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algorithms Fuzzy suitable clustering performing based soft for tasks. are logic always
Fuzzy logic based algorithms are always suitable for performing soft clustering tasks.
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(FCM) C Means based logic is fuzzy Fuzzy a algorithm very algorithm. popular
Fuzzy C Means (FCM) algorithm is a very popular fuzzy logic based algorithm.
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components critical two time many systems. are and real of Space world
Space and time are two critical components of many real world systems.
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this has reason, of a data in interest. anomalies of For spatiotemporal great been analysis
For this reason, analysis of anomalies in spatiotemporal data has been a great of interest.
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the arguments. from ranking values arguments of strength is on In derived the general, the
In general, the ranking on arguments is derived from the strength values of the arguments.
10,604
fixed we issues this point paper, technique. will In via cope these with
In this paper, we will cope with these issues via fixed point technique.
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low effectively Crowdsourcing labels paradigm a for at popular cost. is collecting
Crowdsourcing is a popular paradigm for effectively collecting labels at low cost.
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crowd In we efficient paper, a two-stage algorithm multi-class problems. this propose for labeling
In this paper, we propose a two-stage efficient algorithm for multi-class crowd labeling problems.
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to estimate spectral an the first parameters. stage initial obtain The method uses of
The first stage uses the spectral method to obtain an initial estimate of parameters.
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achieves the convergence up We logarithmic to show that rate factor. optimal algorithm our a
We show that our algorithm achieves the optimal convergence rate up to a logarithmic factor.
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synthetic conduct experiments on extensive datasets. We real and
We conduct extensive experiments on synthetic and real datasets.
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freely together available, examples. source with code some is The
The source code is freely available, together with some examples.
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covariates. not or observed typically the in corruptions to these However, outliers robust algorithms are
However, these algorithms are typically not robust to outliers or corruptions in the observed covariates.
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has quantifying such effects to relationship been polygenic their risk disease challenging. and However,
However, quantifying such polygenic effects and their relationship to disease risk has been challenging.
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a For this number purpose of large literature. in methods exist
For this purpose a large number of methods exist in literature.
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a proposed. shapes has fusion In this recognition based method been paper
In this paper a fusion based shapes recognition method has been proposed.
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of a It applications from number to security has entertainment. ranging
It has a number of applications ranging from security to entertainment.
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time communication and need machines. applications applications These real fast, generally are accurate with
These applications generally are real time applications and need fast, accurate communication with machines.
10,617
based before has done with calculation gloves/devices. sensor been Angle
Angle calculation has been done before with sensor based gloves/devices.
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level-set geometrical using detected were using analysis. and method angles are Fingertips calculated
Fingertips are detected using level-set method and angles were calculated using geometrical analysis.
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to This system task. technique the for perform no training requires
This technique requires no training for system to perform the task.
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low-rank estimation The a autoregressive the key is matrices. of find to
The key is to find a low-rank estimation of the autoregressive matrices.
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processes further exact are chosen details often consideration. of these much without The
The exact details of these processes are often chosen without much further consideration.
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choices this micro-level view robust the really are. these on challenge We and investigate how
We challenge this view and investigate how robust these choices on the micro-level really are.
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can that assumes scales images be at (zoom levels). only It taken different
It only assumes that images can be taken at different scales (zoom levels).
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are this causes gene possible Many incongruence tree of known.
Many possible causes of this gene tree incongruence are known.
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is process. commonly The studied best the lineage sorting, modeled by which coalescent incomplete is
The best studied is incomplete lineage sorting, which is commonly modeled by the coalescent process.
10,626
fundamental metric for learning. critical are problems Two feature person representation and re-identification,
Two fundamental problems are critical for person re-identification, feature representation and metric learning.
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well computation regularization. XQDA, also method as as for We present practical a its
We also present a practical computation method for XQDA, as well as its regularization.
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hierarchical set Granular It in naturally problem, realized classification that any is arises.
It is realized that in any hierarchical classification problem, Granular set naturally arises.
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This of set. the concept generalizes rough
This generalizes the concept of rough set.
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theory of finds a It hoped sets that is graded granular/ applications. several detailed
It is hoped that a detailed theory of granular/ graded sets finds several applications.
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Such advantages has as many argued in modelling literature.
Such modelling has many advantages as argued in literature.
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the computational increasing population, overall Approximating repeated cost. these of requires the samplings statistics drastically
Approximating these statistics requires repeated samplings of the population, drastically increasing the overall computational cost.
