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Yet, about mechanisms genesis. little responsible for the is network very its known
Yet, very little is known about the network mechanisms responsible for its genesis.
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the in were data. predictions confirmed Both
Both predictions were confirmed in the data.
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We features. between the comparison fair CNN popular a provide also
We also provide a fair comparison between the popular CNN features.
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counts by from sources. The multiple method fusing information estimates
The method estimates counts by fusing information from multiple sources.
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one At rely scale, for this on of estimation. cannot set we only features count
At this scale, we cannot rely on only one set of features for count estimation.
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using video Haar to detect we Firstly faces automatically frames. classifier dynamic human in
Firstly we using Haar classifier to detect human faces automatically in dynamic video frames.
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Finally, achieve recognition. set we moment face to automatic the Hu using feature
Finally, we using Hu moment feature set to achieve the automatic face recognition.
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learning labeling is experiments prediction Our such both representation for in crucial and show space-time.
Our experiments show such representation learning is crucial for both labeling and prediction in space-time.
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of statisticians. more is result practice data for skills undergraduate The
The result is more practice of data skills for undergraduate statisticians.
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results pupil-size The the groups. difference normal population three a suggest in in
The results suggest a population difference in normal pupil-size in the three groups.
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We predictions obtain scenario. in to how this optimal study
We study how to obtain optimal predictions in this scenario.
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provide contrast This which only in delayed tasks, is behavioral rewards. most time-sparse, with
This is in contrast with most behavioral tasks, which only provide time-sparse, delayed rewards.
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called A presented. minimalistic cognitive is architecture MANIC
A minimalistic cognitive architecture called MANIC is presented.
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models, requires function machine. only three approximating MANIC one and state architecture The
The MANIC architecture requires only three function approximating models, and one state machine.
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intelligence. of offers a approach objective artificial perspective, long-standing this an From alternate MANIC to
From this perspective, MANIC offers an alternate approach to a long-standing objective of artificial intelligence.
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architecture. analysis a of MANIC provides theoretical paper This the
This paper provides a theoretical analysis of the MANIC architecture.
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tasks content understanding. Image and two classification multimedia fundamental towards retrieval and representation are
Image representation and classification are two fundamental tasks towards multimedia content retrieval and understanding.
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shape (e.g. idea and texture that The information
The idea that shape and texture information (e.g.
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proposed (e.g. computing have A features gradients low-level number by of local been
A number of low-level features have been proposed by computing local gradients (e.g.
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on have applications. achieved SIFT, HOG), LBP and successes great numerous multimedia and
SIFT, LBP and HOG), and have achieved great successes on numerous multimedia applications.
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of by color the contrast regions. distributions \emph{f}-divergence is two The between color computed measuring
The color contrast is computed by measuring \emph{f}-divergence between the color distributions of two regions.
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color descriptor enriches with and both image local representation information. contrast Our
Our descriptor enriches local image representation with both color and contrast information.
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can We that for (e.g. experimentally the strongly it descriptor compensate verified shape based
We verified experimentally that it can compensate strongly for the shape based descriptor (e.g.
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LCCD available. for will be the Codes
Codes for the LCCD will be available.
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of paper twofold. this scope The is
The scope of this paper is twofold.
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properties set by a justifying and it of expands the one. new adding Firstly,
Firstly, it expands the set of properties by adding and justifying a new one.
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of adjusted version is so them. it An that proposed one fulfills index
An adjusted version of one index is proposed so that it fulfills them.
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techniques, also two We rotational convolution introduce i.e.
We also introduce two rotational convolution techniques, i.e.
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encode adding without the extra parameters. two network invariance rotation into techniques These
These two techniques encode rotation invariance into the network without adding extra parameters.
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for more RPC CNNs make and transformations. robust Additionally, FRPC rotation
Additionally, RPC and FRPC make CNNs more robust for rotation transformations.
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Gaussian image-set each model implicitly with distribution. State-of-the-art image-set typically techniques matching a
State-of-the-art image-set matching techniques typically implicitly model each image-set with a Gaussian distribution.
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large TabletGaze of users, labeled tablet first dataset We collected unconstrained Rice the gaze dataset.
We collected the first large unconstrained gaze dataset of tablet users, labeled Rice TabletGaze dataset.
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functional significant (perceptron we obtain using MMBANN. advantages, SOM) Besides, while models and which describe
Besides, we describe functional models (perceptron and SOM) which obtain significant advantages, while using MMBANN.
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miRNA on features relies precursors microRNAs characteristic from (miRNAs) models Discovery (pre-miRNAs). for of predictive
Discovery of microRNAs (miRNAs) relies on predictive models for characteristic features from miRNA precursors (pre-miRNAs).
