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processes. address theory this Poisson of through we inhomogeneous Here a shortcoming filtering
Here we address this shortcoming through a filtering theory of inhomogeneous Poisson processes.
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which introduce order this we to will depend. change will AI In parameters to some
In order to change this we will introduce some parameters to which AI will depend.
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value. we we calculate cannot because is say level this its Nevertheless, exact which cannot
Nevertheless, we cannot say which is this level because we cannot calculate its exact value.
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supports repeat interactions. in to that an may experimental expansion increase molecular This evidence lead
This supports experimental evidence that repeat expansion may lead to an increase in molecular interactions.
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decrease Ka/Ks, interactions diversity, by protein-protein estimated appeared increased. the number to Genetic of as
Genetic diversity, estimated by Ka/Ks, appeared to decrease as the number of protein-protein interactions increased.
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with negatively VNTRs. G+C occurrence and increasing correlated CpG Additionally, content of were
Additionally, G+C and CpG content were negatively correlated with increasing occurrence of VNTRs.
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pathways new interaction in suggested The inter-species possible models protein maps. also the
The models also suggested new possible pathways in the inter-species protein interaction maps.
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knowledge and machine to discovery been applied data It learning, has mining.
It has been applied to machine learning, knowledge discovery and data mining.
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spaces. is vector of a in of theory linear The generalization matroids independence
The theory of matroids is a generalization of linear independence in vector spaces.
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has It and in combinatorial design. optimization used algorithm been
It has been used in combinatorial optimization and algorithm design.
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two Moreover, the we constructions. between connections investigate the above
Moreover, we investigate the connections between the above two constructions.
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our approach of are benefits The twofold.
The benefits of our approach are twofold.
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it uses prediction, i.e. for reference database First the
First it uses the reference database for prediction, i.e.
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setting. biomarkers provide potential clinical a in to
to provide potential biomarkers in a clinical setting.
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Second new statistical power increases task. on the it
Second it increases statistical power on the new task.
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remote tool. images sensing high classification is a (HIS) Hyperspectral technical
Hyperspectral images (HIS) classification is a high technical remote sensing tool.
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bands pixels find of the regions. The to the to classify problematic good is how
The problematic is how to find the good bands to classify the pixels of regions.
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we'll accept paper In redundancy. this the useful
In this paper we'll accept the useful redundancy.
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across the (N) size constant the population necessarily is However, genome. not effective
However, the effective population size (N) is not necessarily constant across the genome.
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a is events. significant association between However, there {\theta}s HGT and
However, there is a significant association between {\theta}s and HGT events.
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learned the a implies The mapping between data. two dictionary
The learned dictionary implies a mapping between the two data.
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learned A thereafter. specific CFA adaptive is the to dictionary input
A specific dictionary adaptive to the input CFA is learned thereafter.
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PSNR the of results demonstrate in perception. performance terms visual state-of-the-art and Experimental subjective
Experimental results demonstrate the state-of-the-art performance in terms of PSNR and subjective visual perception.
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The is normal distribution in applications. measurement error universal with
The measurement error with normal distribution is universal in applications.
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test better error measurement cost. instrument higher Generally, smaller requires and
Generally, smaller measurement error requires better instrument and higher test cost.
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distribution uniform covering to error with this Recently, issue. error-range-based set proposed was rough investigate
Recently, error-range-based covering rough set with uniform distribution error was proposed to investigate this issue.
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The this paper contributions of are major four-fold.
The major contributions of this paper are four-fold.
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data distribution on normal new a we model errors. based First, measurement build
First, we build a new data model based on normal distribution measurement errors.
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data an two-dimension new is error model, range ellipse a space. in With the the
With the new data model, the error range is an ellipse in a two-dimension space.
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problem is covering-based this the reduction attribute set. Third, test-cost-sensitive rough redefined on
Third, the test-cost-sensitive attribute reduction problem is redefined on this covering-based rough set.
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a to heuristic with deal this algorithm proposed Fourth, problem. is
Fourth, a heuristic algorithm is proposed to deal with this problem.
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is - of Irvine) tested California ten datasets. UCI algorithm (University on The
The algorithm is tested on ten UCI (University of California - Irvine) datasets.
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is toward of applications step study realistic a This learning. cost-sensitive
This study is a step toward realistic applications of cost-sensitive learning.
