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between learning features discriminative for Extracted multiple interactions within are framework recognizing people. a utilized
Extracted multiple features are utilized within a discriminative learning framework for recognizing interactions between people.
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and by investigate focal injury seizures acquired induced in epileptogenesis the head to rat.
to investigate focal seizures and acquired epileptogenesis induced by head injury in the rat.
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genome. move can around that DNA are elements different sequences Transposable to positions in the
Transposable elements are DNA sequences that can move around to different positions in the genome.
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can an lead genome size. process, increase and cause During this mutations, to in they
During this process, they can cause mutations, and lead to an increase in genome size.
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Despite genomic have no transposable biological function. large fraction, a representing elements clear
Despite representing a large genomic fraction, transposable elements have no clear biological function.
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tested is seven videos proposed on and with state-of-the-art method The compared several methods.
The proposed method is tested on several videos and compared with seven state-of-the-art methods.
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further robustness and proposed method. of support have the the effectiveness to results provided Our
Our results have provided further support to the effectiveness and robustness of the proposed method.
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on possible. based proposed the are results real-time indicate techniques that implementations Our
Our results indicate that real-time implementations based on the proposed techniques are possible.
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b) an How likes look works? ontology how it and
b) How an ontology look likes and how it works?
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it ontologies existing is consider reusing to not? required if Verify c) or
c) Verify if it is required to consider reusing existing ontologies or not?
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developed? the c) What is the of be complexity ontology to
c) What is the complexity of the ontology to be developed?
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of What design ontology are the d) development? and principles
d) What are the principles of ontology design and development?
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above. key This answers the all paper questions
This paper answers all the key questions above.
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that framework. Here, we three our methods follow introduce
Here, we introduce three methods that follow our framework.
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arguments discuss explain theoretical implications. this to provide its practical result and We
We provide theoretical arguments to explain this result and discuss its practical implications.
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heatmaps performance. we the Finally, unsupervised network investigate use of of assessment for neural
Finally, we investigate the use of heatmaps for unsupervised assessment of neural network performance.
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main large-scale are the make Indexing approaches. To Estimation search and feasible, Subset Distance
To make large-scale search feasible, Distance Estimation and Subset Indexing are the main approaches.
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relative their not However, has Subset performance been Indexing. for studied
However, their relative performance has not been studied for Subset Indexing.
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binary better strategies. investigate or n-ary works We retrieval under coding different whether
We investigate whether binary or n-ary coding works better under different retrieval strategies.
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new dictionary approach this a learning. present kernels paper we incorporating into of In
In this paper we present a new approach of incorporating kernels into dictionary learning.
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automatically effective by an proposed method is detected training the Moreover, landmarks. disturbing
Moreover, an effective training method is proposed by disturbing the automatically detected landmarks.
15,320
for rare arise, nest-structured in dynamics a evolutionary example, can population migration. with These
These evolutionary dynamics can arise, for example, in a nest-structured population with rare migration.
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strength any selection. hold Our for of results
Our results hold for any strength of selection.
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intensive of is human the today. connectome research object an The
The human connectome is the object of an intensive research today.
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the of discovering directions question of is One the the field main edges.
One main question of the field is discovering the directions of the edges.
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we $(v,u)$ from Then to edge $u$. $v$ direct this
Then we direct this $(v,u)$ edge from $v$ to $u$.
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Traditional characters. suffer character handwritten in Chinese similar for approaches recognition classifying
Traditional approaches for handwritten Chinese character recognition suffer in classifying similar characters.
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field, medical are to diagnosis used the of increasingly images facilitate In diseases.
In the medical field, images are increasingly used to facilitate diagnosis of diseases.
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have patches based this solve been methods problem. to Some proposed
Some patches based methods have been proposed to solve this problem.
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the for departure this question This provides chapter. point
This question provides the departure point for this chapter.
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is games a variations. family Poker many card that of includes
Poker is a family of card games that includes many variations.
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We use two to training therefore propose sources. independent
We therefore propose to use two independent training sources.
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many in found Mixture uses areas. have models
Mixture models have found uses in many areas.
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To list models. and latent unsupervised empirical trait a learning, few: class Bayes,
To list a few: unsupervised learning, empirical Bayes, latent class and trait models.
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considering carefully only scoring mechanism formulated cases visible. are partially is The faces where challenging
The scoring mechanism is carefully formulated considering challenging cases where faces are only partially visible.
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speed. of despite that the DCN, achieve show our We runtime can practical use network
We show that despite the use of DCN, our network can achieve practical runtime speed.
