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a incomplete interpolation simple is data. noisy First, applied to
First, a simple interpolation is applied to incomplete noisy data.
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we representation. a achieve image present pyramidal To invariance, scale
To achieve scale invariance, we present a pyramidal image representation.
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entitled Visual algorithm Circular FREAK-ORB Odometry We novel present a (CFORB).
We present a novel Visual Odometry algorithm entitled Circular FREAK-ORB (CFORB).
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Two order been remove matches. geometric utilized feature visual descriptor have in to constraints invalid
Two visual geometric constraints have been utilized in order to remove invalid feature descriptor matches.
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These been algorithm. previously constraints Visual utilized have Odometry not in a
These constraints have not previously been utilized in a Visual Odometry algorithm.
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feature transform the convolutional space. structured to to discriminative We activations highly propose another
We propose to transform the structured convolutional activations to another highly discriminative feature space.
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to been that Here and used mathematical epithelia. model we approaches different have review computational
Here we review different mathematical and computational approaches that have been used to model epithelia.
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field imaging. via light captured data input The are
The input data are captured via light field imaging.
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requires This problem that is ill-posed regularization. an
This is an ill-posed problem that requires regularization.
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Our applies or curvature. absolute quadratic to lower algorithm bound optimization
Our lower bound optimization algorithm applies to quadratic or absolute curvature.
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dendritic voltage modulatory Regulation realized on of the by the terminal. tuning was applied integration
Regulation of dendritic integration was realized by tuning the voltage applied on the modulatory terminal.
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brain-inspired for Our neuromorphic a results approach provide new-concept building systems.
Our results provide a new-concept approach for building brain-inspired neuromorphic systems.
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of maps of flow gradient the divergence of the particles. amount the gives The neighboring
The gradient of the flow maps gives the amount of divergence of the neighboring particles.
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(University Florida). central UCF dataset of is crowd of conducted The on experiment the
The experiment is conducted on the crowd dataset of UCF (University of central Florida).
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feasible mRNAs. a made analysis expressed has of set of RNA-seq the whole Motivation:
Motivation: RNA-seq has made feasible the analysis of a whole set of expressed mRNAs.
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references. RNA-seq due reads is infeasible lack of high-quality to of sometimes Mapping-based assembly
Mapping-based assembly of RNA-seq reads sometimes is infeasible due to lack of high-quality references.
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with moderate Further, efficient consumption. is computationally Bermuda memory
Further, Bermuda is computationally efficient with moderate memory consumption.
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Networks performance Challenges ImageNet Convolutional contest. Visual demonstrate Neural high Recognition on Large-Scale
Convolutional Neural Networks demonstrate high performance on ImageNet Large-Scale Visual Recognition Challenges contest.
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show for results Nevertheless, classes. overall image the published performance all the only
Nevertheless, the published results only show the overall performance for all image classes.
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presentation for has path model traditional the model. This than image better single
This model has better presentation for image than the traditional single path model.
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to technique semantic context deep a We segmentation. adding present for global networks convolutional for
We present a technique for adding global context to deep convolutional networks for semantic segmentation.
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example, the concrete consider we multicellularity. a to As transition
As a concrete example, we consider the transition to multicellularity.
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we where of interacting a individuals study isolated model Specifically, stochastic communities (e.g.
Specifically, we study a stochastic model where isolated communities of interacting individuals (e.g.
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a (e.g. cells) individuality higher-order undergo to transition
cells) undergo a transition to higher-order individuality (e.g.
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address framework. in providing method this We implemented by a shortcoming a total-evidence Bayesian
We address this shortcoming by providing a total-evidence method implemented in a Bayesian framework.
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learning? unlabeled visual video How augment can
How can unlabeled video augment visual learning?
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to We feature generalize "steady" to feature analysis analysis. slow propose
We propose to generalize slow feature analysis to "steady" feature analysis.
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shapes. this computing paper, partial propose correspondence non-rigid between In functional for method a we
In this paper, we propose a method for computing partial functional correspondence between non-rigid shapes.
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that very settings. challenging cope our approach with correspondence We can show
We show that our approach can cope with very challenging correspondence settings.
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unnecessary. such jointly, are non-maximum predictions generate as Because common suppression steps post-processing we
Because we generate predictions jointly, common post-processing steps such as non-maximum suppression are unnecessary.
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this a In we et proposed work Bruckstein by confirm al. theory
In this work we confirm a theory proposed by Bruckstein et al.
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brains characters? robustly How our recognize can
How can our brains robustly recognize characters?
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and features are The corners, on. junctions so essential crosses,
The essential features are crosses, corners, junctions and so on.
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These for computer. useful recognition by character features be a may
These features may be useful for character recognition by a computer.
