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be this arbitrarily to by that Bayes enlarging optimal can obtained Decisions are network. close
Decisions that are arbitrarily close to Bayes optimal can be obtained by enlarging this network.
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with a is cerebellar-like of a particle analog architecture. neural filter Bayesian This
This is a neural analog of a Bayesian particle filter with cerebellar-like architecture.
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is of problem associated from data. high-dimensional The classification one statistical
The associated statistical problem is one of classification from high-dimensional data.
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representations the various and cues. concepts attempt visual capture learned combination to The of
The learned representations attempt to capture the combination of various visual concepts and cues.
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for fractals. dimensional work novel real-time introduces This a two of transformations tool interactive, IFS
This work introduces a novel tool for interactive, real-time transformations of two dimensional IFS fractals.
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and grounds of the tool software give theoretical application. then We the
We give theoretical grounds of the tool and then the software application.
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the in In study we appearance-based this wild. estimation work gaze
In this work we study appearance-based gaze estimation in the wild.
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more significantly is respect to illumination. Our existing dataset ones variable with appearance and than
Our dataset is significantly more variable than existing ones with respect to appearance and illumination.
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from obstacles. of shortest algorithm addresses finding avoiding source problem path Path to destination finding
Path finding algorithm addresses problem of finding shortest path from source to destination avoiding obstacles.
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optimization. algorithms Dijkstra's ant colony A*, namely search various There exist and
There exist various search algorithms namely A*, Dijkstra's and ant colony optimization.
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essential in location part applications. gaming become The can network, based, algorithm proposed
The proposed algorithm can become essential part in location based, network, gaming applications.
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Intelligence. mobile traversal, Artificial robot gaming navigation, applications, and grid
grid traversal, navigation, gaming applications, mobile robot and Artificial Intelligence.
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the any aim we sampling at step. More specifically posteriors, avoiding with close-form achieving inference
More specifically we aim at achieving the inference with close-form posteriors, avoiding any sampling step.
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sampling, focus highly avoid exact Carlo convergence To demanding and on we inference. issues Monte
To avoid convergence issues and highly demanding Monte Carlo sampling, we focus on exact inference.
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sampling any aim with step. we posteriors, achieving at the close-form More specifically avoiding inference
More specifically we aim at achieving the inference with close-form posteriors, avoiding any sampling step.
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graphs we To mixtures of set aim, restrict this of trees. to the considered spanning
To this aim, we restrict the set of considered graphs to mixtures of spanning trees.
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two consists proposed The method stages. of
The proposed method consists of two stages.
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noise (DMF) Filter stage base The Decision removal preliminary as acts algorithm. Median first the
The first stage Decision base Median Filter (DMF) acts as the preliminary noise removal algorithm.
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as Ecosystems interacting commonly conceptualized are networks of species.
Ecosystems are commonly conceptualized as networks of interacting species.
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allows direction. from the This problem" "species formalism approaching opposite the
This formalism allows approaching the "species problem" from the opposite direction.
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diverse discussed. theoretical is The describing ecosystems for highly construct of natural relevance this
The relevance of this theoretical construct for describing highly diverse natural ecosystems is discussed.
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have over last driving Systems the safer made (ADAS) Advanced Assistance decade. Driver
Advanced Driver Assistance Systems (ADAS) have made driving safer over the last decade.
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a this anticipate we occur. few they before seconds driving work In maneuvers
In this work we anticipate driving maneuvers a few seconds before they occur.
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to Input-Output alongwith information We model an propose contextual the Autoregressive the HMM maneuvers.
We propose an Autoregressive Input-Output HMM to model the contextual information alongwith the maneuvers.
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human machine intelligence can Whether the issue. the is intelligence a surpass controversial
Whether the machine intelligence can surpass the human intelligence is a controversial issue.
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whole-body navigation. unclear BMI whether ensembles is However, a operate cortical could it for
However, it is unclear whether cortical ensembles could operate a BMI for whole-body navigation.
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paper, one from interpret to aim scenes indoor RGBD image. we this In
In this paper, we aim to interpret indoor scenes from one RGBD image.
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connection need! all An they is Internet
An Internet connection is all they need!
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lactate is acids. and and Low abundance high characterized diversity, of by lactobacilli, amino relative
Low diversity, and high relative abundance of lactobacilli, is characterized by lactate and amino acids.
13,428
Near-Online present another we Tracking As Multi-target (NOMT) algorithm. contribution, a
As another contribution, we present a Near-Online Multi-target Tracking (NOMT) algorithm.
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on datasets. challenging run and comprehensive tracking two evaluation We datasets, experimental KITTI a MOT
We run a comprehensive experimental evaluation on two challenging tracking datasets, KITTI and MOT datasets.
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To efficiency, is steps. improve Newton-Raphson employed also algorithm the search in local
To improve the efficiency, Newton-Raphson algorithm is also employed in local search steps.