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LBP cost The computational the property and their very features texture low. discriminative possess is
The LBP features possess the texture discriminative property and their computational cost is very low.
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compared. curves the and are results K-fold ROC obtained and proposed For approach are
For the proposed approach K-fold and ROC curves are obtained and results are compared.
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these R package in are available on CRAN. implemented nonparametric Several of tests the spTest,
Several of these nonparametric tests are implemented in the R package spTest, available on CRAN.
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of Validation methods of importance. segmentation image critical is
Validation of image segmentation methods is of critical importance.
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is in image increasingly the as Probabilistic results. popular captures it segmentation uncertainty
Probabilistic image segmentation is increasingly popular as it captures uncertainty in the results.
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of segmentation robust measure These probabilistic accuracy. a accurate multi-region and provide
These provide a robust and accurate measure of multi-region probabilistic segmentation accuracy.
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fully an graph, and connected both incorporating image Attribute-Graph is global characteristics. An local undirected
An Attribute-Graph is an undirected fully connected graph, incorporating both local and global image characteristics.
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problem demonstrate ranking. of applying the effectiveness the by We of them to image Attribute-Graphs
We demonstrate the effectiveness of Attribute-Graphs by applying them to the problem of image ranking.
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demonstrate its examples. We simulations and through applicability
We demonstrate its applicability through simulations and examples.
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to learn proposed methods been descriptors. data-dependent binary have Various
Various methods have been proposed to learn data-dependent binary descriptors.
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properties multiple computed is the are Secondly, RMGD extracted. binary image from strings where
Secondly, the RMGD is computed from multiple image properties where binary strings are extracted.
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and Prior statistical, studied iterative, techniques. has problem using representation work this sparse algebraic, low-rank
Prior work has studied this problem using algebraic, iterative, statistical, low-rank and sparse representation techniques.
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understanding for a is fundamental Scene environmental today's classification task in perception robotics.
Scene classification is a fundamental perception task for environmental understanding in today's robotics.
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a with segmentation. implemented of is This regularization semantic
This is implemented with a regularization of semantic segmentation.
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to connect the perceive world. language and vision Humans
Humans connect language and vision to perceive the world.
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similar for to build a connection computers? How
How to build a similar connection for computers?
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Thus, other for vision is ISR helpful unclear is whether still tasks. it
Thus, it is still unclear whether ISR is helpful for other vision tasks.
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combines model of instead single multiple simultaneously individually. models framework ensemble a The ensemble using
The framework combines multiple ensemble models simultaneously instead of using a single ensemble model individually.
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benchmark challenging sequences. on proposed tracker We the image test
We test the proposed tracker on challenging benchmark image sequences.
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boost use performance. regression resampled partial set Furthermore, we to on a least squares training
Furthermore, we use partial least squares regression on a resampled training set to boost performance.
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complex algorithm solution robust tracking object in is A scenes. for video proposed an
A robust algorithm solution is proposed for tracking an object in complex video scenes.
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efficacy the Experimental of validate radish approach. publicly the results available using proposed dataset the
Experimental results using the publicly available radish dataset validate the efficacy of the proposed approach.
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of include images. accessory These large clothing numbers and
These include large numbers of clothing and accessory images.
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survey synchronization theory noisy oscillators. of We in collections the
We survey the theory synchronization in collections of noisy oscillators.
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synchronization hydrodynamic flagellar applied framework to interactions. This by is
This framework is applied to flagellar synchronization by hydrodynamic interactions.
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synchronization, break physical in for ways. We discuss flagellar different which symmetry different this mechanisms
We discuss different physical mechanisms for flagellar synchronization, which break this symmetry in different ways.
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diverse are abundant Chromatin remodeling machineries and eukaryotic in cells.
Chromatin remodeling machineries are abundant and diverse in eukaryotic cells.
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results us segmentation to benchmark enables on feature achieve state-of-the-art This datasets.
This feature enables us to achieve state-of-the-art segmentation results on benchmark datasets.
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chains if the These reactivated can considers algorithm necessary. extinct be
These extinct chains can be reactivated if the algorithm considers necessary.
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the scheme. benefits Numerical the simulations of shows novel
Numerical simulations shows the benefits of the novel scheme.
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in been in These full previous addressed not have generality work.
These have not been addressed in full generality in previous work.
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step in two images. or matching estimating from key the depth more Stereo is
Stereo matching is the key step in estimating depth from two or more images.
