text stringlengths 27 153 | label stringlengths 27 153 | id int64 0 40k |
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(HTD). new method, proposes a This named paper hyperbolic-tangent decay scheduling | This paper proposes a new scheduling method, named hyperbolic-tangent decay (HTD). | 36,100 |
modulation. secure for work, linear this investigate precoding In we spatial | In this work, we investigate linear precoding for secure spatial modulation. | 36,101 |
to optimum. but method much local The usually GD-based complexity converges a lower has | The GD-based method has much lower complexity but usually converges to a local optimum. | 36,102 |
secrecy even design Our achieves than SCA-based design. rate the existing higher a GD-based | Our SCA-based design even achieves a higher secrecy rate than the existing GD-based design. | 36,103 |
the a book" humans recognize How do action "opening ? | How do humans recognize the action "opening a book" ? | 36,104 |
this Graph We representation Convolutional perform graph Networks. on reasoning via | We perform reasoning on this graph representation via Graph Convolutional Networks. | 36,105 |
Something-Something state-of-the-art results Charades datasets. on achieve We both and | We achieve state-of-the-art results on both Charades and Something-Something datasets. | 36,106 |
International become the biomedical standard challenges validation analysis image for methods. have of | International challenges have become the standard for validation of biomedical image analysis methods. | 36,107 |
Humans knowledge novel generalize, applying situations prior readily stimuli. to and | Humans readily generalize, applying prior knowledge to novel situations and stimuli. | 36,108 |
for have a unified representation to acting planning. and | to have a unified representation for acting and planning. | 36,109 |
past or work remained informal However, has subject on implementation-focused. the | However, past work on the subject has remained informal or implementation-focused. | 36,110 |
its the properties of planning. HTN We HTN relation to and acting study also | We also study the properties of HTN acting and its relation to HTN planning. | 36,111 |
hand, approaches, scalable and algorithms. on Model-based other the models require | Model-based approaches, on the other hand, require models and scalable algorithms. | 36,112 |
Convolution execution of time Neural Convolutional overall (CNNs). Networks the operations dominate | Convolution operations dominate the overall execution time of Convolutional Neural Networks (CNNs). | 36,113 |
by The and operations and are Easy Convolution Random convolution Pooling conventional pooling (ECP). replaced | The conventional convolution and pooling operations are replaced by Easy Convolution and Random Pooling (ECP). | 36,114 |
computations a the needed. As quarter of result, are a convolution conventional only | As a result, only a quarter of the conventional convolution computations are needed. | 36,115 |
a detection crucial It early of is where disease is importance. | It is a disease where early detection is of crucial importance. | 36,116 |
Colonoscopy precancerous early is used of for pathology. commonly detection cancer and | Colonoscopy is commonly used for early detection of cancer and precancerous pathology. | 36,117 |
are along encoders specific the encoder trained learning with Each of rate the decoder. | Each of the encoders are trained with encoder specific learning rate along the decoder. | 36,118 |
technique system. makes implement easy our localized In a measurement millimeter-precision a to situation, it | In a localized situation, our technique makes it easy to implement a millimeter-precision measurement system. | 36,119 |
image (SISR). achieved have success remarkable in networks single super-resolution neural Deep | Deep neural networks have achieved remarkable success in single image super-resolution (SISR). | 36,120 |
training joint importance problem. into Specifically, and network a optimization formulate learning the the we | Specifically, we formulate the network training and the importance learning into a joint optimization problem. | 36,121 |
treatment identifies Under average heterogeneity, effect an instrument-specific the effect local treatment (LATE). instrument | Under treatment effect heterogeneity, an instrument identifies the instrument-specific local average treatment effect (LATE). | 36,122 |
a Graph-based machine role key in representations play learning. | Graph-based representations play a key role in machine learning. | 36,123 |
to process convolution systems Deep extensively data. input operations use learning | Deep learning systems extensively use convolution operations to process input data. | 36,124 |
