text stringlengths 27 153 | label stringlengths 27 153 | id int64 0 40k |
|---|---|---|
A both and coarse-to-fine segmentation approach of structures. smooth accurate ensures a | A coarse-to-fine approach ensures a smooth and accurate segmentation of both structures. | 13,200 |
segmentation A performed to structures. snake-based is of the segmentation both refine | A snake-based segmentation is performed to refine the segmentation of both structures. | 13,201 |
logical ability reasoning cognition with of Higher-level and common sense. answering includes question the | Higher-level cognition includes logical reasoning and the ability of question answering with common sense. | 13,202 |
specificity, and deontic model normative reasoning, construction. logic, | specificity, deontic logic, normative reasoning, and model construction. | 13,203 |
obtained are mass, concentration missing inequalities i.e. Novel the for | Novel concentration inequalities are obtained for the missing mass, i.e. | 13,204 |
sample. mass not observed total the of the probability outcomes the in | the total probability mass of the outcomes not observed in the sample. | 13,205 |
The converted colored gray algorithm been processes without to scale. images developed directly | The developed algorithm processes colored images directly without been converted to gray scale. | 13,206 |
The evolution two mutation of selection. and are classical forces | The two classical forces of evolution are mutation and selection. | 13,207 |
mutation interactions also allow Rather rates. epistatic to we affect | Rather we allow epistatic interactions to also affect mutation rates. | 13,208 |
dynamics. can lead This qualitatively non-trivial to | This can lead to qualitatively non-trivial dynamics. | 13,209 |
valleys are negligible overcome fitness accessible. become in SSWM-regime, Pathways, can the that and | Pathways, that are negligible in the SSWM-regime, can overcome fitness valleys and become accessible. | 13,210 |
found between and were Various chromosomes both non-random within genome, chromosomes. associations the across | Various non-random associations were found across the genome, both within chromosomes and between chromosomes. | 13,211 |
That and recognize to animation to why, is characters. develop need we detect method a | That is why, we need to develop a method to detect and recognize animation characters. | 13,212 |
important steps one most the is Skin this detection way. in of | Skin detection is one of the most important steps in this way. | 13,213 |
leather, etc. example hair other (for shirt, Moreover, things many | Moreover, many other things (for example leather, shirt, hair etc. | 13,214 |
similar skin, which are color have ), skin. can to not | ), which are not skin, can have color similar to skin. | 13,215 |
relations. on values based Our RGB their comparative are methods and | Our methods are based on RGB values and their comparative relations. | 13,216 |
strategies. species exhibit two fighting The different considered | The two considered species exhibit different fighting strategies. | 13,217 |
experiments fluctuations a observed in model algorithm. by Gillespie of We means the standard the | We model the fluctuations observed in the experiments by means of a standard Gillespie algorithm. | 13,218 |
make steps implementations of available. We these also publicly preprocessing | We make implementations of these preprocessing steps also publicly available. | 13,219 |
of important is Estimation imaging. dynamic response medical in task an functions | Estimation of response functions is an important task in dynamic medical imaging. | 13,220 |
estimated source the response and deconvolution. are Therefore, separation functions blind via | Therefore, the response functions are estimated via blind source separation and deconvolution. | 13,221 |
response the used heavily Performance depends the this functions. of algorithm of models on | Performance of this algorithm heavily depends on the used models of the response functions. | 13,222 |
of In using functions Bayesian this we priors. non-parametric study paper, the response estimation | In this paper, we study estimation of the response functions using non-parametric Bayesian priors. | 13,223 |
source within used These hierarchical deconvolution priors blind are the of assumptions algorithm. separation and | These assumptions are used within hierarchical priors of the blind source separation and deconvolution algorithm. | 13,224 |
that of estimation both is response priors shown flexible It improve in functions non-parametric cases. | It is shown that flexible non-parametric priors improve estimation of response functions in both cases. | 13,225 |
freely resulting for of algorithms download. MATLAB is implementation the available | MATLAB implementation of the resulting algorithms is freely available for download. | 13,226 |
an the in All framework's of to fashion. pipeline automatic be designed stages used are | All stages of the framework's pipeline are designed to be used in an automatic fashion. | 13,227 |
First, the focus selected gradient optimal using the is method. absolute | First, the optimal focus is selected using the absolute gradient method. | 13,228 |
a model style line the flexible data. of for streamline visualization illustrative present We | We present a flexible illustrative line style model for the visualization of streamline data. | 13,229 |
way generic add There system. to to is any feature a new a | There is a generic way to add any new feature to a system. | 13,230 |
a yield non-intuitive is or and may brute-force method a meaningful This result. | This is a brute-force method and may yield a non-intuitive or meaningful result. | 13,231 |
on translate. we we depends get Of how what course | Of course what we get depends on how we translate. | 13,232 |
is methodology conclusion. general Our the in in discussed | Our methodology in general is discussed in the conclusion. | 13,233 |