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the difficult. of extraction However, is features
However, extraction of the features is difficult.
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including extract graphs to skeleton and distorted, handwritten We noisy, characters. images achieved from
We achieved to extract skeleton graphs from images including distorted, noisy, and handwritten characters.
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noise concern. its to always a However, and are the sensitivity resolution low
However, its low resolution and sensitivity to the noise are always a concern.
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robustness demonstrates the noise. sufficient It to also
It also demonstrates sufficient robustness to the noise.
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encouraging e.g. upsampling in The maintained case performance of large is the even
The encouraging performance is maintained even in the case of large upsampling e.g.
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game envelopes a host to agent. an The of two indistinguishable presents
The host of a game presents two indistinguishable envelopes to an agent.
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agent. is allocated randomly selected to One of the envelopes and the
One of the envelopes is randomly selected and allocated to the agent.
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of regression statistics of applied analysis involves Most data.
Most of applied statistics involves regression analysis of data.
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presents software This a Bayesian Regression: menu-driven and stand-alone Parametric Models. Nonparametric package, paper and
This paper presents a stand-alone and menu-driven software package, Bayesian Regression: Nonparametric and Parametric Models.
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output by text menu and/or generated other Additional graphical can options. mouse-clicking be
Additional text and/or graphical output can be generated by mouse-clicking other menu options.
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cancer. third most the common cancers Colorectal are of type
Colorectal cancers are the third most common type of cancer.
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inherent are aforementioned modelling generally. biological multiscale of the challenges more tissue Moreover, the to
Moreover, the aforementioned challenges are inherent to the multiscale modelling of biological tissue more generally.
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monocular low cameras. in with cost This presents for a environments method outdoor paper ego-positioning
This paper presents a method for ego-positioning in outdoor environments with low cost monocular cameras.
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facets studied temporal many are phenomena by that have The different communities.
The temporal phenomena have many facets that are studied by different communities.
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data are heterogeneous and produced. large In Web, handled Semantic
In Semantic Web, large heterogeneous data are handled and produced.
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also explicit normalization and incorporates HuTO information. reasoning to certain rules
HuTO also incorporates normalization and reasoning rules to explicit certain information.
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also knowledge HuTO the a which proposes to base an temporal approach dimension content. associates
HuTO also proposes an approach which associates a temporal dimension to the knowledge base content.
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aspect. temporal considering not by information facilitates This retrieval or the
This facilitates information retrieval by considering or not the temporal aspect.
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very thus to useful from estimate the structure be data. It would dependency
It would thus be very useful to estimate the dependency structure from data.
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typical formulation. naturally These not by the Dirichlet-multinomial captured are dependencies
These dependencies are not naturally captured by the typical Dirichlet-multinomial formulation.
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elements mid-level relies construct representation. The a Bag-of-Elements visual to second on retrieved the one
The second one relies on the retrieved mid-level visual elements to construct a Bag-of-Elements representation.
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chapter stereoscopic and in state-of-the-art current future directions describes This the work. cinema, of
This chapter describes the current state-of-the-art in stereoscopic cinema, and directions of future work.
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analysis. organ yet segmentation problem for an important medical is challenging Automatic image
Automatic organ segmentation is an important yet challenging problem for medical image analysis.
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an pancreas abdominal with anatomical organ high is The variability. very
The pancreas is an abdominal organ with very high anatomical variability.
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for learn class of assign ConvNets being Our superpixel each region probabilities pancreas. to
Our ConvNets learn to assign class probabilities for each superpixel region of being pancreas.
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paper but effective simple This bridge to aperture gap. coded a presents solution scene-adaptive this
This paper presents a simple but effective scene-adaptive coded aperture solution to bridge this gap.
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spatial Therefore and propagation a scheme. we temporal adopt partitioning
Therefore we adopt a spatial partitioning and temporal propagation scheme.
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apply in these orientations following sequentially Secondly, with frames. the the scheme coding we proposed
Secondly, we sequentially apply the proposed coding scheme with these orientations in the following frames.
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scheme sampler. MCMC proposed sampling as the the refer We split to
We refer to the proposed sampling scheme as the MCMC split sampler.
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tensor of regression is extension Nonparametric proposed.
Nonparametric extension of tensor regression is proposed.
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Gaussian local we To prior. estimator Bayesian a functions, process the estimate with develop
To estimate local functions, we develop a Bayesian estimator with the Gaussian process prior.
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of histopathological of a evaluation Glomerulus kidneys. step images microscopy in is detection key
Glomerulus detection is a key step in histopathological evaluation of microscopy images of kidneys.
