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an paper rule augmented issue addresses for of decision with classifiers This data. trained
This paper addresses an issue of decision rule for classifiers trained with augmented data.
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focus. Discussion of data methods augmentation primary our is of not
Discussion of methods of data augmentation is not our primary focus.
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blur done problem. and solving any estimation This explicitly inverse subsequent without is
This is done without explicitly solving any blur estimation and subsequent inverse problem.
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weights can insight representations. provide structure the of model into The neural
The structure of the model weights can provide insight into neural representations.
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the contributing to Often, relationships input-output with sparse, are inputs neural few output. a only
Often, neural input-output relationships are sparse, with only a few inputs contributing to the output.
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structured account into part regularizers to for incorporated fitting such model In sparsity, are optimization.
In part to account for such sparsity, structured regularizers are incorporated into model fitting optimization.
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priors, by model However, interpret to difficult make structured imposing regularizers parameters. it learned can
However, by imposing priors, structured regularizers can make it difficult to interpret learned model parameters.
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sampling. stationary efficient Gibbs to schemes generalizations efficient of relaxation lead Hence, deterministic
Hence, efficient deterministic stationary relaxation schemes lead to efficient generalizations of Gibbs sampling.
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Eye are crucial understanding in scenes. movements complex
Eye movements are crucial in understanding complex scenes.
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learned were via rule. Hebbian generalized weights Place-to-grid a
Place-to-grid weights were learned via a generalized Hebbian rule.
13,809
non-negativity constraint Without the a output to the lattice. square converged
Without the non-negativity constraint the output converged to a square lattice.
13,810
about active been in for research area two has Saliency decades. computer modeling an vision
Saliency modeling has been an active research area in computer vision for about two decades.
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this and basic some models. compare dataset We analyze properties of some successful
We analyze some basic properties of this dataset and compare some successful models.
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implementation are For fixed the iteration. equation numerical integro-differential we a an solving point by
For the numerical implementation we are solving an integro-differential equation by a fixed point iteration.
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second performance must efficiency and The be balanced. scenario
The second scenario performance and efficiency must be balanced.
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transmission, processing always presents acquisition, image images is Noise and coding, during digital steps. in
Noise is always presents in digital images during image acquisition, coding, transmission, and processing steps.
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this of various express models. noise paper, overview In we brief a
In this paper, we express a brief overview of various noise models.
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noise be their analysis by of These models origin. can selected
These noise models can be selected by analysis of their origin.
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The fast-to-calculate method shapes. a Hausdorff fractal to complexity has estimate of dimension been fractal
The Hausdorff fractal dimension has been a fast-to-calculate method to estimate complexity of fractal shapes.
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propose this for descriptor recognition. a study, novel visual scene In we place
In this study, we propose a novel scene descriptor for visual place recognition.
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We network neural sparse for a designed three-dimensional have implemented data. processing input convolutional
We have implemented a convolutional neural network designed for processing sparse three-dimensional input data.
13,820
have cuts-based success many in minimization achieved vision great computer for energy Graph algorithms applications.
Graph cuts-based algorithms have achieved great success in energy minimization for many computer vision applications.
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approach. solutions via energy approximated for These multi-label functions provide algorithms move-making
These algorithms provide approximated solutions for multi-label energy functions via move-making approach.
13,822
approach This solution lower-energy with generate proposal fuses the to current a a solution.
This approach fuses the current solution with a proposal to generate a lower-energy solution.
13,823
is proposals necessary for the move-making appropriate generating the success approach. of the Thus,
Thus, generating the appropriate proposals is necessary for the success of the move-making approach.
13,824
and approach generate application-independent In "good" proposals. an to energy-based this paper, propose we
In this paper, we propose an application-independent and energy-based approach to generate "good" proposals.
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is effective classes Extensive of functions. across energy different experiments our generation support proposal that
Extensive experiments support that our proposal generation is effective across different classes of energy functions.
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real algorithm The on and others proposed both synthetic outperforms problems.
The proposed algorithm outperforms others both on real and synthetic problems.
13,827
made the direction Several have approaches been detection. in face of
Several approaches have been made in the direction of face detection.
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a robust Haar-like is features method method. based them, Among
Among them, Haar-like features based method is a robust method.
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work with - of spite In limitations. features the robustness, like some Haar
In spite of the robustness, Haar - like features work with some limitations.
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to instance-level ordering. It aims segmentation predict and depth accurate
It aims to predict accurate instance-level segmentation and depth ordering.
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One-against-one method adopted classification these is using features.