exhibit chain pseudo-marginal towards its mixing target. and However, Markov the can convergence poor slow | However, the pseudo-marginal Markov chain can exhibit poor mixing and slow convergence towards its target. | 13,234 |
article w.r.t. expectations we In the approximation consider of this | In this article we consider the approximation of expectations w.r.t. | 13,235 |
i.i.d. In problems practical an of one many cannot interest, achieve | In many practical problems of interest, one cannot achieve an i.i.d. | 13,236 |
the associated sequence sampling probability of distributions. of | sampling of the associated sequence of probability distributions. | 13,237 |
positive-definite (SPDMs). of symmetric, matrices set the | the set of symmetric, positive-definite matrices (SPDMs). | 13,238 |
execution requires one invariant rates, classes trajectories. Since metrics to action for comparing rate-invariant are | Since action classes are invariant to execution rates, one requires rate-invariant metrics for comparing trajectories. | 13,239 |
of trajectories re-parameterization. comparison invariant to the This their resulting makes | This makes the resulting comparison of trajectories invariant to their re-parameterization. | 13,240 |
results literature. than or achieve comparable to either current we both the cases In better | In both cases we achieve results either comparable to or better than the current literature. | 13,241 |
nature. throughout Territoriality phenomenon is exhibited a | Territoriality is a phenomenon exhibited throughout nature. | 13,242 |
to has mathematical relied area. are upon animals attracted central assuming Previous analysis a | Previous mathematical analysis has relied upon assuming animals are attracted to a central area. | 13,243 |
intrinsic same of object low-dimensional spaces the in images on manifolds lie Multi-view (e.g. descriptor | Multi-view images of the same object lie on intrinsic low-dimensional manifolds in descriptor spaces (e.g. | 13,244 |
topology the manifolds These same geometrically share object despite being different. | These object manifolds share the same topology despite being geometrically different. | 13,245 |
be manifold of version represented manifold. unified Each deformed a can a object as | Each object manifold can be represented as a deformed version of a unified manifold. | 13,246 |
be its by manifold. unified mapping/reconstruction object manifolds homeomorphic from the thus The can parameterized | The object manifolds can thus be parameterized by its homeomorphic mapping/reconstruction from the unified manifold. | 13,247 |
We several achieve experiments extensive on and perform datasets results. state-of-the-art challenging | We perform extensive experiments on several challenging datasets and achieve state-of-the-art results. | 13,248 |
feature, a markings For to Lane this edge robust purpose Laplacian detected are using shadowing. | For this purpose Lane markings are detected using a Laplacian edge feature, robust to shadowing. | 13,249 |
to fitted and model are parabolic assumed robust be using Lanes as RANSAC. | Lanes are assumed to be as parabolic model and fitted using robust RANSAC. | 13,250 |
recently We mechanism. as on an theory interpretation Misrepair-accumulation introduced aging | We recently introduced Misrepair-accumulation theory as an interpretation on aging mechanism. | 13,251 |
these to covariance construct convolutions. model and coregionalization process of Alternatives functions are linear the | Alternatives to construct these covariance functions are the linear model of coregionalization and process convolutions. | 13,252 |
play very driving a and avoiding vital signs accident. safe in Traffic role | Traffic signs play a very vital role in safe driving and avoiding accident. | 13,253 |
improved is Our classification accuracy. sign and shape algorithm two parts, of consist classification for | Our algorithm is consist of two parts, shape classification and sign classification for improved accuracy. | 13,254 |
prevalent vision. computer become have Superpixels in | Superpixels have become prevalent in computer vision. | 13,255 |
have superpixels Markov random with field also models. combined People (MRF) | People have also combined superpixels with Markov random field (MRF) models. | 13,256 |
resultant superpixel-level for submodular MRF. energy pixel-level also remains a The submodular MRF | The resultant superpixel-level MRF energy also remains submodular for a submodular pixel-level MRF. | 13,257 |
hence in way a to formulate MRF energy gives superpixel-level. handy The derived formula us | The derived formula hence gives us a handy way to formulate MRF energy in superpixel-level. | 13,258 |
the vision we In our the computer demonstrate approach of experiments, efficacy on problems. several | In the experiments, we demonstrate the efficacy of our approach on several computer vision problems. | 13,259 |
to the variances. of is enigmatic structural revealed the be previously covariance Furthermore, difference | Furthermore, the previously enigmatic structural covariance is revealed to be the difference of variances. | 13,260 |
Dissimilarity the We anti/symmetric specifically term for SSIM (DQ) the derived Quotient use NVF. | We use the term Dissimilarity Quotient (DQ) for the specifically anti/symmetric SSIM derived NVF. | 13,261 |
is mechanism of intentionality The shared evolution the unknown. behind | The mechanism behind the evolution of shared intentionality is unknown. | 13,262 |
results the new evolution shed Our collaborative light on of behaviours. | Our results shed new light on the evolution of collaborative behaviours. | 13,263 |
increases An. senescence with magnitude The of | The magnitude of senescence increases with An. | 13,264 |
implying mosquitoes can cohorts gambiae exhibit senescence. before that wild long strong lifespan, die | gambiae lifespan, implying that wild mosquitoes die long before cohorts can exhibit strong senescence. | 13,265 |
reviewed studies published spp. available Anopheles We of mortality | We reviewed available published mortality studies of Anopheles spp. | 13,266 |