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estimation video major developing the problems one in coding Motion of is applications.
Motion estimation is one of the major problems in developing video coding applications.
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belonging the solutions. approach vectors to The window uses potential search as motion
The approach uses motion vectors belonging to the search window as potential solutions.
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matching of candidate. motion vector the each function evaluates A quality fitness
A fitness function evaluates the matching quality of each motion vector candidate.
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Evolutionary counterintuitive interesting dynamics and many findings. to lead can on graphs
Evolutionary dynamics on graphs can lead to many interesting and counterintuitive findings.
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of Remarkably, the all single mutant fixation on is a the regular probability networks. same
Remarkably, the fixation probability of a single mutant is the same on all regular networks.
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increase networks fixation decrease But or probability. can the non-regular
But non-regular networks can increase or decrease the fixation probability.
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and introduced methods in the on Vision techniques literature. other based Several Computer are
Several methods based on Computer Vision and other techniques are introduced in the literature.
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Metropolis-Hastings define sampler We random-walk for updating diffusion a type bridges.
We define a random-walk type Metropolis-Hastings sampler for updating diffusion bridges.
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diffusion proposals sampling guided for Our methods are illustrated bridges. using
Our methods are illustrated using guided proposals for sampling diffusion bridges.
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examples the performance of Numerical our methods. demonstrate
Numerical examples demonstrate the performance of our methods.
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valuable this in are situation. particularly Diagnostics
Diagnostics are particularly valuable in this situation.
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tool Gaussian large-scale updates, plot'. a visualisation the and We diagnostic `medal present for
We present a diagnostic and visualisation tool for large-scale Gaussian updates, the `medal plot'.
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new, or can abnormal, novel, unusual be They information. noisy
They can be novel, new, abnormal, unusual or noisy information.
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the majority data. of are interesting more Outliers the sometimes than
Outliers are sometimes more interesting than the majority of the data.
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texture. is classification of mammographic characteristics major One mass for the
One of the major mammographic characteristics for mass classification is texture.
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the The Haralick characterizing in features Run features. textural length are masses and statistical used
The statistical textural features used in characterizing the masses are Haralick and Run length features.
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bias comparable laboratories the same measurement amongst were for measurement also process. Ratio and variability
Ratio measurement variability and bias were also comparable amongst laboratories for the same measurement process.
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biases were for using different enrichment observed processes measurement Different mRNA protocols.
Different biases were observed for measurement processes using different mRNA enrichment protocols.
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in significance the discuss our of We results real life context the of networks.
We discuss the significance of our results in the context of real life networks.
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complete dengue This epidemic would the epidemic. most to the proposed be describe model
This would be the most complete epidemic model proposed to describe the dengue epidemic.
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fuzzy paradigm. This guide, formalized was in write logic using language, natural
This guide, write in natural language, was formalized using fuzzy logic paradigm.
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are system project. including validation, All expert TERAPERS part these researches, of
All these researches, including expert system validation, are part of TERAPERS project.
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matrix-vector sparse easy and is to products DFacTo, only parallelize. algorithm, two requires Our
Our algorithm, DFacTo, only requires two sparse matrix-vector products and is easy to parallelize.
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new a regardless network called SPP-net, of can The representation fixed-length generate size/scale. image structure,
The new network structure, called SPP-net, can generate a fixed-length representation regardless of image size/scale.
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Pyramid to is pooling robust deformations. also object
Pyramid pooling is also robust to object deformations.
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CNN-based With improve advantages, general image should classification these all in SPP-net methods.
With these advantages, SPP-net should in general improve all CNN-based image classification methods.
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also SPP-net detection. significant in object is power of The
The power of SPP-net is also significant in object detection.
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avoids This computing convolutional method the features. repeatedly
This method avoids repeatedly computing the convolutional features.
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introduces improvement the This this made also for manuscript competition.
This manuscript also introduces the improvement made for this competition.
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experimental linear are the model. also of Several reported, which the suitability justify results
Several experimental results are also reported, which justify the suitability of the linear model.
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agreement. We with single molecule find strong experiments compare our available predictions and manipulation
We compare our predictions with available single molecule manipulation experiments and find strong agreement.
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and elucidate constrained In particular overstretching. we difference unconstrained the between angularly
In particular we elucidate the difference between angularly constrained and unconstrained overstretching.
