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feature satisfactorily No types of state-of-the-art transformations. image image works all detector under
No state-of-the-art image feature detector works satisfactorily under all types of image transformations.
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provide new feature The of into obtained detectors. behaviour results insights the
The results obtained provide new insights into the behaviour of feature detectors.
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bandit optimization under model. consider problem stochastic a we of paper, feedback the this In
In this paper, we consider the problem of stochastic optimization under a bandit feedback model.
15,602
the Solomonoff agent reinforcement answers and proposed induction question. this to AIXI learning are
Solomonoff induction and the reinforcement learning agent AIXI are proposed answers to this question.
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is illustrated applications. inpainting representation new with denoising This and
This new representation is illustrated with denoising and inpainting applications.
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in highlight use the color restoration results the of information. image of appropriate Therefore interest
Therefore results in image restoration highlight the interest of the appropriate use of color information.
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refinement. a graph Laplacian model for saliency regularized Finally, we present regression nonlinear
Finally, we present a graph Laplacian regularized nonlinear regression model for saliency refinement.
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comparison our the demonstrate state-of-the-art Experimental results approach in approaches. of with effectiveness the
Experimental results demonstrate the effectiveness of our approach in comparison with the state-of-the-art approaches.
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we this modeling. general a In to Bayesian robust paper develop approach
In this paper we develop a general approach to robust Bayesian modeling.
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well the structures recent coffee with These of qualitative accord history the disease. rust
These qualitative structures accord well with the recent history of the coffee rust disease.
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Examples presented theory applications. are and to the illustrate
Examples are presented to illustrate the theory and applications.
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particular. towards These formation have supercomplex important implications in discoveries bacterial putative in OXPHOS new
These new discoveries have important implications towards putative supercomplex formation in bacterial OXPHOS in particular.
15,611
We estimation high and density present for list- tree- structured methods data. dimensional binary/categorical
We present tree- and list- structured density estimation methods for high dimensional binary/categorical data.
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are histograms. density estimation dimensional analogies to variable bin high width models Our
Our density estimation models are high dimensional analogies to variable bin width histograms.
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however, our higher easily can. visualized be in models whereas dimensions, cannot Histograms,
Histograms, however, cannot easily be visualized in higher dimensions, whereas our models can.
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Our high-dimensional histograms. unlike models are sparse,
Our models are sparse, unlike high-dimensional histograms.
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main has of for to characteristics semantic actions. specifics embedding Our three accommodate the
Our semantic embedding has three main characteristics to accommodate for the specifics of actions.
15,616
objects. propose to a mechanism of descriptions First, multiple-word actions exploit and we
First, we propose a mechanism to exploit multiple-word descriptions of actions and objects.
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Second, responsive action. automated selection incorporate of objects we the most the per
Second, we incorporate the automated selection of the most responsive objects per action.
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approach. Experiments of potential four action on the datasets demonstrate our
Experiments on four action datasets demonstrate the potential of our approach.
15,619
severely of ADPKD cysts. the non-uniform of formation the to shape due alters kidneys
ADPKD severely alters the shape of the kidneys due to non-uniform formation of cysts.
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challenging. segmentation consequence, very fully of such is a kidneys As automatic
As a consequence, fully automatic segmentation of such kidneys is very challenging.
15,621
with We present forest random classifier. a a interaction based on minimal method user segmentation
We present a segmentation method with minimal user interaction based on a random forest classifier.
15,622
a way. faces render In in this paper, to aim aging we personalized automatically
In this paper, we aim to automatically render aging faces in a personalized way.
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the learning taken into in factors process. dictionary are two consideration Moreover,
Moreover, two factors are taken into consideration in the dictionary learning process.
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characteristics, dictionaries, personalized First, extra have may e.g. aging beyond subject each the facial
First, beyond the aging dictionaries, each subject may have extra personalized facial characteristics, e.g.
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which process. mole, invariant are the in aging
mole, which are invariant in the aging process.
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A generalized distributions, i.e. model for multivariate is developed spherical flexible
A flexible model is developed for multivariate generalized spherical distributions, i.e.
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star level are shaped. ones with that sets
ones with level sets that are star shaped.
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gensphere. implemented an R These techniques in package are
These techniques are implemented in an R package gensphere.
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GLASSES: optimisation and Look-Ahead We with Stochastic Expected-loss Search. Global Simulation through present
We present GLASSES: Global optimisation with Look-Ahead through Stochastic Simulation and Expected-loss Search.
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novel the of GLASSES, the consideration of algorithm, Our permits into dozens future. evaluations
Our novel algorithm, GLASSES, permits the consideration of dozens of evaluations into the future.
