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flying monkeys, prediction quantitative bats, tested This be or arboreal in experimentally could cetaceans.
This quantitative prediction could be tested experimentally in flying bats, arboreal monkeys, or cetaceans.
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recognized abnormality. reasons any the abnormalities can Our report of main recognize model and
Our model can recognize abnormalities and report the main reasons of any recognized abnormality.
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central cellular Allosteric at many processes. to sites is regulation distant
Allosteric regulation at distant sites is central to many cellular processes.
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knowledge The a (CNN). prior Network with pre-trained is Convolutional modeled Neural
The prior knowledge is modeled with a pre-trained Convolutional Neural Network (CNN).
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be concept Then the based fine-tuned new on instances. these detector can
Then the concept detector can be fine-tuned based on these new instances.
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cellular have recognized messengers they pathways. also in been signalling important Recently as
Recently they have been also recognized as important messengers in cellular signalling pathways.
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metabolism tissue. of model computational sphingolipid comprehensive We propose in human first
We propose first comprehensive computational model of sphingolipid metabolism in human tissue.
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during with size. organism often development scale generated Biological regeneration patterns and
Biological patterns generated during development and regeneration often scale with organism size.
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Our features plan regeneration in as of model in captures observed experiments. essential body flatworms
Our model captures essential features of body plan regeneration in flatworms as observed in experiments.
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new datasets described We describe two by images humans. with our
We describe our two new datasets with images described by humans.
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using a Amazon were Both the collected datasets crowdsourcing platform. Turk, Mechanical
Both the datasets were collected using Amazon Mechanical Turk, a crowdsourcing platform.
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significantly The contain two more than existing datasets other descriptions datasets. per image
The two datasets contain significantly more descriptions per image than other existing datasets.
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been in Africa. proposed West epidemiological to Multiple have spread models the predict of Ebola
Multiple epidemiological models have been proposed to predict the spread of Ebola in West Africa.
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displacement and strain monitoring engineering. important and an of in fields problem is Reconstruction
Reconstruction and monitoring of displacement and strain fields is an important problem in engineering.
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comprehensive presented. is comparative of photogrammetric and analysis review solutions a literature study, this In
In this study, a comprehensive literature review and comparative analysis of photogrammetric solutions is presented.
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representation. contributions the CNN of makes to two inference video This paper
This paper makes two contributions to the inference of CNN video representation.
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of regularly we with associate its object material. shape As built humans, an
As humans, we regularly associate shape of an object with its built material.
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the a user study. also We of appraise our using output algorithm
We also appraise the output of our algorithm using a user study.
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datasets. proposed method is The evaluated video benchmark using
The proposed method is evaluated using benchmark video datasets.
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using discuss We $X$. check model the how to
We discuss how to check the model using $X$.
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same for the PTA likelihood belonging terrace. trees avoids computations to
PTA avoids likelihood computations for trees belonging to the same terrace.
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sizes Speedups independent correlate amount the on but terrace with data. of are missing
Speedups are independent on terrace sizes but correlate with the amount of missing data.
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Thus, well phylogenomic for PTA analyses. is suited structure data the
Thus, the PTA data structure is well suited for phylogenomic analyses.
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concentrated solution. a This fibrils in when protein highly forms amyloid
This protein forms amyloid fibrils when in a highly concentrated solution.
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of provide simulation, Monte on fibril crowding-induced Carlo scenarios we Based formation.
Based on Monte Carlo simulation, we provide scenarios of crowding-induced fibril formation.
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of microscopy. I image report, introduce correlative this registration In methods for two
In this report, I introduce two methods of image registration for correlative microscopy.
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fiducials on (beads). method first is The based
The first method is based on fiducials (beads).
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is the afterwards to least-squares further matching registration. applied process A refine
A least-squares matching process is applied afterwards to further refine the registration.
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analogies approach. method the second inspired is image by The
The second method is inspired by the image analogies approach.
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into introduce the analogies. representation I sparse model image
I introduce the sparse representation model into image analogies.
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a one. method The problem transforms a to registration mono-modal multi-modal
The method transforms a multi-modal registration problem to a mono-modal one.
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test my Electron approaches (TEM) Transmission microscopy on confocal I and images. Microscopy
I test my approaches on Transmission Electron Microscopy (TEM) and confocal microscopy images.
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the report. of shown are Experimental in results methods this also
Experimental results of the methods are also shown in this report.
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gradient for minimizing stochastic objective functions. methods Classical well suited expected-value are
Classical stochastic gradient methods are well suited for minimizing expected-value objective functions.
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The two iterations the interplay convergence scales. of time with different involves
The convergence involves the interplay of two iterations with different time scales.
