text stringlengths 27 153 | label stringlengths 27 153 | id int64 0 40k |
|---|---|---|
The FRI accuracy method tested. the of is | The accuracy of the FRI method is tested. | 12,100 |
of aFRI the and domain demonstrate FRI application protein Finally, we analysis. to | Finally, we demonstrate the application of FRI and aFRI to protein domain analysis. | 12,101 |
images. to transform applied is distorted reference and This both | This transform is applied to both reference and distorted images. | 12,102 |
information graphical of individuality in consider theoretic and terms principles. We biological | We consider biological individuality in terms of information theoretic and graphical principles. | 12,103 |
Our boundaries is decomposition an system-environment supporting algorithmic purpose extract individuality. to through | Our purpose is to extract through an algorithmic decomposition system-environment boundaries supporting individuality. | 12,104 |
than that exist. assume infer they individuals or detect evolved We rather | We infer or detect evolved individuals rather than assume that they exist. | 12,105 |
structural introduced reviewed. of by equations, Halpern definition Pearl, which causality and uses A is | A definition of causality introduced by Halpern and Pearl, which uses structural equations, is reviewed. | 12,106 |
takes into account of an epistemic state. blame agent's Degree | Degree of blame takes into account an agent's epistemic state. | 12,107 |
Wright's compared structural-equations the test. Finally, definition of causality NESS is to | Finally, the structural-equations definition of causality is compared to Wright's NESS test. | 12,108 |
in often is retical a to theo- hard observation The noise treat analysis. | The noise observation is often hard to treat in a theo- retical analysis. | 12,109 |
exploitation, arbitration mechanism between utilizes that it an i.e. balances Additionally, | Additionally, it utilizes an arbitration mechanism that balances between exploitation, i.e. | 12,110 |
of sequencing cytosine Bisulphite the Motivation: detection methylation. enables | Motivation: Bisulphite sequencing enables the detection of cytosine methylation. | 12,111 |
indicates fluctuations. analysis an oscillatory on statistical clearly Our dependence rainfall of levels EPG | Our statistical analysis clearly indicates an oscillatory dependence of EPG levels on rainfall fluctuations. | 12,112 |
smaller practice. and in this more model is preferable achieves a complexity However, | However, this model achieves a smaller complexity and is more preferable in practice. | 12,113 |
framework for linear semiparametric inferential models. dimensional ratio generalized likelihood We based a high propose | We propose a likelihood ratio based inferential framework for high dimensional semiparametric generalized linear models. | 12,114 |
likelihood. post-regularization is inferential on based novel approach a existing Unlike directional methods, our | Unlike existing post-regularization inferential methods, our approach is based on a novel directional likelihood. | 12,115 |
proposed illustrate provided approach. and to our simulation analysis are data studies Extensive real | Extensive simulation studies and real data analysis are provided to illustrate our proposed approach. | 12,116 |
whith feedback neuron is considered. A delayed binding (BN) | A binding neuron (BN) whith delayed feedback is considered. | 12,117 |
The with neuron externally $\lambda$. stream intensity Poisson a of is fed | The neuron is fed externally with a Poisson stream of intensity $\lambda$. | 12,118 |
$\Delta$. into are input fed neuron's delay its spikes time output with The | The neuron's output spikes are fed into its input with time delay $\Delta$. | 12,119 |
can presence firing is radically output feedback alter neuronal concluded that statistics. It delayed | It is concluded that delayed feedback presence can radically alter neuronal output firing statistics. | 12,120 |
factor variation to background. is image One cluttered the within-class contributing | One contributing factor to the within-class variation is cluttered image background. | 12,121 |
notions the by extended of Halpern and definition introducing Chockler blame. of causality responsibility and | Chockler and Halpern extended the definition of causality by introducing notions of responsibility and blame. | 12,122 |
This comes benefit, high a computational cost. typically however, at | This benefit, however, typically comes at a high computational cost. | 12,123 |
we have In aims. writing this survey, three distinct | In writing this survey, we have three distinct aims. | 12,124 |
of homomorphisms We study graphs. connectome to propose | We propose to study homomorphisms of connectome graphs. | 12,125 |
some connectome results for are computation described. graphs Initial | Initial computation results for some connectome graphs are described. | 12,126 |
we additional can the variables, By disambiguate adding stories. | By adding additional variables, we can disambiguate the stories. | 12,127 |
is Bayesian for inference automatic with Biips systems. interacting particle a software platform | Biips is a software platform for automatic Bayesian inference with interacting particle systems. | 12,128 |
with Octave. the softwares developed interfaces software C++ with in R, is The and Matlab | The software is developed in C++ with interfaces with the softwares R, Matlab and Octave. | 12,129 |
a systems. step general most requirement is inventive law or patentability Non-obviousness patent for in | Non-obviousness or inventive step is a general requirement for patentability in most patent law systems. | 12,130 |
it operator to contraction this define possible the makes thanks a Moreover, identity. Harper to | Moreover, this makes it possible to define a contraction operator thanks to the Harper identity. | 12,131 |
standard filters particle dimensions, high (e.g. However, in | However, in high dimensions, standard particle filters (e.g. | 12,132 |
analytically illustrate i.i.d. of a a simple We for this model | We illustrate this analytically for a model of a simple i.i.d. | 12,133 |