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we Levene's both populations. Hardy-Weinberg test, Using in reject exact
Using Levene's exact test, we reject Hardy-Weinberg in both populations.
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for not each different were populations correlated. chromosome F of estimates Furthermore, in
Furthermore, estimates of F for each chromosome in different populations were not correlated.
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the leaves the with interacting his/her platform, machine. every in learner traces When
When interacting with the platform, every learner leaves his/her traces in the machine.
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The learning can system subject. support any
The system can support any learning subject.
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measure, (ILCSS). Inverse Sub-Sequence complementary Common We a Longest similarity named propose
We propose a complementary similarity measure, named Inverse Longest Common Sub-Sequence (ILCSS).
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compared. Third, four lattice these geometric structures are
Third, these four geometric lattice structures are compared.
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yields benchmarks. algorithm competitive results and The both unimodal multimodal on
The algorithm yields competitive results on both unimodal and multimodal benchmarks.
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rules by (crisp) are definitions. of instead they classical defined Moreover, Sugeno fuzzy
Moreover, they are defined by fuzzy Sugeno rules instead of classical (crisp) definitions.
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A at rate a geometric ergodic. that geometrically converges chain is
A chain that converges at a geometric rate is geometrically ergodic.
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results Our using are two examples. illustrated
Our results are illustrated using two examples.
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In types covering operators. the paper, we approximation present three characterizations this of topological to
In this paper, we present the topological characterizations to three types of covering approximation operators.
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these Finally, topologies are space three compared.
Finally, these three topologies space are compared.
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covering-based provides word, method a In to useful sets. a the study rough topology
In a word, topology provides a useful method to study the covering-based rough sets.
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produce color to to main device the picture objective reproduction at output. The is identical
The main objective to color reproduction is to produce the identical picture at device output.
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gamut mapping that has For principles . for designed been
For that principles for gamut mapping has been designed .
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latency visual generally The decreases contrast of as increases. responses
The latency of visual responses generally decreases as contrast increases.
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Most applications in unimodal. biometric systems real-world deployed are
Most biometric systems deployed in real-world applications are unimodal.
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The (GT). reference region the called map Ground of image is Truth
The reference image of the region is called Ground Truth map (GT).
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Information to and relevant methods use bands. Some select Mutual threshold, (MI)
Some methods use Mutual Information (MI) and threshold, to select relevant bands.
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and paper we'll useful redundancy. between useless In this make difference
In this paper we'll make difference between useful and useless redundancy.
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contributes to useful redundancy it probability. if band decreasing error contains A
A band contains useful redundancy if it contributes to decreasing error probability.
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complementary we To redundancy, threshold. control a introduce
To control redundancy, we introduce a complementary threshold.
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the from problem. objects PDF Extracting challenging is text images a
Extracting text objects from the PDF images is a challenging problem.
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This presents two paper classification. techniques under block-based
This paper presents two techniques under block-based classification.
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and consumption tested for The time are both performance for models. segmentation the metrics
The performance metrics for segmentation and time consumption are tested for both the models.
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are is which AI?" we questions consider here will "What The
The questions which we will consider here are "What is AI?"
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multi-agent definition in we Here of of present terms the will AI systems.
Here we will present the definition of AI in terms of multi-agent systems.
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answer a old new in form. an but ",
", but an old answer in a new form.
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that answer will help important work question. this More us the is second
More important is that this work will help us answer the second question.
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multi-instance single outperforms any the indicate performance approach using Results instance. than that higher verification
Results indicate that the multi-instance verification approach outperforms higher performance than using any single instance.
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task. resolution Recognizing degraded faces are challenging blurred yet low common images from and
Recognizing degraded faces from low resolution and blurred images are common yet challenging task.
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framework types adaptive proposed. are for blurred classification based on Two of dictionary image
Two types of framework for blurred image classification based on adaptive dictionary are proposed.
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from adaptive input The image. estimated the dictionary to Point Function is blurred Spread (PSF)
The dictionary is adaptive to the Point Spread Function (PSF) estimated from input blurred image.
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results frameworks. effectiveness confirm experiment the the of The proposed
The experiment results confirm the effectiveness of the proposed frameworks.
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Optical retinal and powerful noninvasive for method a tomography is coherence (OCT) imaging.
