text stringlengths 27 153 | label stringlengths 27 153 | id int64 0 40k |
|---|---|---|
for the analysis uncertainty organizations uncertainty. to future technological highlight The reduce around opportunities cases | The uncertainty analysis around the cases highlight opportunities for organizations to reduce future technological uncertainty. | 35,400 |
regresses rotations Previous either joint joint work positions. or | Previous work regresses either joint rotations or joint positions. | 35,401 |
requires skeleton bone onto latter avoid invalid stretching constraints and to configurations. The re-projection | The latter requires re-projection onto skeleton constraints to avoid bone stretching and invalid configurations. | 35,402 |
On short-term state-of-the-art predictions, the quantitatively. QuaterNet improves | On short-term predictions, QuaterNet improves the state-of-the-art quantitatively. | 35,403 |
The consists steps. matcher three proposed of | The proposed matcher consists of three steps. | 35,404 |
popular Cricket games one in of this the most era. modern is undoubtedly | Cricket is undoubtedly one of the most popular games in this modern era. | 35,405 |
establish graph positive Specifically, the patch-wise of to via correspondences we matching. training propose pairs | Specifically, we propose to establish the patch-wise correspondences of positive training pairs via graph matching. | 35,406 |
of descriptive these Here, the symbolic languages. we about plasticity ask | Here, we ask about the plasticity of these symbolic descriptive languages. | 35,407 |
presented raw results focusing. data Preliminary for ERS are | Preliminary results are presented for ERS raw data focusing. | 35,408 |
also detecting method is capable incompletion. The of | The method is also capable of detecting incompletion. | 35,409 |
estimating in good object methods pose. causes fail registration This to a | This causes registration methods to fail in estimating a good object pose. | 35,410 |
Furthermore, novel other desired, are statistical advanced if methods strategies computational are needed. | Furthermore, if other advanced statistical methods are desired, novel computational strategies are needed. | 35,411 |
captures is of practical compilers. that language an important KC most the Decision-DNNF | Decision-DNNF is an important KC language that captures most of the practical compilers. | 35,412 |
of of celebrities of from The movies. scenes extensive consists set violent dataset an | The dataset consists of an extensive set of violent scenes of celebrities from movies. | 35,413 |
pairs voting decision-making. well-studied STV are (RP) rules for and group two ranked | STV and ranked pairs (RP) are two well-studied voting rules for group decision-making. | 35,414 |
surprisingly However, literature be broken. about the is should how ties vague | However, the literature is surprisingly vague about how ties should be broken. | 35,415 |
novel under also respectively. ILP propose We STV RP, and formulations for PUT-winners | We also propose novel ILP formulations for PUT-winners under STV and RP, respectively. | 35,416 |
displacement technique novel field. decorrelation This which study addresses proposes estimating elastography a in the | This study proposes a novel elastography technique which addresses the decorrelation in estimating displacement field. | 35,417 |
accuracy recently benefited adding of from distillation residual The knowledge layers. | The accuracy of knowledge distillation recently benefited from adding residual layers. | 35,418 |
allotted with counterparts vehicles subchannels. the communicate Accordingly, directly their utilizing | Accordingly, vehicles communicate directly with their counterparts utilizing the allotted subchannels. | 35,419 |
first This sensor-based work that to features. is data knowledge activity our visualizes abstract the | This is the first work to our knowledge that visualizes abstract sensor-based activity data features. | 35,420 |
in tasks. forefront Deep at stands the many computer vision learning | Deep learning stands at the forefront in many computer vision tasks. | 35,421 |
solution. this address the task We following proposing by | We address this task by proposing the following solution. | 35,422 |
fine-tuning trained The is then annotations such procedure. with by an model noisy improved online | The model trained with such noisy annotations is then improved by an online fine-tuning procedure. | 35,423 |
will be released acceptance. Code and the paper upon data | Code and data will be released upon the paper acceptance. | 35,424 |
Afterwards, implement maps with Block. low-level the connections skip via Fusion feature we | Afterwards, we implement the skip connections with low-level feature maps via Fusion Block. | 35,425 |