prediction aging fundamental populations. confirm this in wild to of | to confirm this fundamental prediction of aging in wild populations. | 13,267 |
or functions. statistics experimentally identified states power-law through are sometimes universal scaling Critical | Critical states are sometimes identified experimentally through power-law statistics or universal scaling functions. | 13,268 |
these macroscopically. large-scale that universal features when rather considered are We networks suggest of | We rather suggest that these are universal features of large-scale networks when considered macroscopically. | 13,269 |
put the laws found of These in results caution scaling interpretation on nature. | These results put caution on the interpretation of scaling laws found in nature. | 13,270 |
concepts of and This note revisits difficulty. the task | This note revisits the concepts of task and difficulty. | 13,271 |
notion introduce asynchronous-time of stochastic tasks. We a | We introduce a notion of asynchronous-time stochastic tasks. | 13,272 |
modification of images reconstruction. TwIST Compressive Sensing paper MRI the algorithm for This presents | This paper presents modification of the TwIST algorithm for Compressive Sensing MRI images reconstruction. | 13,273 |
in of Sensing the importance. found application Compressive imaging The has great biomedical | The application of the Compressive Sensing in biomedical imaging has found great importance. | 13,274 |
It the Total based is on Variation minimization. | It is based on the Total Variation minimization. | 13,275 |
different different tested. coefficients selection domains In paper, are masks for this and transformation | In this paper, different masks and different transformation domains for coefficients selection are tested. | 13,276 |
The theory experimental with results. is proved | The theory is proved with experimental results. | 13,277 |
the preserving its while filters preserve image. Edge blurring an and edges information | Edge preserving filters preserve the edges and its information while blurring an image. | 13,278 |
etc. diffusion filter, Examples anisotropic guided filter bilateral filter, are trilateral filter, | Examples are bilateral filter, anisotropic diffusion filter, guided filter, trilateral filter etc. | 13,279 |
during clear these not are It the is also network how development. formed patterns | It is also not clear how these patterns are formed during the network development. | 13,280 |
a function which score introduce curve. surrogate We parametric an using the integral model, approximates | We introduce a parametric surrogate model, which approximates the score function using an integral curve. | 13,281 |
as known likelihood, of model heteroskedasticity properties and incorporates Our such the surrogate critical temperature. | Our surrogate model incorporates known properties of the likelihood, such as heteroskedasticity and critical temperature. | 13,282 |
available algorithm open source "bayesImageS." of package is our the R implementation in An | An open source implementation of our algorithm is available in the R package "bayesImageS." | 13,283 |
of life huge Speciation Earth. to is the on diversity fundamental | Speciation is fundamental to the huge diversity of life on Earth. | 13,284 |
address not in this does regime. weak important theory mutation Current dependence the | Current theory does not address this dependence in the important weak mutation regime. | 13,285 |
the Hausdorff almost In an distribution. uniform averaged particular, prefers indicator | In particular, the averaged Hausdorff indicator prefers an almost uniform distribution. | 13,286 |
above paper, for described forward the extracting we strategy put In subset. a this | In this paper, we put forward a strategy for extracting the above described subset. | 13,287 |
(CRF) applied in have widely segmentations. Rields Conditional been Random image | Conditional Random Rields (CRF) have been widely applied in image segmentations. | 13,288 |
Then structured machine vector using a the (SSVM). parameters learnt CRF are support | Then the CRF parameters are learnt using a structured support vector machine (SSVM). | 13,289 |
of segmentation binary on demonstrate experiments multi-class the promise the proposed method. and benchmarks Extensive | Extensive experiments on binary and multi-class segmentation benchmarks demonstrate the promise of the proposed method. | 13,290 |
Theoretical empirical confirmed of result. plausibility modeling this the | Theoretical modeling confirmed the plausibility of this empirical result. | 13,291 |
over to Pose that Boosting. a Trained ensemble Index Feature, regressor is is CPR similar | Trained over Pose Index Feature, CPR is a regressor ensemble that is similar to Boosting. | 13,292 |
paper Network. can how show CPR be Neural represented a In we this as | In this paper we show how CPR can be represented as a Neural Network. | 13,293 |
BP global outperforms with (pre-)training. that training We show layer-wise empirically | We empirically show that global training with BP outperforms layer-wise (pre-)training. | 13,294 |
full We length of methods capable videos. propose handling two | We propose two methods capable of handling full length videos. | 13,295 |
models an frames. second ordered proposed of explicitly The video sequence as method the | The second proposed method explicitly models the video as an ordered sequence of frames. | 13,296 |
these All interactive. but were factors highly significant | All these factors were significant but highly interactive. | 13,297 |
likelihood via The is estimation maximum EM-algorithm a procedure presented. | The maximum likelihood estimation procedure via a EM-algorithm is presented. | 13,298 |
Computation Monte likelihood-free are methods. Carlo Approximate Bayesian (ABC) | Approximate Bayesian Computation (ABC) are likelihood-free Monte Carlo methods. | 13,299 |
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