text stringlengths 27 153 | label stringlengths 27 153 | id int64 0 40k |
|---|---|---|
efficacy in in The attributes view acquisition. synaptic memory to changes neuroscience prevailing | The prevailing view in neuroscience attributes changes in synaptic efficacy to memory acquisition. | 38,100 |
view to stable This memories correspond implies connectivity stable that patterns. | This view implies that stable memories correspond to stable connectivity patterns. | 38,101 |
significant, activity-independent However, of to body an evidence increasing synaptic in dynamics strengths. experimental points | However, an increasing body of experimental evidence points to significant, activity-independent dynamics in synaptic strengths. | 38,102 |
memories more plasticity are imaginary-coded to noise Specifically, resilient and real-coded than their counterparts. homeostatic | Specifically, imaginary-coded memories are more resilient to noise and homeostatic plasticity than their real-coded counterparts. | 38,103 |
on complex In using networks. hierarchical work, neural natural more images focus this unsupervised we | In this work, we focus on more complex natural images using unsupervised hierarchical neural networks. | 38,104 |
problematic when in conditions. segmentation imaging outdoor is there of Semantic are variations scenes | Semantic segmentation of outdoor scenes is problematic when there are variations in imaging conditions. | 38,105 |
known is (reflectance) of that effects. albedo illumination to is invariant It all kinds | It is known that albedo (reflectance) is invariant to all kinds of illumination effects. | 38,106 |
images task be can Thus, segmentation reflectance using favorable. semantic for | Thus, using reflectance images for semantic segmentation task can be favorable. | 38,107 |
We of two those analyze the addressing gains jointly. problems | We analyze the gains of addressing those two problems jointly. | 38,108 |
single tasks. architectures cascade and new for segmentation-for-intrinsic as CNN proposed are intrinsic-for-segmentation Moreover, | Moreover, new cascade CNN architectures for intrinsic-for-segmentation and segmentation-for-intrinsic are proposed as single tasks. | 38,109 |
detail and these going statistical mathematical Here, the by through framework. we steps | Here, we detail these steps by going through the mathematical and statistical framework. | 38,110 |
understanding be We the can of explain it applied \beta-arrestin-dependent networks. to signaling how | We explain how it can be applied to the understanding of \beta-arrestin-dependent signaling networks. | 38,111 |
graph matches. cost Edges the of these the of represent | Edges of the graph represent the cost of these matches. | 38,112 |
is essential protocols for networks. and evaluation Channel in design modeling numerous performance of vehicular | Channel modeling is essential for design and performance evaluation of numerous protocols in vehicular networks. | 38,113 |
An performance ultra-wideband to optical in model estimate presented. analytical transmission networks nonlinear is | An analytical model to estimate nonlinear performance in ultra-wideband optical transmission networks is presented. | 38,114 |
to Sequential previously search neural for its architectures classification. capabilities demonstrated has find image state-of-the-art | Sequential search has previously demonstrated its capabilities to find state-of-the-art neural architectures for image classification. | 38,115 |
computational remains even computational under unreachable high, its modest cost settings. However, | However, its computational cost remains high, even unreachable under modest computational settings. | 38,116 |
weight-sharing Affording SMBO with problem. this alleviates | Affording SMBO with weight-sharing alleviates this problem. | 38,117 |
rank used is sampled to prediction directly the neural architectures. This | This prediction is directly used to rank the sampled neural architectures. | 38,118 |
is SEM problem, solve an mitigation this To described. scheme | To solve this problem, an SEM mitigation scheme is described. | 38,119 |
thus However, pilot accurate estimations, better can performance. more achieve the system | However, the pilot system can achieve more accurate estimations, thus better performance. | 38,120 |
intermediate an view, introduced large is view, gap. First, i.e., the homography to bridge | First, an intermediate view, i.e., homography view, is introduced to bridge the large gap. | 38,121 |
discussions its cases. studies some in robustness and reliability show challenging Ablation and | Ablation studies and discussions show its reliability and robustness in some challenging cases. | 38,122 |
brain lesion are for learning Deep used methods actively segmentation. | Deep learning methods are actively used for brain lesion segmentation. | 38,123 |