One-against-one classification method is adopted using these features.
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show databases the system. expression on and facial the Experiments proposed effectiveness JAFFE CK+ of
Experiments on CK+ and JAFFE facial expression databases show the effectiveness of the proposed system.
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available. and Several estimation routines simulation for are
Several routines for simulation and estimation are available.
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of function. the the based empirical matching Estimation the theoretical on with is autocorrelation
Estimation is based on the matching of the empirical with the theoretical autocorrelation function.
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Lamellipodium Based of Filament this (FBLM). work in treatment Model numerical We the describe the
We describe in this work the numerical treatment of the Filament Based Lamellipodium Model (FBLM).
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two space. dimensional Lagrange-Hermite It of dimensional over composite two is defined elements comprised
It is comprised of composite Lagrange-Hermite two dimensional elements defined over two dimensional space.
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in-vitro also novel experiments moving numerical present We compare and of cells. simulations to
We also present novel numerical simulations and compare to in-vitro experiments of moving cells.
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is feature or extraction manual required. No preprocessing step
No preprocessing step or manual feature extraction is required.
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available developed we descriptors. hand-crafted utilize for can enhancing techniques feature Thus
Thus we can utilize available feature enhancing techniques developed for hand-crafted descriptors.
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improved Our results experimental performance. on significantly recognition datasets action benchmark show four
Our experimental results on four benchmark action recognition datasets show significantly improved performance.
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of novel framework hybrid involves facial patches. active approach features The from proposed a extracting
The proposed framework involves a novel approach of extracting hybrid features from active facial patches.
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time an development of on depends its structural The complexity. organism
The development time of an organism depends on its structural complexity.
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complexity. is structural built in of potential The functionality
The potential of functionality is built in structural complexity.
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An limited limited animal longevity complexity. has it has structural because
An animal has limited longevity because it has limited structural complexity.
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complexity structural of species. and a are survival essential longevity for Limited limited the
Limited structural complexity and limited longevity are essential for the survival of a species.
13,846
a ontology knowledge sociocultural paper presents modeling (OntoSOC) approach. This
This paper presents a sociocultural knowledge ontology (OntoSOC) modeling approach.
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Human approach (HAT). Theory modeling Activity based is on OntoSOC Engestrom
OntoSOC modeling approach is based on Engestrom Human Activity Theory (HAT).
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concepts allowed relationships and between Theory fundamental to them. identify That us
That Theory allowed us to identify fundamental concepts and relationships between them.
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differents top-down The define been sub-concepts. used has precess to
The top-down precess has been used to define differents sub-concepts.
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algorithms dynamic nature. PTZ difficulty tracking from in evaluating The arises their
The difficulty in evaluating PTZ tracking algorithms arises from their dynamic nature.
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online. be type of tracking only can performed This
This type of tracking can only be performed online.
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this new PTZ In paper, a a camera. we framework propose virtual on based evaluation
In this paper, we propose a new evaluation framework based on a virtual PTZ camera.
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the setting synaptic the best for weight). possible
the best possible setting for the synaptic weight).
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sampling of all Synaptic four experimental support. makes some which predictions, have
Synaptic sampling makes four predictions, all of which have some experimental support.
13,855
it the more LTP a change the is, variable protocols. synapse should First more during
First the more variable a synapse is, the more it should change during LTP protocols.
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should presynpatic increase Second, rate firing falls. variability as the
Second, variability should increase as the presynpatic firing rate falls.
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variance mean. to PSP Third, PSP should be proportional
Third, PSP variance should be proportional to PSP mean.
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with soma. Fourth, from variability distance increase should the cell
Fourth, variability should increase with distance from the cell soma.
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non-redundant between study of We graded sets if-then of attributes. rules describing dependencies properties particular
We study properties of particular non-redundant sets of if-then rules describing dependencies between graded attributes.
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smartphone. for tablet computer a or unlocking
for unlocking a tablet computer or smartphone.
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acquisition processing step segmentation, first after i.e. The is fingerprint image
The first processing step after fingerprint image acquisition is segmentation, i.e.
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a repair, Misrepair. abnormality defective a links This the defective also development and
This abnormality links also a defective development and a defective repair, the Misrepair.
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for maintaining of Mis-reconstructions, Misrepairs, the result tissues/organs. of Aging the is a structure
Aging is a result of Mis-reconstructions, the Misrepairs, for maintaining the structure of tissues/organs.
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essential processes construction aging-like Mis- the (Misrepair) development for are and Mis-reconstruction of feathers. the
Mis- construction and Mis-reconstruction (Misrepair) are the essential processes for the development of aging-like feathers.