is often supervision available not in full practice. However, | However, full supervision is often not available in practice. | 35,426 |
radar requires transmit-receive a function number tasks. to the execute of Each | Each function requires the radar to execute a number of transmit-receive tasks. | 35,427 |
task is NP-hard problem. In an general, scheduling | In general, task scheduling is an NP-hard problem. | 35,428 |
methods low performance. but hand, the other provide have complexity relatively heuristic poor On | On the other hand, heuristic methods have low complexity but provide relatively poor performance. | 35,429 |
assumption present the in images. structural natural regularity neglects | assumption neglects the structural regularity present in natural images. | 35,430 |
chronic is irreversible Glaucoma vision a eye loss. disease to that leads | Glaucoma is a chronic eye disease that leads to irreversible vision loss. | 35,431 |
accuracy, rely However, segmentation ignore methods on heavily visual the measurement-based these and features. various | However, these measurement-based methods rely heavily on the segmentation accuracy, and ignore various visual features. | 35,432 |
the as result. fused different the are probabilities screening final Finally, output of streams | Finally, the output probabilities of different streams are fused as the final screening result. | 35,433 |
by into dividing image the image the Thus, evaluated overlapping regions. is locally | Thus, the image is evaluated locally by dividing the image into overlapping regions. | 35,434 |
Each set fragmented local is region on Gaussians patches. small of a further into | Each region is further fragmented into a set of local Gaussians on small patches. | 35,435 |
a multi-level Gaussians A Gaussian these global creating encodes, each for region structure. local | A global Gaussian encodes, these local Gaussians for each region creating a multi-level structure. | 35,436 |
the Also, earlier we learning metric have on this of descriptor. analyzed methods efficiency | Also, we have analyzed the efficiency of earlier metric learning methods on this descriptor. | 35,437 |
a image is available. Conventionally, reconstructed object good fidelity classification with after is performed object | Conventionally, object classification is performed after a reconstructed object image with good fidelity is available. | 35,438 |
the label. of concatenation The model to class three is predict CNN the outputs used | The concatenation of the three CNN model outputs is used to predict the class label. | 35,439 |
experiments datasets show proposed model. advantage the the The of over benchmark | The experiments over benchmark datasets show the advantage of the proposed model. | 35,440 |
neural features Image extracted a using convolutional pre-trained were network. | Image features were extracted using a pre-trained convolutional neural network. | 35,441 |
ego-motion the are quantized, are features. histograms as windowed Eye and the used and | Eye and ego-motion are quantized, and the windowed histograms are used as the features. | 35,442 |
compared combination better activity obtains for features. individual classification as to of accuracy The features | The combination of features obtains better accuracy for activity classification as compared to individual features. | 35,443 |
convolutional detecting neural use networks fence for We pixels. | We use convolutional neural networks for detecting fence pixels. | 35,444 |
or images relationship one-to-many between can many-to-many. domain one-to-one, The two be | The relationship between two domain images can be one-to-one, one-to-many or many-to-many. | 35,445 |
performed tasks, generation unpaired translation edges-to-objects and including Experiments image on are image translation. facial | Experiments are performed on unpaired image generation tasks, including edges-to-objects translation and facial image translation. | 35,446 |
feedback computational either suffer from from reranking require or current However, users approaches burdensome costs. | However, current reranking approaches either require feedback from users or suffer from burdensome computational costs. | 35,447 |
effective results proposals The our experimental and that are demonstrate efficient. | The experimental results demonstrate that our proposals are effective and efficient. | 35,448 |
voltage-dependent are and Kinetic conductances. parameters closing the that the describe those of opening | Kinetic parameters are those that describe the opening and closing of the voltage-dependent conductances. | 35,449 |
supported theoretical empirical by are arguments evidence. extensive Our | Our theoretical arguments are supported by extensive empirical evidence. | 35,450 |