techniques have for to convolutions developed conditions. restricted approximations Previous | Previous techniques have developed approximations to convolutions for restricted conditions. | 36,125 |
applicability be their Unfortunately, general and is used limited clouds. cannot point for | Unfortunately, their applicability is limited and cannot be used for general point clouds. | 36,126 |
segmentation. a for propose novel vessel We system deep-learning-based | We propose a novel deep-learning-based system for vessel segmentation. | 36,127 |
as They reduced flexibility. benefits such crew costs, promise increased and safety increased | They promise benefits such as reduced crew costs, increased safety and increased flexibility. | 36,128 |
resulting We framework call the G\"odel design machine. | We call the resulting framework design G\"odel machine. | 36,129 |
solve novel problems machine by Such design could a a concepts. of generating variety | Such a machine could solve a variety of design problems by generating novel concepts. | 36,130 |
it the are way change itself. addition, could generated In these by modifying concepts | In addition, it could change the way these concepts are generated by modifying itself. | 36,131 |
new perceptual opinion. human is with PieAPP, The our metric, error estimated by well-correlated | The perceptual error estimated by our new metric, PieAPP, is well-correlated with human opinion. | 36,132 |
vital importance analysis retinopathy. Automatic tasks of is blood retinal of images diagnosis of in | Automatic analysis of retinal blood images is of vital importance in diagnosis tasks of retinopathy. | 36,133 |
a step is vessels Segmenting retinal fundamental images. analysing accurately in | Segmenting vessels accurately is a fundamental step in analysing retinal images. | 36,134 |
to U-net We connection detect utilize vessels. with residual | We utilize U-net with residual connection to detect vessels. | 36,135 |
large is deep For required. a our training dataset network, | For training our deep network, a large dataset is required. | 36,136 |
highlights learning-based A proposed thorough classic approach. robustness the techniques comparison of the with and | A thorough comparison with classic and learning-based techniques highlights the robustness of the proposed approach. | 36,137 |
to time. off it solution is necessary inference, against accuracy In often trade approximate | In approximate inference, it is often necessary to trade off accuracy against solution time. | 36,138 |
settings algorithm to find trade-off The optimal algorithm. run-time pre-processing for performs extended the | The trade-off algorithm performs pre-processing to find optimal run-time settings for the extended algorithm. | 36,139 |
task. a cluttered and crowded a every person's in environment action is challenging Recognizing | Recognizing every person's action in a crowded and cluttered environment is a challenging task. | 36,140 |
this solve novel In methods we paper, propose this problem. to | In this paper, we propose novel methods to solve this problem. | 36,141 |
accurate. that fast, proposed show the is reliable results experimental The and method | The experimental results show that the proposed method is fast, reliable and accurate. | 36,142 |
word task. is descriptions Generating from images challenging a | Generating images from word descriptions is a challenging task. | 36,143 |
of generate adversarial shown are be able realistic to Generative real-life objects. networks(GANs) images to | Generative adversarial networks(GANs) are shown to be able to generate realistic images of real-life objects. | 36,144 |
demonstrate approaches. results that other the produces our better proposed We model state-of-art surpassing | We demonstrate that our proposed model produces the better results surpassing other state-of-art approaches. | 36,145 |
a in parsing Face image basic is task analysis. face | Face parsing is a basic task in face image analysis. | 36,146 |
eyes such as amounts labeling pixel facial each to It and appropriate nose. with parts | It amounts to labeling each pixel with appropriate facial parts such as eyes and nose. | 36,147 |
scales. different (CNNs) input consists taking neural of networks convolutional It multiple in | It consists of multiple convolutional neural networks (CNNs) taking input in different scales. | 36,148 |
two-stage is parsing A for stages pipeline proposed use and iCNN. face both | A two-stage pipeline is proposed for face parsing and both stages use iCNN. | 36,149 |
have obtained dataset the state-of-the-art On results methods. better a benchmark we than | On a benchmark dataset we have obtained better results than the state-of-the-art methods. | 36,150 |
