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It as gradient (SBGP). patterns is termed binary structural
It is termed as structural binary gradient patterns (SBGP).
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depend hypothesize detection to locations. algorithms proposal object networks State-of-the-art region on object
State-of-the-art object detection networks depend on region proposal algorithms to hypothesize object locations.
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generated at in time step, $N_{x}$ the $\mathcal{X}$). each particles state are space
at each time step, $N_{x}$ particles are generated in the state space $\mathcal{X}$).
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algorithm. of the to calibrate automatically course the discuss in how $N_{x}$ We
We discuss how to automatically calibrate $N_{x}$ in the course of the algorithm.
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original perform used So representations can that be visual sparse of tasks. recognition data to
So that sparse representations of original data can be used to perform visual recognition tasks.
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demonstrate approach of standard on our We effectiveness the datasets.
We demonstrate the effectiveness of our approach on standard datasets.
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par competitive method better than state-of-the-art Our methods. performs on or
Our method performs on par or better than competitive state-of-the-art methods.
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computation problem. edge powerless path counting-based The for this is non-uniformity
The edge counting-based path computation is powerless for this non-uniformity problem.
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questions investigated Biological recent algorithmic have persistent been intensely concerning years. phylogeny and in
Biological and algorithmic questions concerning persistent phylogeny have been intensely investigated in recent years.
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research. image emerging topic image a very is Color processing segmentation for
Color image segmentation is a very emerging topic for image processing research.
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a process. Choosing is space image color for a proper very segmentation issue important color
Choosing a proper color space is a very important issue for color image segmentation process.
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spaces. are LAB and frequently chosen two the color HSV Generally
Generally LAB and HSV are the two frequently chosen color spaces.
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their . and we the psnr parameters: mse consider For performance, measuring
For measuring their performance, we consider the parameters: mse and psnr .
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LAB. It performing that is found HSV space is better color than
It is found that HSV color space is performing better than LAB.
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method of the This improves queries. significantly accuracy
This method significantly improves the accuracy of queries.
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However, increases also cost this the of computing.
However, this also increases the cost of computing.
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COREL's our images. evaluated is Finally, work on
Finally, our work is evaluated on COREL's images.
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on colors approaches of This image the the retrieval of image. chapter system base the
This chapter approaches the image retrieval system on the base of the colors of image.
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shape, topology, its own and distinguishing features. has It
It has its own shape, topology, and distinguishing features.
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are systems challenging testing tasks. tracking As facial developing and such,
As such, developing and testing facial tracking systems are challenging tasks.
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FdMiee facial of behaviors captures facial variations. under hardware, information different and types environmental Using
Using different types of hardware, FdMiee captures facial information under environmental and facial behaviors variations.
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images visual matrix descriptors of a high-dimensional exhibit for natural Most structure.
Most of high-dimensional visual descriptors for images exhibit a natural matrix structure.
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layers There LLE. structure external two to are
There are two structure layers external to LLE.
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over weighted a distribution probability compactly to possible formulas worlds. uses encode logic Markov
Markov logic uses weighted formulas to compactly encode a probability distribution over possible worlds.
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of the size theory this exponential Unfortunately, is general. in
Unfortunately, the size of this theory is exponential in general.
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network article conceptor images. new This in classifying demonstrates classifier a based
This article demonstrates a new conceptor network based classifier in classifying images.
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faces features conditions. challenging identities in large number of a It real-world from
It features faces from a large number of identities in challenging real-world conditions.
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bilinear case, fine-tuned each model the shows substantial In standard CNN. improvements over the
In each case, the fine-tuned bilinear model shows substantial improvements over the standard CNN.
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sequential for probabilities. estimation and splitting algorithms We of describe these resampling the importance
We describe sequential importance resampling and splitting algorithms for the estimation of these probabilities.
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provide proposed results of algorithm. We effectiveness the the numerical demonstrating
We provide numerical results demonstrating the effectiveness of the proposed algorithm.