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dynamic find wide in SCGD applications proposed estimation, methods etc. The programming, learning,
The proposed SCGD methods find wide applications in learning, estimation, dynamic programming, etc.
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network on create studies this focus Frequently, drive inputs how structure. plasticity theoretical to feedforward
Frequently, theoretical studies focus on how feedforward inputs drive plasticity to create this network structure.
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an image-dependent combining Their metric. construction with distance contrast into spatial information based on is
Their construction is based on combining spatial distance with contrast information into an image-dependent metric.
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information image local hold computing texture. are that In graph about generated amoebas, structures
In computing amoebas, graph structures are generated that hold information about local image texture.
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subject. the directions and extensions out presents future on for It some points investigation
It presents some extensions and points out directions for future investigation on the subject.
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networks by Most based on firing rates. of are models computation neural population
Most models of computation by neural networks are based on population firing rates.
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to approach extended Here, can be the spike-based show plausible networks. biophysically how we
Here, we show how the spike-based approach can be extended to biophysically plausible networks.
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These increase the biological spike-based approach computation. to significantly plausibility the results of network
These results significantly increase the biological plausibility of the spike-based approach to network computation.
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games. paper, we such the targeted of positions this In for problem generating starting address
In this paper, we address the problem of generating targeted starting positions for such games.
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that We approximating is undecidable. optimal show the costs integer cost for
We show that for integer costs approximating the optimal cost is undecidable.
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different several detailed classifiers. experimental descriptors a show We of with evaluation
We show a detailed experimental evaluation of different descriptors with several classifiers.
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well. very experiments that clearly perform they show Our
Our experiments clearly show that they perform very well.
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of Deontic logic branch very mathematical is and philosophy. a researched logic well
Deontic logic is a very well researched branch of mathematical logic and philosophy.
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quite accurate, and model which verify both is we often quantitatively. Our qualitatively
Our model is often quite accurate, which we verify both qualitatively and quantitatively.
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computation. are Neural processing during task study a brain to central cognitive information correlations and
Neural correlations during a cognitive task are central to study brain information processing and computation.
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currently We approaches, detection observe exist quality. families that reaching of similar there all three
We observe that there exist three families of approaches, all currently reaching similar detection quality.
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of the robust estimator kernel popular present a (KDE). version density We
We present a robust version of the popular kernel density estimator (KDE).
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a KDE This scaled yields and (SPKDE). projected
This yields a scaled and projected KDE (SPKDE).
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series. widely in is time Simple forecasting smoothing exponential economic used
Simple exponential smoothing is widely used in forecasting economic time series.
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forecasts. quick compute This generally it delivers because accurate is to it is and
This is because it is quick to compute and it generally delivers accurate forecasts.
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series The for forecasting. be can method used time
The method can be used for time series forecasting.
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Such complex data are are concepts models limited. training may target when advantages and/or have
Such models may have advantages when target concepts are complex and/or training data are limited.
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incorporated the state are long-term when dependencies possible is network nonlinearities Learning into updates.
Learning long-term dependencies is possible when nonlinearities are incorporated into the network state updates.
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that This same of input works technique data the B-scans of consists location. on several
This technique works on input data that consists of several B-scans of the same location.
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tasks. for We performance three all on benchmarks state-of-the-art achieve
We achieve state-of-the-art performance on benchmarks for all three tasks.
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outermost level of taken is simplicity, the graphs into account. For only
For simplicity, only the outermost level of graphs is taken into account.
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systematic the diagnostic of preferences, and "conflict conflict considered. Localization area", bases are generation for
Localization of the "conflict area", diagnostic preferences, and bases for systematic conflict generation are considered.
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are visual networks powerful hierarchies yield models of that features. Convolutional
Convolutional networks are powerful visual models that yield hierarchies of features.
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fast crowd fully paper, propose for segmentation. network this In we (FCNN) neural a convolutional
In this paper, we propose a fast fully convolutional neural network (FCNN) for crowd segmentation.
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attractive it other These segmentation make properties problems. general to image extendable
These attractive properties make it extendable to other general image segmentation problems.
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motion then stage-by-stage filers appearance optimized. pretrained are and jointly and Both filters
Both appearance filters and motion filers are pretrained stage-by-stage and then jointly optimized.
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released be datasets They are to the the largest currently public. and crowd segmentation will
They are currently the largest crowd segmentation datasets and will be released to the public.
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ROSS includes The the language called representational for classes. specification scheme a of "Star" ontology
The ROSS representational scheme includes a language called "Star" for the specification of ontology classes.
