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address particle is this problem, this TASEP discussed in with species two To study.
To address this problem, TASEP with two particle species is discussed in this study.
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each to get species methods Theoretical densities particle are provided. of
Theoretical methods to get densities of each particle species are provided.
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are phase related transition particle Using methods, of properties obtained. these densities
Using these methods, phase transition related properties of particle densities are obtained.
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diagrams parameters for presented. are typical also Phase model
Phase diagrams for typical model parameters are also presented.
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the The of models. digestion the complex development complexity has anaerobic of motivated process
The complexity of the anaerobic digestion process has motivated the development of complex models.
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it emergent intractable stability However, and complexity to makes pin-point this behaviour.
However, this complexity makes it intractable to pin-point stability and emergent behaviour.
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Anaerobic Model No. widely Here, used Digestion the
Here, the widely used Anaerobic Digestion Model No.
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stable were degradation, always non-oscillatory. and chlorophenol Parameterised phenol and steady-states for
Parameterised for phenol and chlorophenol degradation, steady-states were always stable and non-oscillatory.
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Monte samples property chain This distribution posterior Carlo from (MCMC) non-identifiable. makes Markov the simulated
This property makes Markov chain Monte Carlo (MCMC) samples simulated from the posterior distribution non-identifiable.
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\pkg{label.switching} this paper, is the package In introduced.
In this paper, the \pkg{label.switching} package is introduced.
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using the can reordered parametric be of sample. inferred interest Then, any function MCMC
Then, any parametric function of interest can be inferred using the reordered MCMC sample.
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Obstacle role (USV). plays important unmanned surface vehicles in detection an
Obstacle detection plays an important role in unmanned surface vehicles (USV).
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of by the This constrained unsupervised paper problem segmentation. online addresses detection
This paper addresses the problem of online detection by constrained unsupervised segmentation.
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of for segmentation. histogram-based about the distances is regularized optimal-transport convex, This use work image
This work is about the use of regularized optimal-transport distances for convex, histogram-based image segmentation.
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for documents shredding is several the damaged reasons, reason hands. Out of main by getting
Out of several reasons, the main reason for documents getting damaged is shredding by hands.
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recovery is and time tedious such damaged consuming task. of Manual document
Manual recovery of such damaged document is tedious and time consuming task.
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a technique using simple order to we this, In called Image are Mosaicing. implement
In order to implement this, we are using a simple technique called Image Mosaicing.
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new is complete image torn technique a using this developed fragments. or In more two
In this technique a complete new image is developed using two or more torn fragments.
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useful facial information can provide expressions. for recognizing features Temporal
Temporal information can provide useful features for recognizing facial expressions.
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effort. a However, design useful of manually lot to requires features
However, to manually design useful features requires a lot of effort.
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different on Our two deep models. network based is
Our deep network is based on two different models.
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with several other. we each Through showed that experiments, two models cooperate the
Through several experiments, we showed that the two models cooperate with each other.
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discriminative space. into of the It a data special case the transforming/projecting subsumes
It subsumes the special case of transforming/projecting the data into a discriminative space.
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paper facial state-of-the-art expression In recognition. two this person-independent descriptors we for propose
In this paper we propose two state-of-the-art descriptors for person-independent facial expression recognition.
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vectors Neighbor expressions. the the the recognize After used K-Nearest to was extracting feature classifier
After extracting the feature vectors the K-Nearest Neighbor classifier was used to recognize the expressions.
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interactions in key role a cell Protein-peptide play functions.
Protein-peptide interactions play a key role in cell functions.
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is discovery the characterization, of though drugs. for challenging, important new Their structural
Their structural characterization, though challenging, is important for the discovery of new drugs.
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two model. improve contributions to We and analyze RCPN further novel propose the
We analyze RCPN and propose two novel contributions to further improve the model.
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We develop mathematical these combines discovery a of model that all of scientific elements.
We develop a mathematical model of scientific discovery that combines all of these elements.
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bring research. results the Our about communication also to clarity verbal debates of
Our results also bring clarity to verbal debates about the communication of research.
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plasticity Hebbian the that to example. show learn by allows the networks We model consistency
We show that Hebbian plasticity allows the networks to learn the consistency model by example.
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well approximated the We that by dynamics sampling process. show stochastic a are search
We show that the search dynamics are well approximated by a stochastic sampling process.
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if the then positively diminishing habitats are autocorrelated, fishery with increases profit returns. However,
However, if habitats are positively autocorrelated, then the fishery profit increases with diminishing returns.