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by algorithms. (MCMC) Normally, Markov Monte is standard of means done this Carlo chain
Normally, this is done by means of standard Markov chain Monte Carlo (MCMC) algorithms.
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work scene In problem images. the of this address from RGB-D indoor understanding we
In this work we address the problem of indoor scene understanding from RGB-D images.
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variables, systems large-scale spatial contain e.g. study exogenous We that
We study large-scale spatial systems that contain exogenous variables, e.g.
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predictors environmental spatial processes. are that in factors significant
environmental factors that are significant predictors in spatial processes.
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optimization We an procedure develop to hyperplanes. find also the desired
We also develop an optimization procedure to find the desired hyperplanes.
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a conjunction Machine used were Both Vector classifier. (SVM) techniques in with Support
Both techniques were used in conjunction with a Support Vector Machine (SVM) classifier.
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of acids constituting amino the Viral amongst by the constrained capsids interactions proteins. structurally are
Viral capsids are structurally constrained by interactions amongst the amino acids of the constituting proteins.
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We increased has. has epistasis significantly energy that found free but not
We found that free energy has not significantly increased but epistasis has.
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an for predicting Developing is structures. function accurate protein essential scoring successfully
Developing an accurate scoring function is essential for successfully predicting protein structures.
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expect beta-sheet We useful for proteins. to OPUS-Beta in potential be modeling
We expect OPUS-Beta potential to be useful in beta-sheet modeling for proteins.
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variables making Furthermore, the are assumptions, not without strong identifiable. calibration
Furthermore, without making strong assumptions, the calibration variables are not identifiable.
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restricts the systems. real-time their This application in
This restricts their application in the real-time systems.
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dataset that it is The algorithms. competitive FDDB state-of-the-art test results show on with
The test results on FDDB dataset show that it is competitive with state-of-the-art algorithms.
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considerably our algorithms. GPU-based CPU-based all exceeds of speed the approach The detection and existing
The detection speed of our approach considerably exceeds all the existing CPU-based and GPU-based algorithms.
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the of achieved the cascade. asynchronous stages by computation is This in
This is achieved by the asynchronous computation of stages in the cascade.
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Protein-DNA for biological processes. are all crucial interactions
Protein-DNA interactions are crucial for all biological processes.
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Using theoretical we developed question detail. recently a framework this analyze in
Using a recently developed theoretical framework we analyze this question in detail.
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two three have explicitly been Specifically, systems investigated. with and targets
Specifically, systems with two and three targets have been explicitly investigated.
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proportional not However, always the acceleration the number of targets. is to
However, the acceleration is not always proportional to the number of targets.
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explanations of are Physical-chemical results presented. observed
Physical-chemical explanations of observed results are presented.
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Carlo Monte simulations fully Extensive calculations. theoretical our computer support
Extensive Monte Carlo computer simulations fully support our theoretical calculations.
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texture under still an open of is issue. The conditions color varying recognition lighting
The recognition of color texture under varying lighting conditions is still an open issue.
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from preliminary points data. detected the are discrete Next, boundary A-Scans volume of the
Next, preliminary discrete boundary points are detected from the A-Scans of the volume data.
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sensitive KL is it divergence is that known outliers. the However, to
However, it is known that the KL divergence is sensitive to outliers.
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based these seems method For a reduction promising. on dimension developing supervised reasons, LSQMI
For these reasons, developing a supervised dimension reduction method based on LSQMI seems promising.
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demonstrate datasets our on algorithm. three Extensive experiments popular image multiview embedding the of effectiveness
Extensive experiments on three popular image datasets demonstrate the effectiveness of our multiview embedding algorithm.
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analysis. solution validated statistically The using been has statistical proposed by
The proposed solution has been statistically validated by using statistical analysis.
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as expressed contemporary scripts. Most of still AI the is hard-coded
Most of the contemporary AI is still expressed as hard-coded scripts.
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address we this this paper In issue.
In this paper we address this issue.
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of objects the extend concept inspired Behavior object-oriented and programming objects. smart are by
Behavior objects are inspired by object-oriented programming and extend the concept of smart objects.
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we In propose method identification aliases a tackle to this avatar article, this problem.
In this article, we propose a method to tackle this avatar aliases identification problem.
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of optic nerve abnormal (e.g. Segmentation pathologically
Segmentation of pathologically abnormal optic nerve (e.g.
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unpredictable changes glioma) its poses due to additional nerve at challenges optic in locations. shape
optic nerve glioma) poses additional challenges due to changes in its shape at unpredictable locations.
