroscience. theoretical idea functions | The idea that the brain functions so as to minimize certain costs pervades theoretical neuroscience. | 35,834 |
consider partial the often derivatives researchers vector practice, of In the as gradient. | In practice, researchers often consider the vector of partial derivatives as the gradient. | 35,835 |
contribute human Rice food one significantly supplies. that to staple the been has foods of | Rice has been one of the staple foods that contribute significantly to human food supplies. | 35,836 |
been have exported worldwide. and rice cultivated, Numerous varieties imported, | Numerous rice varieties have been cultivated, imported, and exported worldwide. | 35,837 |
varieties mixed could rice Different during and production rice be trading. | Different rice varieties could be mixed during rice production and trading. | 35,838 |
data determined the CNN. spatio-spectral from then a using varieties acquired rice are The deep | The rice varieties are then determined from the acquired spatio-spectral data using a deep CNN. | 35,839 |
significant have detection a Pulmonary results later on the impact diagnosis. nodules | Pulmonary nodules detection results have a significant impact on the later diagnosis. | 35,840 |
with traditional Furthermore, experimental the U-Net. the we compare results | Furthermore, we compare the experimental results with the traditional U-Net. | 35,841 |
implementation considerable a of discrete Therefore is satisfactory interest. | Therefore a satisfactory discrete implementation is of considerable interest. | 35,842 |
continuous that concrete both entities and have manifestations. discrete abstract Operators can are | Operators are abstract entities that can have both continuous and discrete concrete manifestations. | 35,843 |
games, of the We for propose generation tutorial problem i.e. | We propose the problem of tutorial generation for games, i.e. | 35,844 |
as play to tutorials problem. teach players an can generate which games, to AI | to generate tutorials which can teach players to play games, as an AI problem. | 35,845 |
model the observed is A Gaussian mixture for fitted data. | A Gaussian mixture model is fitted for the observed data. | 35,846 |
update further i.e. to We resort bounds function value estimation, approximations to | We further resort to function approximations to update value bounds estimation, i.e. | 35,847 |
are learned actor gradient-based critic and parameters approaches. via Both | Both actor and critic parameters are learned via gradient-based approaches. | 35,848 |
are required Visual to today adaptive recognition exhibit algorithms abilities. | Visual recognition algorithms are required today to exhibit adaptive abilities. | 35,849 |
Image-to-image learning. deep translation has due advances recently in to significant received attention | Image-to-image translation has recently received significant attention due to advances in deep learning. | 35,850 |
essential to neural any the functioning system. is of Control | Control is essential to the functioning of any neural system. | 35,851 |
Evaluations SCFace datasets. on are conducted portions UCCSface of challenging and the | Evaluations are conducted on challenging portions of the SCFace and UCCSface datasets. | 35,852 |
carrier FBS tier for is sensing its and equipped transmissions. to The support NOMA | The FBS tier is equipped to support NOMA and carrier sensing for its transmissions. | 35,853 |
the The goals of two-fold. paper are | The goals of the paper are two-fold. | 35,854 |
errors lexicon-free requires explicit in confidence filtering However, calculation. scenarios, an | However, in lexicon-free scenarios, filtering errors requires an explicit confidence calculation. | 35,855 |
of applications in signal reconstruction matrix The communications processing. arises in low-rank problem various and | The problem of low-rank matrix reconstruction arises in various applications in communications and signal processing. | 35,856 |
this we work, problem. In technique optimisation a a based novel on propose | In this work, we propose a technique based on a novel optimisation problem. | 35,857 |
saliency a in page prediction challenge vision. problem is transformation Web and computer image | Web page saliency prediction is a challenge problem in image transformation and computer vision. | 35,858 |
part integral Video in become games have an of times. people's most lives recent | Video games have become an integral part of most people's lives in recent times. | 35,859 |
This being abundance of an led data online. to games shared to related video | This led to an abundance of data related to video games being shared online. | 35,860 |
recommendations. help powerful with providing that users by tools them are systems Recommendation meaningful | Recommendation systems are powerful tools that help users by providing them with meaningful recommendations. | 35,861 |
the on propose predict (unimodal). based G-Score the trailer to first models We alone | We first propose models to predict the G-Score based on the trailer alone (unimodal). | 35,862 |
is greedy of hereby fast heuristic. usually construction The involving solutions a problem-specific, feasible | The construction of feasible solutions is hereby problem-specific, usually involving a fast greedy heuristic. | 35,863 |
GAPF (CRB). Carlo bound the the estimator simulations matches that Cramer-Rao Monte show performance | Monte Carlo simulations show that the GAPF estimator performance matches the Cramer-Rao bound (CRB). | 35,864 |
to an is also REM. used estimator The create | The estimator is also used to create an REM. | 35,865 |
during common biopsy Needle interventions minimally or as brachytherapy. such invasive insertion is | Needle insertion is common during minimally invasive interventions such as biopsy or brachytherapy. | 35,866 |
Furthermore, scenario. ex-vivo our an needle prostate we in approach insertion validate | Furthermore, we validate our approach in an ex-vivo prostate needle insertion scenario. | 35,867 |