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Consequently, methods. are and analysis basis of respective quantitative the on qualitative results compared of
Consequently, results are compared on the basis of quantitative and qualitative analysis of respective methods.
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predicted More networks. specifically, by are the outputs separate two structure
More specifically, the structure outputs are predicted by two separate networks.
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robustness state-of-the-art in speed. and the Experiments show MODS outperforms the that
Experiments show that the MODS outperforms the state-of-the-art in robustness and speed.
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the size are neighborhoods of the By compared, method that scale-dependent. is implicitly the adjusting
By adjusting the size of the neighborhoods that are compared, the method is implicitly scale-dependent.
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on or small able to also gradients. changes focus is large either It
It is also able to focus on either small changes or large gradients.
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are processes a Branching with (CTMCs) chains ubiquitous applications. of Markov continuous-time class
Branching processes are a class of continuous-time Markov chains (CTMCs) with ubiquitous applications.
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challenging We dataset. demonstrate the our a on accuracy and approach of robustness
We demonstrate the robustness and accuracy of our approach on a challenging dataset.
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a I to relations priori experienced candidates answer former cover questions. for
I cover a priori relations to experienced answer candidates for former questions.
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concentration novel missing We for i.e. concerned are inequalities obtaining the with mass,
We are concerned with obtaining novel concentration inequalities for the missing mass, i.e.
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outcomes mass the of observed the probability not total sample. in the
the total probability mass of the outcomes not observed in the sample.
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difference have in sums terms whose large magnitude.
sums whose terms have large difference in magnitude.
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is should dependent and a parameter application of Which errors be the measure. tolerable are
Which errors are tolerable is application dependent and should be a parameter of the measure.
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The should measure. be error so reflected by do time the to needed
The time needed to do so should be reflected by the error measure.
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solve and pose simultaneously allows for The method shape parameters. to
The method allows to simultaneously solve for shape and pose parameters.
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the our for it applicable speed method, of applications. of is Because realtime
Because of the speed of our method, it is applicable for realtime applications.
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pseudo-input functions cannot the sparse to Standard handle process (GP) Gaussian well. complex approximations
Standard sparse pseudo-input approximations to the Gaussian process (GP) cannot handle complex functions well.
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to to are alternatives but over-fit. attempt spectrum known Sparse this answer
Sparse spectrum alternatives attempt to answer this but are known to over-fit.
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on which The distribution has random is function a variational posterior, covariance placed. a
The random covariance function has a posterior, on which a variational distribution is placed.
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function transforms the The random fit variational to data. covariance the distribution
The variational distribution transforms the random covariance function to fit the data.
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standard than complex functions avoids and over-fitting. approaches approximation better captures Our
Our approximation captures complex functions better than standard approaches and avoids over-fitting.
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of method the instead structure plants their analyses using silhouettes. Our only
Our method instead analyses the structure of plants using only their silhouettes.
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may appear. feedback, selectivity a in sharp strong For neuronal resonance the spectral
For strong feedback, a sharp resonance in the spectral neuronal selectivity may appear.
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reconstruct from sensing scenes static Existing systems SMC techniques (CS). compressive using
Existing SMC systems reconstruct static scenes using techniques from compressive sensing (CS).
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quality. poor however, For acquisition methods and videos, existing deliver recovery
For videos, however, existing acquisition and recovery methods deliver poor quality.
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Machine for are recognition problems. methods most used today learning
Machine learning methods are used today for most recognition problems.
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Artificial size of to data We use enhance set. training small System Principles Immune
We use Artificial Immune System Principles to enhance small size of training data set.
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to further model emphasize statistics. The atoms parts both in dictionary weighted adaptively are their
The dictionary atoms in both parts are further adaptively weighted to emphasize their model statistics.
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selectivity. stimulate or sparsity under are networks of To this constraint behavior, trained mathematical networks
To stimulate this behavior, networks are trained networks under mathematical constraint of sparsity or selectivity.
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address does mature, rich literature, driving the and rash not Car though processing Image problem.
Car Image processing literature, though rich and mature, does not address the rash driving problem.
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(FEP) on the neuroscience "free-energy principle'' so-called increasingly in cognitive is high-profile. becoming Research
Research on the so-called "free-energy principle'' (FEP) in cognitive neuroscience is becoming increasingly high-profile.
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transmitting as flavivirus. known Aedes vector dengue is aegypti responsible the
Aedes aegypti is known as the responsible vector transmitting dengue flavivirus.
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basic equilibria offspring mosquito shown. The analysis and obtained was was number of
The basic mosquito offspring number was obtained and analysis of equilibria was shown.