patch-sampling We new propose small increase lesions. procedure for performance a to network | We propose a new patch-sampling procedure to increase network performance for small lesions. | 38,124 |
show both solid cases. results The experimental in improvements | The experimental results show solid improvements in both cases. | 38,125 |
and feature has scalability learning engineering on issues. machine directly graphs, needs However, | However, machine learning directly on graphs, needs feature engineering and has scalability issues. | 38,126 |
proposes on based novel This image. paper image single method fusion a pseudo a multi-exposure | This paper proposes a novel pseudo multi-exposure image fusion method based on a single image. | 38,127 |
proposed enables The method pseudo from images to produce multi-exposure single us image. a | The proposed method enables us to produce pseudo multi-exposure images from a single image. | 38,128 |
conventional multi-exposure proposed to multi-exposure images. image Most methods applicable the are fusion also of | Most of conventional multi-exposure image fusion methods are also applicable to the proposed multi-exposure images. | 38,129 |
synthetic and Experiments the proposed both promising on performance the of validate architecture real datasets. | Experiments validate the promising performance of the proposed architecture on both synthetic and real datasets. | 38,130 |
method deconvolution we (FBD). call blind Hence the focused | Hence we call the method focused blind deconvolution (FBD). | 38,131 |
relaxed constraints The progress. iterations the focusing are as | The focusing constraints are relaxed as the iterations progress. | 38,132 |
Learning their classification more classification including power elaborate competes methods. Deep approaches Furthermore, with | Furthermore, their classification power competes with more elaborate classification approaches including Deep Learning methods. | 38,133 |
to methods. no evaluate However, the and endoscopy aforementioned compare objective criteria are there | However, there are no objective criteria to evaluate and compare the aforementioned endoscopy methods. | 38,134 |
consistent studies. is the observation clinical This with | This observation is consistent with the clinical studies. | 38,135 |
the effectiveness of proposed demonstrated. is the criterion Therefore, | Therefore, the effectiveness of the proposed criterion is demonstrated. | 38,136 |
features visual object-agnostic Therefore, models. we learning relationship generalizable more in are interested for | Therefore, we are interested in learning object-agnostic visual features for more generalizable relationship models. | 38,137 |
propose the novel strategy. \texttt{Shuffle-Then-Assemble} To pre-training alleviate a we bias, | To alleviate the bias, we propose a novel \texttt{Shuffle-Then-Assemble} pre-training strategy. | 38,138 |
will ecological to nonlinear biological parameters models an Identifiability consider. of be issue in | Identifiability of biological parameters in nonlinear ecological models will be an issue to consider. | 38,139 |
reconstruction a We propose (cGANs). direct conditional based on adversarial fingerprint model networks latent generative | We propose a direct latent fingerprint reconstruction model based on conditional generative adversarial networks (cGANs). | 38,140 |
been solver top ASP the of WASP. on has The approach implemented | The approach has been implemented on top of the ASP solver WASP. | 38,141 |
(TPLP). and of Under consideration Programming Logic Practice in Theory | Under consideration in Theory and Practice of Logic Programming (TPLP). | 38,142 |
Here discuss nature the of models network neuroscience. in we | Here we discuss the nature of network models in neuroscience. | 38,143 |
base artificial an Knowledge important (KB) intelligence. is aspect in | Knowledge base (KB) is an important aspect in artificial intelligence. | 38,144 |
bases and proposed approaches that efficiently results cleanse the Experimental effectively. knowledge the demonstrate could | Experimental results demonstrate that the proposed approaches could cleanse the knowledge bases efficiently and effectively. | 38,145 |
network architectures, attacks these weak transferability neural Additionally, e.g. across demonstrate cross-network | Additionally, these attacks demonstrate weak cross-network transferability across neural network architectures, e.g. | 38,146 |
the semantic of addresses dense problem work This scene under understanding fog. | This work addresses the problem of semantic scene understanding under dense fog. | 38,147 |