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key vision. a actions human is Understanding computer problem in
Understanding human actions is a key problem in computer vision.
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is of only recognizing what step actions first However, is a person understanding doing. the
However, recognizing actions is only the first step of understanding what a person is doing.
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make contributions main to three this. We achieve
We make three main contributions to achieve this.
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a population have a The environment evolves selection. crucial can in on impact which
The environment in which a population evolves can have a crucial impact on selection.
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in environment. finite dynamics changing size We a fixed evolutionary populations of in study
We study evolutionary dynamics in finite populations of fixed size in a changing environment.
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death events. population driven dynamics by The and birth are
The population dynamics are driven by birth and death events.
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the varies structure which payoff our evolutionary games We in theory to for time. apply
We apply our theory to evolutionary games for which the payoff structure varies in time.
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surprising interpretation provide We this an intuitive effect. of
We provide an intuitive interpretation of this surprising effect.
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distributions dynamics. We in also investigate stationary present when are the mutations
We also investigate stationary distributions when mutations are present in the dynamics.
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measure. regime, approximations stationary In the we find this of two
In this regime, we find two approximations of the stationary measure.
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well for works for One switching, rapid the slowly other fluctuating environments.
One works well for rapid switching, the other for slowly fluctuating environments.
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Neural Convolutional (CNN) tasks. demonstrated Network in performance single-label classification image promising has
Convolutional Neural Network (CNN) has demonstrated promising performance in single-label image classification tasks.
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the affecting representations. investigates such transferability factors introduces This paper and several of
This paper introduces and investigates several factors affecting the transferability of such representations.
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problem In study a we detector, the i.e. this `test-driving' of paper,
In this paper, we study the problem of `test-driving' a detector, i.e.
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We on of here their analyses plants. focus
We focus here on their analyses of plants.
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the sampled value are components using algorithm. These MSR down enhanced
These down sampled value components are enhanced using the MSR algorithm.
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wavelet the and computes in This scheme image enhanced of both original energy domain.
This scheme computes the energy of both original and enhanced image in wavelet domain.
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method state-of-the-art for action Our and gives prediction. results keypoint
Our method gives state-of-the-art results for keypoint and action prediction.
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citation. however excessive this Metrics through are such potentially as self impacted
Metrics such as this are however potentially impacted through excessive self citation.
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insights how to differ. rigorous on they leading We both comparison a provide of perspectives
We provide a rigorous comparison of both perspectives leading to insights on how they differ.
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local such of well-known of structure, forms lines Patches T-junctions. or as edges straight exhibit
Patches of edges exhibit well-known forms of local structure, such as straight lines or T-junctions.
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estimate We a criterion of derive information number selection clusters. to model the
We derive a model selection information criterion to estimate the number of clusters.
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and have To developed for been methods in introduced various images. date assessing textures
To date various methods have been developed and introduced for assessing textures in images.
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studies, success- use. has ful weaknesses in TEM Despite number several of a serious
Despite several success- ful studies, TEM has a number of serious weaknesses in use.
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image. therefore masks cannot they is; adapted The drawback the predefined be are major to
The major drawback is; the masks are predefined therefore they cannot be adapted to image.
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assess To TEM. aTEM, with it the compared of applicability is
To assess the applicability of aTEM, it is compared with TEM.
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for this texture aTEM results a analysis. method of indicate that study is The successful
The results of this study indicate that aTEM is a successful method for texture analysis.
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with extensive range testing wide and performed results. a We models have the of report
We have performed extensive testing with a wide range of models and report the results.
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three the truncation. measurements to flow-cytometry first We the of modeling problems, consider being subject
We consider three problems, the first being the modeling of flow-cytometry measurements subject to truncation.
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of where problems latter inference Markov Carlo is Monte are chain instances doubly-intractable. two The
The latter two are instances of problems where Markov chain Monte Carlo inference is doubly-intractable.
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Our algorithms for such demonstrate problems. state-of-the-art experiments superior performance over sampling
Our experiments demonstrate superior performance over state-of-the-art sampling algorithms for such problems.
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views face factors, Various coupled in (poses), illuminations, identities, images. are as such and
Various factors, such as identities, views (poses), and illuminations, are coupled in face images.
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challenge identity recognition. major a face in is and representations Disentangling the view
Disentangling the identity and view representations is a major challenge in face recognition.
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is of from different human the behavior brain. This
This is different from the behavior of human brain.
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