15,631
of order fractal paintings Jackson We degree dimension}. the of using \emph{Hausdorff-Besicovitch twenty-two Pollock's report
We report the degree of order of twenty-two Jackson Pollock's paintings using \emph{Hausdorff-Besicovitch fractal dimension}.
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identify a as fractal-order transition. this behavior We
We identify this behavior as a fractal-order transition.
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characterize fractal \emph{Teri's spectrum, the We Find}. its called also by
We also characterize by its fractal spectrum, the called \emph{Teri's Find}.
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the is differential semantic The evaluated tests. of performance with help of (SD) methods the
The performance of the methods is evaluated with the help of semantic differential (SD) tests.
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viruses endocytosis a binding Influenza the enter via to after surface. cell
Influenza viruses enter a cell via endocytosis after binding to the surface.
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with this along studies conducted. other also policies involving are Simulation
Simulation studies involving this along with other policies are also conducted.
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high-dimensional new data. is method The to applicable
The new method is applicable to high-dimensional data.
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with mean inference approximation. solutions based on field variational Clustering are
Clustering solutions are based on variational inference with mean field approximation.
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and contains Our paragraph hierarchical a a framework generator. sentence generator
Our hierarchical framework contains a sentence generator and a paragraph generator.
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The generator short produces interval. describes that one simple a video short specific sentence sentence
The sentence generator produces one simple short sentence that describes a specific short video interval.
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exploits It both to selectively visual temporal- focus during spatial-attention on generation. mechanisms and elements
It exploits both temporal- and spatial-attention mechanisms to selectively focus on visual elements during generation.
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TACoS-MultiLevel. benchmark two on and datasets: YouTubeClips We evaluate approach our large-scale
We evaluate our approach on two large-scale benchmark datasets: YouTubeClips and TACoS-MultiLevel.
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that analyze to show present separations. also protein used be We can the domain mGNM
We show that the present mGNM can also be used to analyze protein domain separations.
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showcase the of simulation our mANM ability motions. protein of we for collective Finally, the
Finally, we showcase the ability of our mANM for the simulation of protein collective motions.
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recognition face Such performance used can predict to be a a the of model system.
Such a model can be used to predict the performance of a face recognition system.
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(SfM) relies on feature Structure-from-motion tracking. largely
Structure-from-motion (SfM) largely relies on feature tracking.
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for robustly contribute segment-based algorithm effective an SfM handling we large In addition, coarse-to-fine datasets.
In addition, we contribute an effective segment-based coarse-to-fine SfM algorithm for robustly handling large datasets.
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video of demonstrate on the the system. results data challenging effectiveness Experimental proposed
Experimental results on challenging video data demonstrate the effectiveness of the proposed system.
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representation of boosts This and performance the classification enriches less-represented classes. the
This boosts the classification performance and enriches the representation of less-represented classes.
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evaluate and datasets, SIFTflow on two LMSun. our system large-scale We
We evaluate our system on two large-scale datasets, SIFTflow and LMSun.
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and SIFTflow the dataset on performance We results achieve state-of-the-art near-record on LMSun.
We achieve state-of-the-art performance on the SIFTflow dataset and near-record results on LMSun.
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Vehicle important ITS (Intelligent Traffic elements in one information is of the System). color
Vehicle color information is one of the important elements in ITS (Intelligent Traffic System).
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using vehicle (CNN). method present convolutional this we color network In neural recognition a paper,
In this paper, we present a vehicle color recognition method using convolutional neural network (CNN).
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test vehicle dataset method, To color by publicly we use provided Chen. our recognition
To test our method, we use publicly vehicle color recognition dataset provided by Chen.
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estimate in algorithm depth video scenes. an present dynamic We to
We present an algorithm to estimate depth in dynamic video scenes.
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into spatio-temporal We video regions. by a decomposing start
We start by decomposing a video into spatio-temporal regions.
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maps. perform consistent to obtain smoothing we temporally Subsequently, temporal depth
Subsequently, we perform temporal smoothing to obtain temporally consistent depth maps.
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by the We abridged tables life use provided WHO.
We use the abridged life tables provided by WHO.
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the state more function theory have apply to We and estimates health also comparisons.
We also apply the health state function theory to have more estimates and comparisons.
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improved the in for results The recent cases. estimates majority of years the WHO suggest
The results suggest improved WHO estimates in recent years for the majority of the cases.
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now measured experimentally many mammalian been regions activity has in Coherent of cortex.
Coherent activity has now been measured experimentally in many regions of mammalian cortex.
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to explain limited This has ability neuronal responses. graded their
This has limited their ability to explain graded neuronal responses.
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called (SGSCs). these synfire synfire-gated circuits We chains
We called these circuits synfire-gated synfire chains (SGSCs).
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Markov field We pairwise in a learn (MRF) boundaries random occlusion framework.
We learn occlusion boundaries in a pairwise Markov random field (MRF) framework.