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also called a The model". formal method the ROSS scheme "instance includes
The ROSS method also includes a formal scheme called the "instance model".
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area of models the in are natural used situations. to representation language Instance represent meaning
Instance models are used in the area of natural language meaning representation to represent situations.
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for method. ROSS the the and both provides paper This background the rationale philosophical
This paper provides both the rationale and the philosophical background for the ROSS method.
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(CNNs). accelerate convolutional This deep networks test-time computation the to paper neural of aims
This paper aims to accelerate the test-time computation of deep convolutional neural networks (CNNs).
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nonlinear We effective problem. develop optimization to an constrained solution this
We develop an effective solution to this constrained nonlinear optimization problem.
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algorithm approximated. is also reducing An presented error layers for are when accumulated multiple the
An algorithm is also presented for reducing the accumulated error when multiple layers are approximated.
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what But the we should right architecture is use?
But what is the right architecture we should use?
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limited. asynchronous results therefore show Our that is fundamentally reducibility of the networks
Our results therefore show that the reducibility of asynchronous networks is fundamentally limited.
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keypoint identify images from viewpoint. candidates training good We in the multiple first taken same
We first identify good keypoint candidates in multiple training images taken from the same viewpoint.
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this In HPE. for \emph{latent} and propose we clothing a shall paper, explore attribute approach
In this paper, we shall propose and explore a \emph{latent} clothing attribute approach for HPE.
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our show approach. benchmarks on proposed extensive real-world experiments performance two state-of-the-art of Our the
Our extensive experiments on two real-world benchmarks show the state-of-the-art performance of our proposed approach.
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time. significant perceived variations There outcomes over in were
There were significant variations in perceived outcomes over time.
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good went report on group to outcomes. this most Nevertheless ultimately in
Nevertheless most in this group went on to ultimately report good outcomes.
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carers. overall considered so DBS, life Many quality much than more recipients of better following
Many considered overall quality of life much better following DBS, more so recipients than carers.
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varied greatly Post-DBS experiences non-motor cases. between of and motor symptoms both
Post-DBS experiences of both motor and non-motor symptoms varied greatly between cases.
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worse symptoms to show no Some DBS. or reported following be were improvement,
Some symptoms were reported to show no improvement, or be worse following DBS.
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on been Recent with pose estimation Networks achieved has Convolutional Deep performance (ConvNets). human-body state-of-the-art
Recent state-of-the-art performance on human-body pose estimation has been achieved with Deep Convolutional Networks (ConvNets).
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of at reduced benefits cost of come the pooling These localization accuracy.
These benefits of pooling come at the cost of reduced localization accuracy.
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unbounded support. examine possible discrete of with all We cases possibly carefully continuous and variables
We carefully examine all possible cases of discrete and continuous variables with possibly unbounded support.
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wave phenomenon Spreading is a depression in tissue. gray (SD) matter
Spreading depression (SD) is a wave phenomenon in gray matter tissue.
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characterized cell of membranes. Locally, it massive ions across re-distribution by is
Locally, it is characterized by massive re-distribution of ions across cell membranes.
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categorical when mixture numerical observations arise and described a by data Mixed are of variables.
Mixed data arise when observations are described by a mixture of numerical and categorical variables.
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standard package type R to of PCAmixdata extends incorporate analysis this multivariate The data. methods
The R package PCAmixdata extends standard multivariate analysis methods to incorporate this type of data.
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as querying this effectively constraint be thus performed. implemented checking SPARQL Further can and
Further this constraint checking can be implemented as SPARQL querying and thus effectively performed.
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use who entirely. fail i.e., severe Transform, In many more extraction cases, the Hough can
In more severe cases, i.e., many who use the Hough Transform, extraction can fail entirely.
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In propose a this we method these tackles paper, issues. that
In this paper, we propose a method that tackles these issues.
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maps localized. originates connected edge and robust well that This are
This originates connected edge maps that are robust and well localized.
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sp. in the of strings Transfer Synechocystis nucleotide
Transfer of nucleotide strings in the Synechocystis sp.
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an strings. reveals intrinsic It the dynamics transfer of in partly nucleotide
It partly reveals an intrinsic dynamics in the transfer of nucleotide strings.
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with The are thus basic results mobile endowed the structures. on correlation the elements
The mobile elements are thus endowed with the basic results on the correlation structures.
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individual of linear data variables Factor a set. factors relationships between describe provides analysis that
Factor analysis provides linear factors that describe relationships between individual variables of a data set.
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and have achieved Parts in performance Networks Convolutional Models detection. each notable Deformable object
Deformable Parts Models and Convolutional Networks each have achieved notable performance in object detection.
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