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to encountered. intensities immunohistochemistry extensive Moreover, in due staining of variations are their heterogeneity also
Moreover, extensive variations of their intensities due to heterogeneity in immunohistochemistry staining are also encountered.
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suitable for Finally, variant a of abstract data. computations with noisy the algorithm, we develop
Finally, we develop a variant of the abstract algorithm, suitable for computations with noisy data.
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drawn than from alternate of significantly higher Samples are our quality model approaches.
Samples drawn from our model are of significantly higher quality than alternate approaches.
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It and programmed ImageJ. Java is compatible in with is
It is programmed in Java and is compatible with ImageJ.
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mutations lymphoma, of In in genes proteins frequently are observed. histone modifying
In lymphoma, mutations in genes of histone modifying proteins are frequently observed.
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algorithms. model that improvements over object our yields show We state-of-the-art significant proposal
We show that our model yields significant improvements over state-of-the-art object proposal algorithms.
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is Crowd in step important surveillance many an tasks. flow segmentation video
Crowd flow segmentation is an important step in many video surveillance tasks.
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literature causal between The split non-dualistic and decision evidential theory theory decision theory. decision is
The non-dualistic decision theory literature is split between causal decision theory and evidential decision theory.
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and and important Frequency processes. dependent in ecological fluctuations roles evolutionary play demographic selection
Frequency dependent selection and demographic fluctuations play important roles in evolutionary and ecological processes.
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in reflected even be fluctuations of This environments. should population in the constant size
This should be reflected in fluctuations of the population size even in constant environments.
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population. demographic small stochasticity the In extinction instead lead entire populations, to may of the
In small populations, demographic stochasticity may instead lead to the extinction of the entire population.
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this universal variability? individuals, aforementioned Is the considering across also description
Is this description also universal across individuals, considering the aforementioned variability?
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applications. in Salient detection processing task object become important many image an has
Salient object detection has become an important task in many image processing applications.
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genome-wide neuroanatomy. This set triggered a renaissance in data brain-wide, has
This brain-wide, genome-wide data set has triggered a renaissance in neuroanatomy.
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no However, is available. of cells exhaustive taxonomy brain
However, no exhaustive taxonomy of brain cells is available.
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the of cell yields This on bars types. region-specificity error
This yields error bars on the region-specificity of cell types.
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a novel of for this three-dimensional we paper, images. introduce method In parametric segmentation
In this paper, we introduce a novel parametric method for segmentation of three-dimensional images.
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which describes a of scheme parametric We propose evolution parametric surfaces. the
We propose a parametric scheme which describes the evolution of parametric surfaces.
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is numerical element proposed evolution scheme a of for equations. efficient the An finite approximation
An efficient finite element scheme is proposed for a numerical approximation of the evolution equations.
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paper tracking sequences. problem recognition of addresses aerial image automated and the from vehicle This
This paper addresses the problem of automated vehicle tracking and recognition from aerial image sequences.
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normalization solution which for A working data includes steps is described. extraction and
A working solution which includes steps for data extraction and normalization is described.
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and the are discussed. possible proposed future Directions research of improvements for method
Directions for future research and possible improvements of the proposed method are discussed.
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an adaptive image proposed technique improvement The in reports PSNR. filtering
The proposed adaptive filtering technique reports an improvement in image PSNR.
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enormous rich a There of algorithms. proposing variety literature is an
There is an enormous literature proposing a rich variety of algorithms.
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such algorithms measures. overwhelming of majority The to produce fail
The overwhelming majority of algorithms fail to produce such measures.
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Bayesian place an provide used marginal methods inclusion p-values. of probabilities alternative, with in
Bayesian methods provide an alternative, with marginal inclusion probabilities used in place of p-values.
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advantages, has but impractical beyond variable selection small Bayesian problems. is computationally
Bayesian variable selection has advantages, but is impractical computationally beyond small problems.
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images. is a regression to categorize Finally, scene utilized softmax
Finally, a softmax regression is utilized to categorize scene images.
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the First, the network using factors. units are redefined of centered visible
First, the visible units of the network are redefined using centered factors.
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softmax Finally, scene is recognition. a regression for incorporated
Finally, a softmax regression is incorporated for scene recognition.
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incompletely rules the connectome human the of that topology understood. generative shape The remain
The generative rules that shape the topology of the human connectome remain incompletely understood.
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made and visualizations accessible. have more practical They large-scale
They have made large-scale visualizations practical and more accessible.
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positions Finally, lie the on centerline. precisely are of shape tubular to optimized these the
Finally, the positions of these are optimized to lie precisely on the tubular shape centerline.
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the method. robustness Detailed of our accuracy versatility, and experiments new show
Detailed experiments show the versatility, accuracy and robustness of our new method.
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