semantics core idea is called this and The of to SemStyle, model, style. separate | The core idea of this model, called SemStyle, is to separate semantics and style. | 35,451 |
recognition object manipulation. for task is Understanding planning robotic and states important object as as | Understanding object states is as important as object recognition for robotic task planning and manipulation. | 35,452 |
Resnet the based solution problem, model state a to deep proposed. a As is identification | As a solution to the state identification problem, a Resnet based deep model is proposed. | 35,453 |
on classes. is with model eleven trained The of and the Imagenet dataset weights initialized | The model is initialized with Imagenet weights and trained on the dataset of eleven classes. | 35,454 |
generative (e.g. refers an target object Bionic which creativity of design to in a approach | Bionic design refers to an approach of generative creativity in which a target object (e.g. | 35,455 |
of a features objects to designed contain is (e.g. biological source floor lamp) | a floor lamp) is designed to contain features of biological source objects (e.g. | 35,456 |
generative unsupervised realising propose a We approach novel design. deep to DesignGAN, bionic | We propose DesignGAN, a novel unsupervised deep generative approach to realising bionic design. | 35,457 |
Networks have images. Generative photo-realistic in promise shown generating great | Generative Networks have shown great promise in generating photo-realistic images. | 35,458 |
still this, the surrounding Despite is theory area. an them active research | Despite this, the theory surrounding them is still an active research area. | 35,459 |
single MNIST We dataset on the labels. moving our with model train class | We train our model on the single moving MNIST dataset with class labels. | 35,460 |
is unsupervised on Adversarial algorithm feature based learning visual hybrid It Generative an prediction. context | It is an unsupervised visual feature learning hybrid Generative Adversarial algorithm based on context prediction. | 35,461 |
approaches overview till an This of presents now. that developed been have SLAM paper | This paper presents an overview of SLAM approaches that have been developed till now. | 35,462 |
detailed. algorithm, and its further Kinect variants, Fusion in discussed are approaches developed | Kinect Fusion algorithm, its variants, and further developed approaches are discussed in detailed. | 35,463 |
as agent sensory whole The a space task its may posit (i.e. space | The agent may posit as a task space its whole sensory space (i.e. | 35,464 |
to one individual. is common of describe an the Gender most attributes used | Gender is one of the most common attributes used to describe an individual. | 35,465 |
AutoGen termed the for We Autoencoder model, as robust Representative a propose Class same. | We propose a robust Class Representative Autoencoder model, termed as AutoGen for the same. | 35,466 |
academic communities. driving from learning for end-to-end has drawn Imitation autonomous attention | Imitation learning for end-to-end autonomous driving has drawn attention from academic communities. | 35,467 |
applied we issue, order address to technique. In this SMOTE | In order to address this issue, we applied SMOTE technique. | 35,468 |
Different and form cell into variable types compartments patterns. migrate tissue distribution tend various to | Different cell types tend to migrate into various tissue compartments and form variable distribution patterns. | 35,469 |
tissue between correlative Drug of in and requires compartments. analysis various biomarkers development the | Drug development requires correlative analysis of various biomarkers in and between the tissue compartments. | 35,470 |
by are slides pathologists. annotated manually expert To tissue that, enable | To enable that, tissue slides are manually annotated by expert pathologists. | 35,471 |
task. a tissue error-prone annotation is slides labor intensive, of Manual and tedious | Manual annotation of tissue slides is a labor intensive, tedious and error-prone task. | 35,472 |
to for data humans gathering impossible difficult from the UAV robot area or is reach. | UAV is data gathering robot from the difficult or impossible area for humans to reach. | 35,473 |
problem which an dynamics proposed contains by RNN. restoration modeled is a control The | The proposed control problem contains a restoration dynamics which is modeled by an RNN. | 35,474 |
proposed restorer the model unfolding dynamically (DURR). the recurrent We call | We call the proposed model the dynamically unfolding recurrent restorer (DURR). | 35,475 |