Similar general expected structure more hold, a results are the i.i.d.~one. under to than | Similar results are expected to hold, under a more general structure than the i.i.d.~one. | 12,134 |
models structures. numerical of by complex simulations supported practical on Our are results also theoretical | Our theoretical results are also supported by numerical simulations on practical models of complex structures. | 12,135 |
the How smart on house, are in kitchen, things neighborhood, your your internet? your | How smart are things in your kitchen, your house, your neighborhood, on the internet? | 12,136 |
through way the The standard evaluating Turing Test. is AI of | The standard way of evaluating AI is through the Turing Test. | 12,137 |
systems evaluation Ideally, these specifically would measures. our be tuned to | Ideally, our systems would be tuned specifically to these evaluation measures. | 12,138 |
in task Image is registration imaging. the medical a of world challenging | Image registration is a challenging task in the world of medical imaging. | 12,139 |
variety role of a plays central conditions. accurate edge clinical a registration in Particularly, | Particularly, accurate edge registration plays a central role in a variety of clinical conditions. | 12,140 |
this edge appears accurate less to method However, registration. regarding be | However, this method appears to be less accurate regarding edge registration. | 12,141 |
Possibilistic is Adaptive clustering possibilistic novel this paper c-means, called presented. In a c-means algorithm, | In this paper a novel possibilistic c-means clustering algorithm, called Adaptive Possibilistic c-means, is presented. | 12,142 |
algorithm indicative convergence of results behavior provided. the also are are Theoretical the of that | Theoretical results that are indicative of the convergence behavior of the algorithm are also provided. | 12,143 |
detection algorithms characterize and road road level at areas accordingly. group Current pixels pixel | Current road detection algorithms characterize road areas at pixel level and group pixels accordingly. | 12,144 |
algorithms and variations. presence in of fail However, shadows lighting these strong | However, these algorithms fail in presence of strong shadows and lighting variations. | 12,145 |
alignment. on detection a video propose we based road algorithm Therefore, | Therefore, we propose a road detection algorithm based on video alignment. | 12,146 |
aims road The former detection. on-line perform to | The former aims to perform on-line road detection. | 12,147 |
algorithm that valid detection the quantitative and Qualitative is prove evaluations approach. a proposed road | Qualitative and quantitative evaluations prove that the proposed algorithm is a valid road detection approach. | 12,148 |
allows framework practice. clinical model use This in for direct of NTCP a the | This framework allows for a direct use of the NTCP model in clinical practice. | 12,149 |
not problems. related but We optimization do solve, formulate, | We formulate, but do not solve, related optimization problems. | 12,150 |
seeded an for cellular image is algorithm paper, In this segmentation. growing proposed region automatic | In this paper, an automatic seeded region growing algorithm is proposed for cellular image segmentation. | 12,151 |
image. interest extracted of regions (ROIs) the First, from the preprocessed | First, the regions of interest (ROIs) extracted from the preprocessed image. | 12,152 |
selected seeds ROIs from the based extracted initial are Second, on image. automatically the | Second, the initial seeds are automatically selected based on ROIs extracted from the image. | 12,153 |
Third, machine the selected using learning most reprehensive algorithm. are a seeds | Third, the most reprehensive seeds are selected using a machine learning algorithm. | 12,154 |
Finally, the corresponds into cellular seed. image regions a is region to each where segmented | Finally, the cellular image is segmented into regions where each region corresponds to a seed. | 12,155 |
is programming the approach. on A problem quadratic method based box-constrained of solving new | A method of solving the new problem is based on box-constrained quadratic programming approach. | 12,156 |
is forces. search by two Our strategy guided | Our search strategy is guided by two forces. | 12,157 |
jump (e.g. to in enables image This regions distant the across | This enables to jump across distant regions in the image (e.g. | 12,158 |
publications number the (OCR). large are Character available Recognition Optical A of for | A large number of publications are available for the Optical Character Recognition (OCR). | 12,159 |
articles researches, as Latin, for as well are Japanese Chinese the and scripts. present Significant | Significant researches, as well as articles are present for the Latin, Chinese and Japanese scripts. | 12,160 |
Arabic OCR one perspective. also is script of from mature script | Arabic script is also one of mature script from OCR perspective. | 12,161 |
methods researchers are used process OCR by techniques presented. and various | OCR process techniques and methods used by various researchers are presented. | 12,162 |
last for discussed. is The also dedicated is and conclusion section future work | The last section is dedicated for future work and conclusion is also discussed. | 12,163 |
classification. designed However, originally forward backward propagation was for and whole-image | However, forward and backward propagation was originally designed for whole-image classification. | 12,164 |
the patch-by-patch It scanning. exactly as same results those by generates | It generates exactly the same results as those by patch-by-patch scanning. | 12,165 |
the speedup The sizes increases of and with patches. images | The speedup increases with the sizes of images and patches. | 12,166 |
popular Positive (SPD) Definite become matrices information. Symmetric have encode image to | Symmetric Positive Definite (SPD) matrices have become popular to encode image information. | 12,167 |