data imaging step nonlinear effective toward Finally, harmonisation. normalisation intensity that is validate we a | Finally, we validate that nonlinear intensity normalisation is a step toward effective imaging data harmonisation. | 36,151 |
and validated real method synthetic using is images. vascular The | The method is validated using synthetic and real vascular images. | 36,152 |
and a tree), report recall. the we precision accuracy, and extraction | a tree), and we report the extraction accuracy, precision and recall. | 36,153 |
method representation a such representation. a using requires and reasoning formal a PSAW | PSAW requires a formal representation and a reasoning method using such a representation. | 36,154 |
MEBN developed. algorithms efficient been for reasoning Also, have | Also, efficient reasoning algorithms for MEBN have been developed. | 36,155 |
detection. object accurately This of formulation to while the hemorrhages us localize complexity bypassing allows | This formulation allows us to accurately localize hemorrhages while bypassing the complexity of object detection. | 36,156 |
also may medical segmentation apply These tasks. to other findings | These findings may also apply to other medical segmentation tasks. | 36,157 |
learning train. to data of for huge those is the key requirements processes One | One of the key requirements for those learning processes is huge data to train. | 36,158 |
pancreas variations. methods such failed with segmentation deal Previous to | Previous pancreas segmentation methods failed to deal with such variations. | 36,159 |
novel that automated fully segmentation. and We method segmentation propose localization pancreas a contains | We propose a fully automated pancreas segmentation method that contains novel localization and segmentation. | 36,160 |
include surrounding both global pancreas the organ and information. The features | The global features include both the pancreas and surrounding organ information. | 36,161 |
is After localization, pancreas segmentation probabilistic patient-specific atlas-based a performed. | After localization, a patient-specific probabilistic atlas-based pancreas segmentation is performed. | 36,162 |
dataset IvS million We face conduct LBL more with a on identities. than two | We conduct LBL on a IvS face dataset with more than two million identities. | 36,163 |
and behaviors information different Petri interesting very Nets for studying tool of systems. simulating is | Petri Nets is very interesting tool for studying and simulating different behaviors of information systems. | 36,164 |
these Image techniques solve retrieval to have problems. potential great | Image retrieval techniques have great potential to solve these problems. | 36,165 |
of It images. firearm and can be retrieval for used fine-grained recognition both | It can be used for both fine-grained recognition and retrieval of firearm images. | 36,166 |
by deal margin the We propose to double a unbalanced loss with loss. contrastive employing | We propose to deal with the unbalanced loss by employing a double margin contrastive loss. | 36,167 |
among the of methods. one standards most used compression lossy commonly is JPEG image | JPEG is one of the most commonly used standards among lossy image compression methods. | 36,168 |
new removal. that the artifact state-of-the-art for DMCNN of show task JPEG a sets Experiments | Experiments show that DMCNN sets a new state-of-the-art for the task of JPEG artifact removal. | 36,169 |
to deformations tracking during However, occurred observed large were colonoscope errors insertions. colon due | However, large tracking errors were observed due to colon deformations occurred during colonoscope insertions. | 36,170 |
estimation colon a deformation propose method. We | We propose a colon deformation estimation method. | 36,171 |
deformed used colon a is from estimate a This shape colonoscope method shape. to | This method is used to estimate a deformed colon shape from a colonoscope shape. | 36,172 |
use deformed shape. to colon the We forests a estimate regression algorithm | We use the regression forests algorithm to estimate a deformed colon shape. | 36,173 |
As a the utilized preliminary colon estimate method a phantom. of study, to we deformations | As a preliminary study, we utilized the method to estimate deformations of a colon phantom. | 36,174 |
shapes. method estimated experiments, In deformed colon the proposed correctly phantom our | In our experiments, the proposed method correctly estimated deformed colon phantom shapes. | 36,175 |
examples object variability. well for With standard large class, train each inter-class of datasets | With large examples of each object class, standard datasets train well for inter-class variability. | 36,176 |