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comparisons, be other using to results methods scales. the presented may pairwise relevant Beyond subjective
Beyond pairwise comparisons, the results presented may be relevant to other methods using subjective scales.
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scale, Keywords: comparisons, intelligence, assessment, inaccuracy, pairwise collective inconsistency. subjective
Keywords: pairwise comparisons, collective intelligence, scale, subjective assessment, inaccuracy, inconsistency.
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re-using datasets. consists object solution pre-trained in generic on detectors A scalable
A scalable solution consists in re-using object detectors pre-trained on generic datasets.
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with parameters. considers three present distribution the paper The modified of exponential extension
The present paper considers modified extension of the exponential distribution with three parameters.
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propose to sample Gibbs posterior from the we generate distribution. Therefore, method also sampling
Therefore, we also propose Gibbs sampling method to generate sample from the posterior distribution.
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illustrative set of has real data been for the considered A study. purpose
A real data set has been considered for illustrative purpose of the study.
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has orientation the substrates on and biomolecules been However, single less arrangement of investigated.
However, the arrangement and orientation of single biomolecules on substrates has been less investigated.
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studies to Molecular positional used interpret distributions. were dynamics observed the
Molecular dynamics studies were used to interpret the observed positional distributions.
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cameras on by other experiments data produce The collected outperforming RGBD techniques. results
The experiments on data collected by RGBD cameras produce results outperforming other techniques.
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extracellular ongoing and spatially- time-varying ($V_e$). of neurons generates The voltage of field a activity
The ongoing activity of neurons generates a spatially- and time-varying field of extracellular voltage ($V_e$).
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interactions" these are but not find small that We "ephaptic negligible.
We find that these "ephaptic interactions" are small but not negligible.
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These suggest MSO influence that results may ephaptic coupling function.
These results suggest that ephaptic coupling may influence MSO function.
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manifolds, them? view Is by it or the preserving them achieved separating while collapsing
Is it achieved by collapsing the view manifolds, or separating them while preserving them?
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layer At view achieved? is invariance which
At which layer is view invariance achieved?
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recognition in effective be images. for to VGGNets still turned out object have
VGGNets have turned out to be effective for object recognition in still images.
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made available. performance the datasets Our are state-of-the-art public models trained achieve on and these
Our trained models achieve the state-of-the-art performance on these datasets and are made public available.
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dictionary. dictionaries a and build: dictionary feature are Two region-based voxel-wise A
Two dictionaries are build: A region-based feature dictionary and a voxel-wise dictionary.
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The dictionaries set level provide to the prior learned knowledge formulation.
The learned dictionaries provide prior knowledge to the level set formulation.
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scores challenge the by metric different results using computed organizers. are evaluated The
The results are evaluated using different metric scores computed by the challenge organizers.
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using is (DCNN) dataset. CASIA-WebFace the convolutional The deep trained network neural
The deep convolutional neural network (DCNN) is trained using the CASIA-WebFace dataset.
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provided. the are on IJB-A experiments dataset Extensive
Extensive experiments on the IJB-A dataset are provided.
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diagrams path learning consider problem structure bow-free of for We acyclic (BAPs). the
We consider the problem of structure learning for bow-free acyclic path diagrams (BAPs).
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present method this using a greedy algorithm. a We score-based problem first for search
We present a first method for this problem using a greedy score-based search algorithm.
14,889
us causal infer to effects. This of lower allows bounds
This allows us to infer lower bounds of causal effects.
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using available R-package. simulated also datasets applications publicly to and We present our real
We also present applications to real and simulated datasets using our publicly available R-package.
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analysis with feature is an Thus, desired. set highly integration of gene selection
Thus, an integration of gene set analysis with feature selection is highly desired.
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must taken that into is account. be The genes interplay basic among requirement
The basic requirement is that interplay among genes must be taken into account.
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regulated tightly The of is eukaryotes. dynamics in transcription gene
The dynamics of gene transcription is tightly regulated in eukaryotes.
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the transcriptional us may help better findings understand principles of regulation. design These
These findings may help us better understand the design principles of transcriptional regulation.
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surface function, a The natural determined metric. a is which provides by potential stability
The surface is determined by a potential function, which provides a natural stability metric.
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systems systems, quite gradient representation, amenable However, rare. to called are this
However, systems amenable to this representation, called gradient systems, are quite rare.
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spherical into angle force This a turn- coordinates. ing is then using converted
This force is then converted into a turn- ing angle using spherical coordinates.
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ligand with through environment is exponential The functions. modeled extracellular diffusion the linear or
The ligand diffusion through the extracellular environment is modeled with linear or exponential functions.
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