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two-valued introduced fitness quasispecies classical is landscape the for model. A Eigen's
A two-valued fitness landscape is introduced for the classical Eigen's quasispecies model.
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sequences for for of given. threshold error are Sufficient so-called orbits conditions the
Sufficient conditions for the so-called error threshold for sequences of orbits are given.
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optimization problem. Vehicles dispersed Air is targets an to (AVs) geographically prosecute important Multiple
Multiple Air Vehicles (AVs) to prosecute geographically dispersed targets is an important optimization problem.
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each classification, attack successively viz., are performed multiple target. on verification tasks target and Associated
Associated multiple tasks viz., target classification, attack and verification are successively performed on each target.
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tasks are Coupled involving time task order constraints addressed. and
Coupled tasks involving time and task order constraints are addressed.
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have sufficient existence When solution AVs of is optimal endurance, guaranteed.
When AVs have sufficient endurance, existence of optimal solution is guaranteed.
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annotations Yet are require expensive bounding-box to learn. expensive and computationally these still
Yet these require expensive bounding-box annotations and are still computationally expensive to learn.
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well-known monocular is tracking images surface Deformable from to under-constrained. be
Deformable surface tracking from monocular images is well-known to be under-constrained.
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state-of-the-art framework for Our textured, achieves both surfaces. poorly and well occluded results
Our framework achieves state-of-the-art results for both well and poorly textured, occluded surfaces.
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face system. for a present approach recognition We new
We present a new approach for face recognition system.
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active decades. of in topic has past a Integer Optimization research been Mixed
Mixed Integer Optimization has been a topic of active research in past decades.
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Statistical data. regression massive solve of and problems used been It to has involving classification
It has been used to solve Statistical problems of classification and regression involving massive data.
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However, huge vagueness real inherent of degree life is in there present data. an
However, there is an inherent degree of vagueness present in huge real life data.
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impreciseness handled Fuzzy Sets. This is by
This impreciseness is handled by Fuzzy Sets.
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discrete The of exploits problem. character methodology
The methodology exploits discrete character of problem.
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way solved limits. scale are within large practical problems In this
In this way large scale problems are solved within practical limits.
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images and The vertical are analyzing unfolding these horizontal images. before of done
The vertical and horizontal unfolding of images are done before analyzing these images.
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results The the spatial of confirms heterogeneity in mismatch domain.
The mismatch of results confirms the heterogeneity in spatial domain.
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experiments. by accuracy and the demonstrate real our of synthetic of means We solution
We demonstrate the accuracy of our solution by means of synthetic and real experiments.
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paper means studies efficient This intra-category for detection. with object dealing in diversity
This paper studies efficient means for dealing with intra-category diversity in object detection.
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fast features detection AdaBoost detection. is employed lookup pixel scheme for An with
An AdaBoost detection scheme is employed with pixel lookup features for fast detection.
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is optimization on the via the a coarse step. Augmenting details mesh fine final done
Augmenting the fine details on the coarse mesh is done via a final optimization step.
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bearings using acquired is data from test faulty a Vibration rig.
Vibration data is acquired from faulty bearings using a test rig.
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smoothing feature distributions. The involves of processing
The processing involves smoothing of feature distributions.
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edge-preserving to have spread due Bilateral properties. use filters their wide
Bilateral filters have wide spread use due to their edge-preserving properties.
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construction the efficient We build on lattice for permutohedral filtering.
We build on the permutohedral lattice construction for efficient filtering.
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This architectures. into view provides new ways structure encode to network model
This view provides new ways to encode model structure into network architectures.
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usage filters. A validates of of forms set experiments empirically diverse the general of
A diverse set of experiments empirically validates the usage of general forms of filters.
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that a Second, consideration independence. we degree takes of of new rule combination propose sources'
Second, we propose a new combination rule that takes consideration of sources' degree of independence.
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functions. illustrated generated mass The is proposed on method
The proposed method is illustrated on generated mass functions.
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parametric address and models to considered hyperspectral been Different have unmixing problems. nonparametric
Different parametric and nonparametric models have been considered to address hyperspectral unmixing problems.
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one is The the mixing linear model. simplest
The simplest one is the linear mixing model.
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has nonlinear. also been phenomena it recognized can be that Nevertheless, mixing
Nevertheless, it has been recognized that mixing phenomena can also be nonlinear.
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propose mixed we In pixels. for technique a this nonlinearly detecting paper,
In this paper, we propose a technique for detecting nonlinearly mixed pixels.
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given. {\sigma}_BS and analysis I_B of been A detailed has
A detailed analysis of I_B and {\sigma}_BS has been given.
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