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to resolve is Conformal the solving instability numerical used classical equations. mapping geodesic associated with
Conformal mapping is used to resolve numerical instability associated with solving the classical geodesic equations.
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local by are numerically constructed under Geodesic using approximation. conformal mapping quadratic flows
Geodesic flows under conformal mapping are constructed numerically by using local quadratic approximation.
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a is approximation. Gaussian The copula using marginal adjustment approach extended
The marginal adjustment approach is extended using a Gaussian copula approximation.
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method examples. is This illustrated with several
This method is illustrated with several examples.
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organ important diagnosis computer-aided systems. for an segmentation is many Automatic prerequisite
Automatic organ segmentation is an important prerequisite for many computer-aided diagnosis systems.
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based method image of hierarchical on coarse-to-fine local regions The (superpixels). classification is
The method is based on hierarchical coarse-to-fine classification of local image regions (superpixels).
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abdominal Clustering Superpixels Simple Iterative extracted region using (SLIC). are from the Linear
Superpixels are extracted from the abdominal region using Simple Linear Iterative Clustering (SLIC).
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can't rendering. the real-time it complexity, requirement of reach of the Because high computation
Because of the high computation complexity, it can't reach the requirement of real-time rendering.
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discuss the technique. further of We applications
We discuss further applications of the technique.
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of a high-resolution reach most those in As imaging remains the result, consumers. beyond spectrum
As a result, high-resolution imaging in those spectrum remains beyond the reach of most consumers.
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image is reconstruction from these measurements. the computational A algorithm to coded then used recover
A computational reconstruction algorithm is then used to recover the image from these coded measurements.
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Furthermore, methods and two state-of-the-art outperform complementary combined. the are previous significantly when
Furthermore, two methods are complementary and significantly outperform the previous state-of-the-art when combined.
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levels This the affected may of moderate and be in of noise. estimate presence severe
This estimate may be affected in the presence of moderate and severe levels of noise.
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values is variable the of Nonetheless, the task. of crisp a exact, determination context hard
Nonetheless, the determination of exact, crisp values of the context variable is a hard task.
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this we novel for methods paper, determination. that propose two fuzzy using approaches In
In this paper, we propose two novel methods using fuzzy approaches for that determination.
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the given to example methods. the is of illustrate uses proposed A numerical
A numerical example is given to illustrate the uses of the proposed methods.
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analysis fish visual abundance increasing with attention. estimation aid Non-extractive drawn the has of
Non-extractive fish abundance estimation with the aid of visual analysis has drawn increasing attention.
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autonomous Ensuring difficult. is that and both complex work ethically systems
Ensuring that autonomous systems work ethically is both complex and difficult.
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a vital Retrieval System. a playing is role as part CBIR of Image Trademark
Trademark Image Retrieval is playing a vital role as a part of CBIR System.
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carries status because is Trademark company. it of great any value the of significance
Trademark is of great significance because it carries the status value of any company.
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it nature further matching manually. challenging features imprecise to of This makes choose
This imprecise nature of matching further makes it challenging to choose features manually.
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on The well function is cross-domain as loss within-domain the defined similarities. as the
The loss function is defined on the within-domain as well as the cross-domain similarities.
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is performance a gain computational in in Situations discussed. which are expected,
Situations in which a gain in computational performance is expected, are discussed.
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Richard's mathematics are and medicine statistics their and interests research in and to applications biology.
Richard's research interests are in statistics and mathematics and their applications to medicine and biology.
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individuals of on analyze where nodes a graphs, population. represent We the dynamics evolutionary
We analyze evolutionary dynamics on graphs, where the nodes represent individuals of a population.
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most among set selected sequences patterns frequent protein The and of is concatenated.
The set of most frequent patterns among protein sequences is selected and concatenated.
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family sequences alignment necessary. of species phylogenetic the tree are and No
No sequences alignment and phylogenetic tree of the species family are necessary.
13,458
universe. to ideas apply briefly limits computation of We our our in physical intelligent the
We briefly apply our ideas to the physical limits of intelligent computation in our universe.
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localize Beyond GWAS: alternatives QTLs animals. to in farm
Beyond GWAS: alternatives to localize QTLs in farm animals.
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a Similarity-preserving nearest hashing method for neighbour widely-used image search large-scale is tasks. retrieval in
Similarity-preserving hashing is a widely-used method for nearest neighbour search in large-scale image retrieval tasks.
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of is the vocabularies of dimensionality method particular, joint reduction considered. In multiple
In particular, the method of joint dimensionality reduction of multiple vocabularies is considered.
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one is in analysis. steps (BS) the of key Background video Subtraction
Background Subtraction (BS) is one of the key steps in video analysis.
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performance on sets. data public promising and have models proposed background achieved Many been
Many background models have been proposed and achieved promising performance on public data sets.
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background illumination to etc. However, change, due challenges dynamic such as
However, due to challenges such as illumination change, dynamic background etc.