available ratio altitude (SINR). All DSCs improve signal-to-interference-plus-noise adjust their the to | All DSCs adjust their altitude to improve the available signal-to-interference-plus-noise ratio (SINR). | 36,177 |
optimal The distribution field controls mean the illustrate corresponding DSCs. power of and simulations | The simulations illustrate the optimal power controls and corresponding mean field distribution of DSCs. | 36,178 |
a automating practice. improving very surgical step towards evaluation skills important Thus, is surgical | Thus, automating surgical skills evaluation is a very important step towards improving surgical practice. | 36,179 |
recognizing great challenging. techniques, face recognition under remains Despite unconstrained persons success settings the of | Despite the great success of face recognition techniques, recognizing persons under unconstrained settings remains challenging. | 36,180 |
and substantial occlusions unfavorable difficulties. cause lighting, like views, profile Issues can | Issues like profile views, unfavorable lighting, and occlusions can cause substantial difficulties. | 36,181 |
have e.g. this exploiting problem works Previous by tackle to context, the attempted | Previous works have attempted to tackle this problem by exploiting the context, e.g. | 36,182 |
combines skill-sets, differentiable. from forgetting, previous suffer does model and effectively Our not is fully | Our model effectively combines previous skill-sets, does not suffer from forgetting, and is fully differentiable. | 36,183 |
models approach presents learning This vehicles. novel autonomous for a for self-awareness paper | This paper presents a novel approach for learning self-awareness models for autonomous vehicles. | 36,184 |
as modalities. used case, perception the localization are presented In visual and | In the presented case, visual perception and localization are used as modalities. | 36,185 |
the a is make, task model, year Fine-grained vehicle vehicle. and of classifying of classification | Fine-grained vehicle classification is the task of classifying make, model, and year of a vehicle. | 36,186 |
case. of method proposed the show for Simulation optimality results a two-user the | Simulation results show the optimality of the proposed method for a two-user case. | 36,187 |
propose Bayesian a fields recursive RSS and time-varying method to crowdsourcing. by estimate We | We propose to estimate time-varying RSS fields by a recursive Bayesian method and crowdsourcing. | 36,188 |
parameters. present of also the estimated Cram\'er-Rao We Bayesian the (BCRB) bound | We also present the Bayesian Cram\'er-Rao bound (BCRB) of the estimated parameters. | 36,189 |
results experimental the synthetic we our on method of data Finally, illustrate with performance sets. | Finally, we illustrate the performance of our method with experimental results on synthetic data sets. | 36,190 |
With there is the security. of interchange growing increase a of data, in necessity | With the increase in interchange of data, there is a growing necessity of security. | 36,191 |
forms Copy technique widespread possible, Forgery CMF. Move one Among many is the of tampering | Among the many forms of tampering possible, one widespread technique is Copy Move Forgery CMF. | 36,192 |
effectiveness demonstrate and quantitative The results obtained of qualitative the algorithm. this | The qualitative and quantitative results obtained demonstrate the effectiveness of this algorithm. | 36,193 |
Navigating find target and is operator-dependent. anatomy through to required view tedious the plane | Navigating through target anatomy to find the required view plane is tedious and operator-dependent. | 36,194 |
proposed that on Experiments videos. show state-of-the-art benchmark trackers tracker our outperforms various | Experiments show that our proposed tracker outperforms state-of-the-art trackers on various benchmark videos. | 36,195 |
different real The environments conditions. in can proposed of method perform | The proposed method can perform in real environments of different conditions. | 36,196 |
approximation the the scheme Here, Euler-Maruyama standard is technique. | Here, the Euler-Maruyama scheme is the standard approximation technique. | 36,197 |
is computationally However, the MCMC method expensive. | However, the MCMC method is computationally expensive. | 36,198 |
remain and benefit it, the but accelerate higher-order unclear. specific implementation Using may approximations | Using higher-order approximations may accelerate it, but the specific implementation and benefit remain unclear. | 36,199 |
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