methods outdoor recognition weather conditions to Extending crucial such fog as for applications. is adverse | Extending recognition methods to adverse weather conditions such as fog is crucial for outdoor applications. | 38,148 |
The code and publicly are datasets available. | The datasets and code are publicly available. | 38,149 |
for to correct it difficult These radiologists render diagnostic artifacts make decisions. | These artifacts make it difficult for radiologists to render correct diagnostic decisions. | 38,150 |
videos This visual an in from learning unsupervised necessitates features setting. of | This necessitates learning of visual features from videos in an unsupervised setting. | 38,151 |
The following framework. also step in charts is unnecessary our packing | The following charts packing step is also unnecessary in our framework. | 38,152 |
more map efficient. technique the and practical normal makes is and robust Our method | Our method is practical and makes the normal map technique more robust and efficient. | 38,153 |
individual arrangement. their appears parts Structure typically of the and form in | Structure typically appears in the form of individual parts and their arrangement. | 38,154 |
incomplete information scans. structural templates and onto transfer objects new us the allow to The | The templates allow us to transfer the structural information onto new objects and incomplete scans. | 38,155 |
of other method state-of-the-art our showcase the We by comparing approaches. effectiveness it to | We showcase the effectiveness of our method by comparing it to other state-of-the-art approaches. | 38,156 |
Diverse utilized improve been information the auxiliary feature has visual learning. to | Diverse auxiliary information has been utilized to improve the visual feature learning. | 38,157 |
birth. induced within the When crest pups at die neural lineage, | When induced within the neural crest lineage, pups die at birth. | 38,158 |
derivatives crest appear the unaffected. Neural body in | Neural crest derivatives in the body appear unaffected. | 38,159 |
propagation may Its unmixing of in significant occurrence the the process. estimation to errors lead | Its occurrence may lead to the propagation of significant estimation errors in the unmixing process. | 38,160 |
a from present human avatar method novel for monocular We creation detail-preserving video. high | We present a novel method for high detail-preserving human avatar creation from monocular video. | 38,161 |
garment wrinkles, Our avatars clothes a high-resolution and texture. with face, hairstyle, feature natural | Our avatars feature a natural face, hairstyle, clothes with garment wrinkles, and high-resolution texture. | 38,162 |
the Numerous of results versatility robustness show method. our and | Numerous results show the robustness and versatility of our method. | 38,163 |
electroencephalography of important systems. the The is brain-computer component classifier based most interface | The electroencephalography classifier is the most important component of brain-computer interface based systems. | 38,164 |
it. of hindering are improvement problems the two There major | There are two major problems hindering the improvement of it. | 38,165 |
multimodal fully do methods not traditional First, exploit information. | First, traditional methods do not fully exploit multimodal information. | 38,166 |
learning two these we a transfer problems. propose novel solve deep to Herein, approach | Herein, we propose a novel deep transfer learning approach to solve these two problems. | 38,167 |
paper problem This of environments. addresses the head in crowded detection | This paper addresses the problem of head detection in crowded environments. | 38,168 |
pedestrian levels. the an method setting density with We in outdoor validate varying | We validate the method in an outdoor setting with varying pedestrian density levels. | 38,169 |
field. requires Semantic sizeable information receptive and segmentation both rich spatial | Semantic segmentation requires both rich spatial information and sizeable receptive field. | 38,170 |
address this (BiSeNet). In paper, novel Bilateral we Network this with a dilemma Segmentation | In this paper, we address this dilemma with a novel Bilateral Segmentation Network (BiSeNet). | 38,171 |
to others' shape affective Social may and empathy relations affective states. | Social and affective relations may shape empathy to others' affective states. | 38,172 |
stimuli could equally face identifiable. sizes that the of Results suggested two be | Results suggested that face stimuli of the two sizes could be equally identifiable. | 38,173 |
uncertainty quantification enable for random density. the normal Rogers-Szego inputs polynomials described by wrapped | Rogers-Szego polynomials enable uncertainty quantification for random inputs described by the wrapped normal density. | 38,174 |