useful of need of is analyze the development, information the increasing. technology With extraction and | With the technology development, the need of analyze and extraction of useful information is increasing. | 12,168 |
this rules To extract Bayesian algorithm. genetic problem network from overcome we using | To overcome this problem we extract rules from Bayesian network using genetic algorithm. | 12,169 |
and the the network. matching graphical generate extracted chain we rules Bayesian by mutually Then | Then we generate the graphical chain by mutually matching the extracted rules and Bayesian network. | 12,170 |
of presents neutrosophic information. The representation steps for multi-valued paper some | The paper presents some steps for multi-valued representation of neutrosophic information. | 12,171 |
net score. was addition, defined definedness neutrosophic it and truth, In | In addition, it was defined net truth, definedness and neutrosophic score. | 12,172 |
explores the the advances digital field document report latest recognition. This in of | This report explores the latest advances in the field of digital document recognition. | 12,173 |
we document recognition. for hand-written discuss review addition, the technologies and available In | In addition, we review and discuss the available technologies for hand-written document recognition. | 12,174 |
some benchmark provide this engines. company-accumulated also results available OCR we In report, on | In this report, we also provide some company-accumulated benchmark results on available OCR engines. | 12,175 |
algorithms of also certain Besides, global proposed under convergence the conditions. investigate we the | Besides, we also investigate the global convergence of the proposed algorithms under certain conditions. | 12,176 |
and is assessment aesthetic analysis study of images. Aesthetic of properties the image the | Aesthetic image analysis is the study and assessment of the aesthetic properties of images. | 12,177 |
either or analysis computational results. to aesthetic image approaches Current provide interpretable accurate | Current computational approaches to aesthetic image analysis either provide accurate or interpretable results. | 12,178 |
computer increasingly vision. methods on Riemannian manifolds in popular become have Kernel recently | Kernel methods on Riemannian manifolds have recently become increasingly popular in computer vision. | 12,179 |
definite of known positive very However, kernels remain on number limited. the manifolds | However, the number of known positive definite kernels on manifolds remain very limited. | 12,180 |
kernel, A drop-off. of value, poor choice yield or performance of significant may parameter | A poor choice of kernel, or of parameter value, may yield significant performance drop-off. | 12,181 |
optimize is the trained loss PASCAL to Importantly, function. corpus-level specifically SegNet IOU | Importantly, SegNet is specifically trained to optimize the corpus-level PASCAL IOU loss function. | 12,182 |
activity synchrony index A cross-correlation proposed. new for is neural | A new cross-correlation synchrony index for neural activity is proposed. | 12,183 |
on function. the estimation the integration cross-correlation kernel of the The index based is of | The index is based on the integration of the kernel estimation of the cross-correlation function. | 12,184 |
approximate Two of proposed distribution are the resampling statistics. the bootstrap plans to test | Two bootstrap resampling plans are proposed to approximate the distribution of the test statistics. | 12,185 |
new of as present a mixture represents model simplices. data a We which | We present a new model which represents data as a mixture of simplices. | 12,186 |
that are geometric generalize triangles. Simplices structures | Simplices are geometric structures that generalize triangles. | 12,187 |
We a give to structure us understanding learn a geometric simple efficiently. simplicial allows that | We give a simple geometric understanding that allows us to learn a simplicial structure efficiently. | 12,188 |
which data sources. modeling of dimensions, can different Simplices inhomogeneous have facilitates | Simplices can have different dimensions, which facilitates modeling of inhomogeneous data sources. | 12,189 |
reconstruction provides method regularization. The good and | The method provides good reconstruction and regularization. | 12,190 |
models neighbor supports good constructed. to be nearest classification and It allows realistic it generative | It supports good nearest neighbor classification and it allows realistic generative models to be constructed. | 12,191 |
data become has multiple analysis. an task modalities in datasets Matching important of | Matching datasets of multiple modalities has become an important task in data analysis. | 12,192 |
joint a Specifically, all for is built modalities. nearest-neighbor graph | Specifically, a joint nearest-neighbor graph is built for all modalities. | 12,193 |
economical is today, In of life. human an aspect using cash of inseparable societies | In economical societies of today, using cash is an inseparable aspect of human life. | 12,194 |
for use cashes marketing, services, People entertainments, and on. so operations bank | People use cashes for marketing, services, entertainments, bank operations and so on. | 12,195 |
this new processing. paper, for image a model propose mathematical we In | In this paper, we propose a new mathematical model for image processing. | 12,196 |
<x>. two and scalar operations: we real <+> Firstly, define multiplication addition | Firstly, we define two operations: addition <+> and real scalar multiplication <x>. | 12,197 |
gray real the With of levels vector space. becomes operations, these a set | With these operations, the set of gray levels becomes a real vector space. | 12,198 |
an of gray obtain Euclidean the space ||, levels. we | ||, we obtain an Euclidean space of the gray levels. | 12,199 |
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