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of may components comprehensive examine We important two aid understanding that processes. crucially neurodynamical said
We examine two important components that may crucially aid comprehensive understanding of said neurodynamical processes.
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mathematical mechanism we the show finding solutions. this Using that models accelerates right
Using mathematical models we show that this mechanism accelerates finding the right solutions.
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i.e. synaptic we The structural is that plasticity, factor incorporate second
The second factor that we incorporate is structural synaptic plasticity, i.e.
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optimal reach that solutions. suffice not Hebbian to show learning does We alone
We show that Hebbian learning alone does not suffice to reach optimal solutions.
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of networks, resulting connected fully the to In subsets topologies components. converge
In the resulting networks, topologies converge to subsets of fully connected components.
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costs on although reduces the Imposing synapses the of number robust. connectivity, components remains connected
Imposing costs on synapses reduces the connectivity, although the number of connected components remains robust.
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adaptive Markov A Monte algorithm chain Carlo is novel presented.
A novel adaptive Markov chain Monte Carlo algorithm is presented.
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structure a estimates the Further, correlation density partial that proposed. of algorithm an is
Further, an algorithm that estimates the partial correlation structure of a density is proposed.
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two with method empirical for examples. compared is adaption The regular covariance
The method is compared with regular empirical covariance adaption for two examples.
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happiness reinforcement What is agents? learning for
What is happiness for reinforcement learning agents?
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a satisfying of definition We a desiderata. seek formal list
We seek a formal definition satisfying a list of desiderata.
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is definition i.e. difference proposed error, the Our happiness temporal of
Our proposed definition of happiness is the temporal difference error, i.e.
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our of compatible humans. on This is with and desiderata research satisfies most empirical definition
This definition satisfies most of our desiderata and is compatible with empirical research on humans.
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discuss state implications examples. and We several
We state several implications and discuss examples.
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expansion, of ability increasing Intelligence an therefore, sense-making. means
Intelligence expansion, therefore, means an increasing ability of sense-making.
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SSs present. estimation rough where the and of locations a potential non-selective This the is
This is a rough and non-selective estimation of the locations where the potential SSs present.
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extraction parallel local flow pathway. selective executed in the another Secondly, along of is feature
Secondly, another flow of local feature extraction is executed in parallel along the selective pathway.
13,882
of The features size model objects. is to proposed and invariant
The proposed model is invariant to size and features of objects.
13,883
task unsuitability overall for analysed Colour-based models their and are is summarised. this
Colour-based models are analysed and their overall unsuitability for this task is summarised.
13,884
but weights determined, analytically cannot also output be only transferrable. The network
The network output weights cannot only be analytically determined, but also transferrable.
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a propose referred multiple model also Extensively, views, as MvEDA. of we
Extensively, we also propose a model of multiple views, referred as MvEDA.
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for these research. applications of of active is Development algorithms an field
Development of algorithms for these applications is an active field of research.
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insufficient. availability However, database algorithms such standard of is validate to
However, availability of standard database to validate such algorithms is insufficient.
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paper Infra-Red creation database of discusses under illumination. Near (NIR) This the such created a
This paper discusses the creation of such a database created under Near Infra-Red (NIR) illumination.
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driven trains. plasticity usually is In systems, neural spike by synaptic
In neural systems, synaptic plasticity is usually driven by spike trains.
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the variability influences trains spike of how remains efficacy variability unclear. the However,
However, how the variability of spike trains influences the efficacy variability remains unclear.
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for still indicates personal authentication. fingerprints that biometric Market popular are research most the modality
Market research indicates that fingerprints are still the most popular biometric modality for personal authentication.
13,892
of new (e.g. modalities Even onset the with
Even with the onset of new modalities (e.g.
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the digits) human hand sections, of structure.
sections, digits) of the human hand structure.
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not infrastructure iris) is possible or economical to limits. due
iris) is not possible due to economical or infrastructure limits.
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network. semantic a We segmentation deconvolution learning by propose novel algorithm a
We propose a novel semantic segmentation algorithm by learning a deconvolution network.
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a We complementary discovery as the processes: tracking. of combination and problem formulate two
We formulate the problem as a combination of two complementary processes: discovery and tracking.
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for We variety nearest baseline captioning. a image of neighbor explore approaches
We explore a variety of nearest neighbor baseline approaches for image captioning.
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attribute of We to propose discover meaning. shades
We propose to discover shades of attribute meaning.
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