Different been to methods MOD. have proposed of categories solve | Different categories of methods have been proposed to solve MOD. | 38,175 |
by is unsupervised stochastic descent end-to-end an Optimization in performed and gradient fashion. | Optimization is performed by stochastic gradient descent in an end-to-end and unsupervised fashion. | 38,176 |
Our modes. can work batch in online and both algorithm | Our algorithm can work in both batch and online modes. | 38,177 |
all uses like the other In optimizer methods, the images. batch batch mode, | In the batch mode, like other batch methods, optimizer uses all the images. | 38,178 |
into can In online fed be optimizer. mode, the images incrementally | In online mode, images can be incrementally fed into the optimizer. | 38,179 |
for relevant estimation. motion segmentation Moreover, and scene flow are occlusions | Moreover, occlusions are relevant for motion segmentation and scene flow estimation. | 38,180 |
estimated The state-of-the-art. the boundaries motion improve over and occlusions clearly | The estimated occlusions and motion boundaries clearly improve over the state-of-the-art. | 38,181 |
Merr.] [Glycine step max pod is Loss (L.) soybean a key of during dehiscence | Loss of pod dehiscence is a key step during soybean [Glycine max (L.) Merr.] | 38,182 |
Humidity the distribution shapes alleles. of indehiscent | Humidity shapes the distribution of indehiscent alleles. | 38,183 |
model the is for benchmark SALSA method. state-of-the-art the The applied dataset against challenging to | The model is applied to the challenging SALSA dataset for benchmark against the state-of-the-art method. | 38,184 |
particular this setting, outperforms presented the e.g. formulation in Our state-of-the-art significantly | Our presented formulation outperforms the state-of-the-art significantly in this particular setting, e.g. | 38,185 |
Such existing using correspondences. supervised datasets are truth with often derived ground on learning descriptors | Such descriptors are often derived using supervised learning on existing datasets with ground truth correspondences. | 38,186 |
prohibitive. usually datasets the is cost creating such However, of | However, the cost of creating such datasets is usually prohibitive. | 38,187 |
weakly Our is supervised aligned. because be need images method to roughly input currently the | Our method is currently weakly supervised because the input images need to be roughly aligned. | 38,188 |
also images. method We on our RGB evaluated | We also evaluated our method on RGB images. | 38,189 |
is cluster and each Challenging respectively. firstly, of landmarks optimized are focused further landmarks | Challenging landmarks are focused firstly, and each cluster of landmarks is further optimized respectively. | 38,190 |
main compare the biological of to algorithmic paper search techniques sequences. The and surveys evolution | The paper surveys the evolution of main algorithmic techniques to compare and search biological sequences. | 38,191 |
replace discuss alignment-based expansion coming in to algorithms alignment-free We of analyses. techniques large-scale the | We discuss the expansion of alignment-free techniques coming to replace alignment-based algorithms in large-scale analyses. | 38,192 |
challenges. on genomics Finally, algorithmic focus associated the outline and to transition population we | Finally, we focus on the transition to population genomics and outline associated algorithmic challenges. | 38,193 |
datasets. viewpoint estimation enables iSPA-Net This on state-of-the-art real image to achieve performance various | This enables iSPA-Net to achieve state-of-the-art performance on various real image viewpoint estimation datasets. | 38,194 |
multiple of effectiveness the applications. demonstrate we for Further, approach | Further, we demonstrate effectiveness of the approach for multiple applications. | 38,195 |
codes proposed algorithm. To the encourage reproducible research, for our released we have | To encourage reproducible research, we have released the codes for our proposed algorithm. | 38,196 |
limits or using performance reconstruction usually approach alone applications. However, recovery image either in | However, using either approach alone usually limits performance in image reconstruction or recovery applications. | 38,197 |
promising competing state-of-the-art to performance methods. Results compared show | Results show promising performance compared to state-of-the-art competing methods. | 38,198 |
effective phase information to and % retrieval. phase the missing compensate achieve for | % to compensate for the missing phase information and achieve effective phase retrieval. | 38,199 |
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