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have performance. achieved Recently, some methods non-local been which proposed, state-of-the-art matching tree-based stereo
Recently, some tree-based non-local stereo matching methods have been proposed, which achieved state-of-the-art performance.
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MST. our because of partially is the overcome extreme the This DTs greediness
This is partially because our DTs overcome the extreme greediness of the MST.
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the Extensive on our demonstrate of experimental and benchmark effectiveness efficiency datasets some results framework.
Extensive experimental results on some benchmark datasets demonstrate the effectiveness and efficiency of our framework.
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give we Theory. on Bayesian the In outline an paper Decision this
In this paper we give an outline on the Bayesian Decision Theory.
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ARS high rejection rates. from with sampling independent generates via samples target acceptance the
ARS generates independent samples from the target via rejection sampling with high acceptance rates.
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each sampling computational pdf updated. time demanding is becomes However, the it from proposal more
However, sampling from the proposal pdf becomes more computational demanding each time it is updated.
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faster CARS than For is of a number large generating samples, desired ARS.
For generating a large number of desired samples, CARS is faster than ARS.
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a such properties filter. univariate of generalise Many filters median to
Many properties of univariate median filters generalise to such a filter.
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the demonstrate Numerical results. are the that experiments approximation validity presented of
Numerical experiments are presented that demonstrate the validity of the approximation results.
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cells encode regulatory diverse surprisingly, to noise. Not buffer mechanisms
Not surprisingly, cells encode diverse regulatory mechanisms to buffer noise.
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feedforward the One such incoherent mechanism circuit. is
One such mechanism is the incoherent feedforward circuit.
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propose which the scalable stochastic gradient algorithm makes based method learning (w.r.t. a We
We propose a stochastic gradient based learning algorithm which makes the method scalable (w.r.t.
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nonlinear. the examples), of training while number being
the number of training examples), while being nonlinear.
15,380
trackers years. Tracking-by-detection recent are the most approaches successful object some in of
Tracking-by-detection approaches are some of the most successful object trackers in recent years.
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solution. two algorithms Then, are proposed for the
Then, two algorithms are proposed for the solution.
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search local TSP-D is it a generated, been After has solution improved through operators. then
After a TSP-D solution has been generated, it is then improved through local search operators.
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unmixing. normal model (NCM) has compositional used been in The hyperspectral extensively
The normal compositional model (NCM) has been extensively used in hyperspectral unmixing.
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has their focused variability. previous However, of the and/or on of research estimation most endmembers
However, most of the previous research has focused on estimation of endmembers and/or their variability.
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NCM. work Also, information little employed has spatial in
Also, little work has employed spatial information in NCM.
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be run. to to easy implement turns and The to out resulting algorithm efficient
The resulting algorithm turns out to be easy to implement and efficient to run.
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compared and state-of-the-art synthetic SCM current real We with on images. algorithms
We compared SCM with current state-of-the-art algorithms on synthetic and real images.
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the that accurate and endmembers SCM abundances. main in results more show The provide can
The results show that SCM can in the main provide more accurate endmembers and abundances.
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a as endmember under uncertainty of prediction the Moreover, error can serve certain estimated conditions.
Moreover, the estimated uncertainty can serve as a prediction of endmember error under certain conditions.
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approach on dataset. evaluate our the We MNIST
We evaluate our approach on the MNIST dataset.
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several algorithms in immense possibilities of offer the cognitive Machine-learning applications. development
Machine-learning algorithms offer immense possibilities in the development of several cognitive applications.
15,392
In this War. Square game: paper, we present a board
In this paper, we present a board game: Square War.
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to Chinese War similar Go. board definition classic Square game is game the of The
The game definition of Square War is similar to the classic Chinese board game Go.
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Then game mathematical Square problem of War. we propose the a
Then we propose a mathematical problem of the game Square War.
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ding fundamental in cue Motion for and analysis a human activity scene understan- is videos.
Motion is a fundamental cue for scene analysis and human activity understan- ding in videos.
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can only be approach Each scenarios. applied limited on
Each approach can only be applied on limited scenarios.
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Gibbs learning. Monte often Markov Carlo a used Bayesian (MCMC) is sampling Chain method in
Gibbs sampling is a Markov Chain Monte Carlo (MCMC) method often used in Bayesian learning.
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sequential We requirements. sampling, parallelism by asynchronous Gibbs achieves which study simply ignoring
We study asynchronous Gibbs sampling, which achieves parallelism by simply ignoring sequential requirements.
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