detection. may contain some However, edge points of to imperfect the due outliers scattering | However, some of the scattering points may contain outliers due to imperfect edge detection. | 35,868 |
applied. is optimization a LPNN to of problem, calculate this real-time Then, solution | Then, to calculate a real-time solution of this optimization problem, LPNN is applied. | 35,869 |
problem, ambiguous captioning is for image. suitable an with Image many captions an | Image captioning is an ambiguous problem, with many suitable captions for an image. | 35,870 |
facto for beam To captions. de the method is ambiguity, search multiple sampling address | To address ambiguity, beam search is the de facto method for sampling multiple captions. | 35,871 |
However, captions. generic to known produce is search beam computationally expensive and | However, beam search is computationally expensive and known to produce generic captions. | 35,872 |
VAE diverse, accurate. and GAN less are Though | Though diverse, GAN and VAE are less accurate. | 35,873 |
drive as summary since generation. should use our part-of-speech We summaries, caption | We use part-of-speech as summaries, since our summary should drive caption generation. | 35,874 |
a introduce probabilistic inference models. compilation, graphical for discrete algorithm approximate collapsed We novel | We introduce collapsed compilation, a novel approximate inference algorithm for discrete probabilistic graphical models. | 35,875 |
compilation shows that well evaluation on benchmarks. standard collapsed performs experimental Our | Our experimental evaluation shows that collapsed compilation performs well on standard benchmarks. | 35,876 |
the to model scheme the decompose the We develop mode-decomposition study OAM-modes. and channel | We study the channel model and develop the mode-decomposition scheme to decompose the OAM-modes. | 35,877 |
the angles we model of impact the scenario. under non-coaxial channel on included Then, discuss | Then, we discuss the impact of included angles on the channel model under non-coaxial scenario. | 35,878 |
the studies pairing performance of schemes device carried three been have MTC comparison out. Furthermore, | Furthermore, performance comparison studies of the three MTC device pairing schemes have been carried out. | 35,879 |
gradients target (e.g. the of method uses Our concept any | Our method uses the gradients of any target concept (e.g. | 35,880 |
convolutional flows the that into of a target class) layer. score | the score of target class) that flows into a convolutional layer. | 35,881 |
"Inception" efficiency. fuses classification and module features The as network adopts for representation multi-scale an | The classification network fuses multi-scale features as representation and adopts an "Inception" module for efficiency. | 35,882 |
evaluate experiments. proposed its extensive components TSR system with We and the | We evaluate the proposed TSR system and its components with extensive experiments. | 35,883 |
represents of countries. habits of attributes its food and different peoples the Diversity culinary from | Diversity of food and its attributes represents the culinary habits of peoples from different countries. | 35,884 |
proteins bacterial We model study biosynthesis of generic a in of stochastic operons. | We study a stochastic model of biosynthesis of proteins in generic bacterial operons. | 35,885 |
a as The process effect process commonly known a with leads to combined diffusion jumps. | The combined effect leads to a process commonly known as a diffusion process with jumps. | 35,886 |
for is of technique generation mobile millimeter a wave next communication. the The promising | The millimeter wave is a promising technique for the next generation of mobile communication. | 35,887 |
channel the information the key is the accurate design. for precoding state However, | However, the accurate channel state information is the key for the precoding design. | 35,888 |
stage, of first subspace in channel column matrix. we the the Specifically, the estimate | Specifically, in the first stage, we estimate the column subspace of the channel matrix. | 35,889 |
simultaneously the and Both network. to spectral the proposed are assigned information spatial | Both the spatial and spectral information are simultaneously assigned to the proposed network. | 35,890 |
focuses a distributed radar target system. on multiple-input-multiple-output (MIMO) widely paper localization This in | This paper focuses on target localization in a widely distributed multiple-input-multiple-output (MIMO) radar system. | 35,891 |
accurate We of the position estimated target by can errors. obtain measurement the minimizing an | We can obtain an accurate estimated position of the target by minimizing the measurement errors. | 35,892 |
constraints. LPNN is it and function twice-differentiable objective However, that requires well known | However, it is well known that LPNN requires twice-differentiable objective function and constraints. | 35,893 |
the second locally in While is method, algorithm competitive utilized. | While in the second method, locally competitive algorithm is utilized. | 35,894 |
prediction pairs. Existing with verification kinship kinship focuses on primarily image in research | Existing research in kinship verification primarily focuses on kinship prediction with image pairs. | 35,895 |
sparsity class-specific matrix. introduces This in new autoencoder weight the formulation | This new autoencoder formulation introduces class-specific sparsity in the weight matrix. | 35,896 |
Lip-reading. movement the recognition using is speech Visual of called lip | Visual recognition of speech using the lip movement is called Lip-reading. | 35,897 |
sentence can level end end also model same The for classification. be extended to | The same model can also be extended for end to end sentence level classification. | 35,898 |
neural building convolutional this efficient paper, networks. and interested in are In we lightweight | In this paper, we are interested in building lightweight and efficient convolutional neural networks. | 35,899 |
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