Optical coherence tomography (OCT) is a powerful and noninvasive method for retinal imaging.
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not does The approach presented and on edge-based image regional texture. image information relies require
The presented approach does not require edge-based image information and relies on regional image texture.
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two from eliminated remaining sections The other calculations. are the
The other two sections are eliminated from the remaining calculations.
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information outliers. priori a does about not number require of any It the
It does not require any a priori information about the number of outliers.
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available Implementation the package. of is proposed extension in R-INLA the
Implementation of the proposed extension is available in the R-INLA package.
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expression. regulates methylation The DNA gene of
The methylation of DNA regulates gene expression.
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from passive heterogenity model expected The population mechanisms. the the in describes
The model describes the heterogenity in the population expected from passive mechanisms.
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We of the multicellular population. at on also look selection the effects
We also look at the effects of selection on the multicellular population.
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passive inaccessible mechanisms. that there states methylation are us tells by of model The
The model tells us that there are states of methylation inaccessible by passive mechanisms.
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times, become one modern vision. has face aspects of recognition key of computer the In
In modern times, face recognition has become one of the key aspects of computer vision.
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There with hundreds this. associated factors not if are thousand
There are hundreds if not thousand factors associated with this.
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distance, distance. e.g., pairwise determined are using The Euclidean structures generally by
The structures are generally determined by using pairwise distance, e.g., Euclidean distance.
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The derives a term that similar biologic the code. locality from similar observation have inputs
The locality term derives from a biologic observation that the similar inputs have similar code.
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relies This the on proposal sequential Monte al. sampler et Del of Carlo Moral
This proposal relies on the sequential Monte Carlo sampler of Del Moral et al.
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the explosion. Really, this to is due useless combinatory algorithm
Really, this algorithm is useless due to the combinatory explosion.
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Intellect. our also newly to an a baby according born definition is So
So according to our definition a newly born baby also is an Intellect.
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automata offer will consist order final which we The of model and formulas. will first
The model which we will offer will consist of final automata and first order formulas.
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binarization. One important the of steps image most of is processing document
One of the most important steps of document image processing is binarization.
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time shifts. since capture interactions it and However, is non-linear limited its cannot reliability
However, its reliability is limited since it cannot capture non-linear interactions and time shifts.
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the are regression innovations proposed where A for type problems weighted regression is heavy-tailed. procedure
A weighted regression procedure is proposed for regression type problems where the innovations are heavy-tailed.
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random illustrated walk. on problems, the be first-order The including will procedure autoregressive
The procedure will be illustrated on first-order autoregressive problems, including the random walk.
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scheme We processing patches. its image based reordering on of propose an
We propose an image processing scheme based on reordering of its patches.
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probability. maximization as reconstruction We problem posed outline of a super-resolution the
We outline the super-resolution reconstruction problem posed as a maximization of probability.
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free provided. shown the reproduces software implementation is that A results
A free software implementation that reproduces the results shown is provided.
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present Maximum new paper algorithm--a convexified this a graph version we clustering. of Likelihood--for In
In this paper we present a new algorithm--a convexified version of Maximum Likelihood--for graph clustering.
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thus challenge. Threshold important selection an remains
Threshold selection thus remains an important challenge.
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are and considered. Iterated the Search The NK family metaheuristic Local landscapes of
The NK family of landscapes and the Iterated Local Search metaheuristic are considered.
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the power landscapes. of a validates This model LONs of combinatorial as fitness study expressive
This study validates the expressive power of LONs as a model of combinatorial fitness landscapes.
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particular cooperation in that actors solutions in the Chain. on focus propose between We Supply
We propose in particular solutions that focus on cooperation between actors in the Supply Chain.
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interaction lies nuclear nuclear in strong with acids. problem An proteins with additional their
An additional problem with nuclear proteins lies in their strong interaction with nuclear acids.
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in of can supercoiling expression. affect level gene chromosome The the
The level of supercoiling in the chromosome can affect gene expression.
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our through extensive demonstrate algorithms We evaluation. the power empirical hybrid of
We demonstrate the power of our hybrid algorithms through extensive empirical evaluation.
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to cells that are need from noisy. information often signals Living biochemical extract
Living cells often need to extract information from biochemical signals that are noisy.
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