is Then often F-measure. saliency of detected evaluated in maps the quality of terms | Then the quality of detected saliency maps is often evaluated in terms of F-measure. | 35,476 |
FLoss activations. produce the continuously network the force to Consequently, can polarized | Consequently, the FLoss can continuously force the network to produce polarized activations. | 35,477 |
structured time (STS) dependency. modeling the interweaved of The requires problem series spatiotemporal classification | The structured time series (STS) classification problem requires the modeling of interweaved spatiotemporal dependency. | 35,478 |
spatial temporal model STS previous dependencies most the methods classification independently. and | most previous STS classification methods model the spatial and temporal dependencies independently. | 35,479 |
motivates merits. network a neural to deep This us with design such | This motivates us to design a deep neural network with such merits. | 35,480 |
and datasets. for and SVHN, test PCN CIFAR We with train image classification ImageNet | We train and test PCN for image classification with SVHN, CIFAR and ImageNet datasets. | 35,481 |
reveal or bottom-up saliency visual attention. Errors prediction of also top-down | Errors of top-down prediction also reveal visual saliency or bottom-up attention. | 35,482 |
and falls and However, efficiency. challenging of remains it accuracy short | However, it remains challenging and falls short of accuracy and efficiency. | 35,483 |
the evaluation conventional We and CNN Model-based methods. Gaussian traditional compared Mixture conduct with the | We conduct the evaluation compared with the conventional CNN and traditional Gaussian Mixture Model-based methods. | 35,484 |
Moreover, using this paper to further, the accuracy improve classification mixup of explores the method. | Moreover, to improve the classification accuracy further, this paper explores the using of mixup method. | 35,485 |
{Radio easy gained for deployment. technology popularity cheap and Frequency Identification has | {Radio Frequency Identification technology has gained popularity for cheap and easy deployment. | 35,486 |
relies extended on Kalman decoupled scenario adjustment filter parameter method. The | The parameter adjustment scenario relies on decoupled extended Kalman filter method. | 35,487 |
outperforms real when experiments that regularization on conventional data. trained DNNs OLE-GRSVNet show with Numerical | Numerical experiments show that OLE-GRSVNet outperforms DNNs with conventional regularization when trained on real data. | 35,488 |
Our method with a navigable portraits space. latent smooth, of photorealistic fictive generates identities | Our method generates photorealistic portraits of fictive identities with a smooth, navigable latent space. | 35,489 |
core people in a categories Understanding cognitive represent is how problem science. | Understanding how people represent categories is a core problem in cognitive science. | 35,490 |
method's a and quantitative qualitative results proof-of-concept feasibility. We for as the provide | We provide qualitative and quantitative results as a proof-of-concept for the method's feasibility. | 35,491 |
from frame face trained to tracker An frame. follows online the | An online trained tracker follows the face from frame to frame. | 35,492 |
schemes constraints from allocation prevent to Both emerging. conflicts incorporate | Both schemes incorporate constraints to prevent allocation conflicts from emerging. | 35,493 |
Plain field convolutional expense networks at enlarge of receptive (CNNs) the the cost. computational generally | Plain convolutional networks (CNNs) generally enlarge the receptive field at the expense of computational cost. | 35,494 |
filtering dilated Recently, to this issue. been adopted has address | Recently, dilated filtering has been adopted to address this issue. | 35,495 |
decrease further used layer channels another of is maps. to the feature convolutional Furthermore, | Furthermore, another convolutional layer is further used to decrease the channels of feature maps. | 35,496 |
dependent the fingerprint immensely of quality are recognition Fingerprint techniques images. on | Fingerprint recognition techniques are immensely dependent on quality of the fingerprint images. | 35,497 |
is proposed. fingerprint In this enhancement a algorithm paper, adaptive quality | In this paper, a quality adaptive fingerprint enhancement algorithm is proposed. | 35,498 |
quality images enhancement process. fingerprint of two-stage a through each undergo quality Fingerprint class | Fingerprint images of each quality class undergo through a two-stage fingerprint quality enhancement process. | 35,499 |
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