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in remove temporal to inconsistencies temporally estimation. occlusion Then, we smooth boundaries boundary
Then, we temporally smooth boundaries to remove temporal inconsistencies in occlusion boundary estimation.
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In attention efforts. critical take at chapter, we recent this look modeling a
In this chapter, we take a critical look at recent attention modeling efforts.
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to contours Active output results are MRF boost as seeds. used using
Active contours are used to boost results using MRF output as seeds.
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study Diploglossus is used. subject lizard millepunctatus the As
As study subject the Diploglossus millepunctatus lizard is used.
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image (e.g. between features relationship quality the model We
We model the relationship between image quality features (e.g.
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performance recognition density a function. measures probability and using
and recognition performance measures using a probability density function.
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of importance. determining someone For first impressions are of people
For people first impressions of someone are of determining importance.
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information. are further They hard through to alter
They are hard to alter through further information.
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This if the a question the reach begs same computer judgement. can
This begs the question if a computer can reach the same judgement.
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introduce analysis this for complexes. acid work, FRI we protein-nucleic flexibility the In of
In this work, we introduce FRI for the flexibility analysis of protein-nucleic acid complexes.
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paper, we finite to a dependency adjust on propose estimates framework samples. measure this In
In this paper, we propose a framework to adjust dependency measure estimates on finite samples.
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recruitment. dependent survival we stochastic can of Moreover, density impacts adult dampen show
Moreover, we show density dependent adult survival can dampen impacts of stochastic recruitment.
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Thus, and adult may variability food recruitment regulating by population compensatory simultaneously alter fluctuations survival.
Thus, food variability may alter population fluctuations by simultaneously regulating recruitment and compensatory adult survival.
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computational reviews recent of chapter This visual models attention.
This chapter reviews recent computational models of visual attention.
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outstanding proposed The benchmarks. state-of-the-art tracking compared algorithm performance methods with illustrates existing in
The proposed algorithm illustrates outstanding performance compared with state-of-the-art methods in existing tracking benchmarks.
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to subject control ensure order safety. quality Airbags passengers are strict to in
Airbags are subject to strict quality control in order to ensure passengers safety.
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aggregated developed using aggregation (e.g. approaches be features These local can for features local
These local features can be aggregated using aggregation approaches developed for local features (e.g.
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providing powerful global thus descriptors. Fisher vectors), new
Fisher vectors), thus providing new powerful global descriptors.
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risk e.g. is and overfitting when has This little bears few of efficient, method parameters,
This method is efficient, has few parameters, and bears little risk of overfitting when e.g.
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considerably. benchmarks descriptor four on new the compact Overall, common state-of-the-art the improves global
Overall, the new compact global descriptor improves the state-of-the-art on four common benchmarks considerably.
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regulatory of blockade Recently, (i.e. molecules the negative
Recently, the blockade of negative regulatory molecules (i.e.
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allows T model to enhance antitumor to evaluate us responses. order This cell in strategies
This model allows us to evaluate strategies in order to enhance antitumor T cell responses.
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the strategy of immunotherapy. a provides model effects therapeutic Our maximizing combination for rational cancer
Our model provides a rational combination strategy for maximizing the therapeutic effects of cancer immunotherapy.
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the these over persistence lifespan. modules stability concerns question of human and important the An
An important question concerns the persistence and stability of these modules over the human lifespan.
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exhibits age-dependent composition also scale-specific and Module changes.
Module composition also exhibits scale-specific and age-dependent changes.
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the most At are the associated regions fine network. flexible scales with mode default
At fine scales the most flexible regions are associated with the default mode network.
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this answering questions. we the In problem of analogy study paper, visual
In this paper, we study the problem of answering visual analogy questions.
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argument. via algorithm a spectral It consistency the of the clustering standard implies perturbation
It implies the consistency of the spectral clustering algorithm via a standard perturbation argument.
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applying spectral A study denoising the of numerical necessity indicates a simple algorithms. before step
A simple numerical study indicates the necessity of a denoising step before applying spectral algorithms.
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when fragmented was the mycelial network further perturbed. RUs
RUs fragmented further when the mycelial network was perturbed.
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deficiencies problems GeoTutor in matter. provide the that can subject student address personalized practice
GeoTutor can provide personalized practice problems that address student deficiencies in the subject matter.
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rapid marked development by is of Adolescence executive function.
Adolescence is marked by rapid development of executive function.
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unknown. and how Yet, adolescence is these contribute evolve to over development dynamics cognitive
Yet, how these dynamics evolve over adolescence and contribute to cognitive development is unknown.
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Indeed, increasingly adulthood. toward flexibility performance is early for advantageous
Indeed, flexibility is increasingly advantageous for performance toward early adulthood.
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