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as noise. foreground background the as segmentation well often consists holes resulted of
the resulted foreground segmentation often consists of holes as well as background noise.
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generalized structured this regard, quest fused we foregrounds. regularization lasso to intact consider for In
In this regard, we consider generalized fused lasso regularization to quest for intact structured foregrounds.
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is text localization method and end-to-end recognition unconstrained presented. An
An unconstrained end-to-end text localization and recognition method is presented.
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estimation on based introduced. Additionally, a area stroke feature novel character is
Additionally, a novel feature based on character stroke area estimation is introduced.
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hunter-prey a extinction in mathematical of mechanistic coexistence ecosystem. study We and generic a model
We study a mechanistic mathematical model of extinction and coexistence in a generic hunter-prey ecosystem.
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to concomitant transmit systems biochemical dissipate signals, energy In with regulatory entropy biological order production.
In order to transmit biochemical signals, biological regulatory systems dissipate energy with concomitant entropy production.
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signaling place often Additionally, environmental in conditions. takes challenging
Additionally, signaling often takes place in challenging environmental conditions.
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Negative are characteristic dissipation. of at responses, feedback optimal high loops, shock
Negative feedback loops, characteristic of shock responses, are optimal at high dissipation.
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informative. positive Close loops, stability, for to known more their become equilibrium feedback
Close to equilibrium positive feedback loops, known for their stability, become more informative.
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human an is many classification diagnosis Automated important of computer-aided for prerequisite systems. anatomy
Automated classification of human anatomy is an important prerequisite for many computer-aided diagnosis systems.
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makes of anatomy human complexity the classification throughout and difficult. variability spatial The body
The spatial complexity and variability of anatomy throughout the human body makes classification difficult.
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methods have various analytical characterize regions selection, genomic To natural detecting candidate developed. for been
To characterize natural selection, various analytical methods for detecting candidate genomic regions have been developed.
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genome-wide perform to We component analysis. scans natural propose selection of using principal
We propose to perform genome-wide scans of natural selection using principal component analysis.
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distinctions. subtle to with objects aims categorization image Fine-grained classify
Fine-grained image categorization aims to classify objects with subtle distinctions.
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of the The expensive annotations methods. usage for wide these object need prevents
The need for expensive object annotations prevents the wide usage of these methods.
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In detectors work, models. part-based as object this to we propose Fisher-Vector-based interpret
In this work, we propose to interpret Fisher-Vector-based object detectors as part-based models.
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forms models. of graphical challenges of Structure inference learning the one statistical
Structure learning forms one of the inference challenges of statistical graphical models.
13,482
with be combined the to reversal can further. edge moves sampler Finally the method improve
Finally the method can be combined with edge reversal moves to improve the sampler further.
13,483
more artifacts increases. These view unnatural of the become more field as and
These artifacts become more and more unnatural as the field of view increases.
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consider We a more setup, viz. realistic
We consider a more realistic setup, viz.
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Triander visualization. is an software package for nucleotide The sequence interactive program
The Triander program is an interactive software package for nucleotide sequence visualization.
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can Triander produce types four of plots.
Triander can produce four types of plots.
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position to DNA independently is nucleotide build in triplets. three each for walks It possible
It is possible to build three DNA walks independently for each nucleotide position in triplets.
13,488
recently. Neural Convolutional Networks (CNNs) success have in Deep remarkable applications enjoyed vision
Deep Convolutional Neural Networks (CNNs) have enjoyed remarkable success in vision applications recently.
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the that data. the within primary training highly reason co-occur The attributes is
The primary reason is that the attributes highly co-occur within the training data.
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salient describe, detail, this aspects in We of dataset.
We describe, in detail, salient aspects of this dataset.
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standard This approach state-of-the-art achieves dataset a performance of RAW on images.
This approach achieves state-of-the-art performance on a standard dataset of RAW images.
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human introduction recognition. in of has promoted The research the skeleton-based action low-cost sensors RGB-D
The introduction of low-cost RGB-D sensors has promoted the research in skeleton-based human action recognition.
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provide challenge. two this insights here into We
We here provide two insights into this challenge.
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action-level trajectorylet is by pooling The encodings. representation obtained
The action-level representation is obtained by pooling trajectorylet encodings.
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results. VLAD Vectors or have FV, Existing achieved excellent Super methods such as
Existing methods such as FV, VLAD or Super Vectors have achieved excellent results.
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DTVD robustly. estimate to robust classifier-based method is Furthermore, proposed a
Furthermore, a robust classifier-based method is proposed to estimate DTVD robustly.
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applications. task, Texture many to crucial image constitutes processing a standard segmentation
Texture segmentation constitutes a standard image processing task, crucial to many applications.
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been has packing studied. protein thoroughly Single-domain side-chain
Single-domain protein side-chain packing has been thoroughly studied.
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