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on single recent most However, the even isolated a approaches focus of case hand.
However, even most recent approaches focus on the case of a single isolated hand.
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colors, details. color fine-scale gradients The faithfully reproduce and prints resulting
The resulting prints faithfully reproduce colors, color gradients and fine-scale details.
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though, neural activated inherently different by tasks. system same the Importantly can be
Importantly though, the same neural system can be activated by inherently different tasks.
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stimuli. involving Here, two we and proof-of-principle auditory present studies visual
Here, we present two proof-of-principle studies involving visual and auditory stimuli.
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on cells quantum is A in pluripotency physically model induced chemically the proposed. and stem
A quantum model on the chemically and physically induced pluripotency in stem cells is proposed.
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the for deduced. is formulas calculated form is an rate rate The analytical and transitional
The transitional rate is calculated and an analytical form for the rate formulas is deduced.
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hyperspectral in the is the pixels. presence One data mixed of analysis of challenges
One of the challenges in hyperspectral data analysis is the presence of mixed pixels.
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pixels the spatial of sensors. are Mixed hyperspectral of low resolution result
Mixed pixels are the result of low spatial resolution of hyperspectral sensors.
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methods pixel of unmixing endmembers fractions. mixed a into decompose abundance a and set Spectral
Spectral unmixing methods decompose a mixed pixel into a set of endmembers and abundance fractions.
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and abundance fractions this in paper. both Sparseness matrices used spectral signatures are constraint on
Sparseness constraint on both spectral signatures and abundance fractions matrices are used in this paper.
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the show proposed methods. algorithm outperforms previously that Results other proposed
Results show that the proposed algorithm outperforms other previously proposed methods.
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we structural our revisit algorithm recently Corresponding, selection proposed based on and sparsity. stability
Corresponding, we revisit our recently proposed algorithm based on stability selection and structural sparsity.
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time. the analysis to multi-center data applied first It for MRI the is
It is applied to the multi-center MRI data analysis for the first time.
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in common actions still and interactions monocular images? are recognizable human Which
Which common human actions and interactions are recognizable in monocular still images?
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at is time? many performing a How a person
How many is a person performing at a time?
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an for localization effective in spatio-temporal propose action videos. realistic We approach
We propose an effective approach for spatio-temporal action localization in realistic videos.
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approach. a proposals video using tracking-by-detection tracks high-scoring the throughout It then
It then tracks high-scoring proposals throughout the video using a tracking-by-detection approach.
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instance-level on relies simultaneously and class-level tracker detectors. Our
Our tracker relies simultaneously on instance-level and class-level detectors.
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propose current the analyze to the In such wavelets images. we paper,
In the current paper, we propose the wavelets to analyze such images.
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successfully objects. testing continuous binary The to applied transform was wireframe the wavelet
The continuous wavelet transform was successfully applied to the testing wireframe binary objects.
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of restored wireframe binary the objects. locations structure correspond The to the testing
The restored locations correspond to the structure of the testing wireframe binary objects.
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codetection on process employ by constraint pairing the the We weak video with sentences. semantic
We employ weak semantic constraint on the codetection process by pairing the video with sentences.
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and populations? Here, we ask: across escape of are rates host comparable reversion infected
Here, we ask: are rates of escape and reversion comparable across infected host populations?
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We estimates across escape cohorts. find the examined consistent rate
We find consistent escape rate estimates across the examined cohorts.
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Canadian a are population. rates infected between African South also host consistent and Reversion
Reversion rates are also consistent between a Canadian and South African infected host population.
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more quickly. to Similarly, capacity mutants greatest tend viral inducing revert costs the to replicative
Similarly, mutants inducing the greatest costs to viral replicative capacity tend to revert more quickly.
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images. technique Relies faces using base standard Eigen Data on
Relies on Eigen faces technique using standard Data base images.
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always selected image as a major topic In vision, by research segmentation is researchers. computer
In computer vision, image segmentation is always selected as a major research topic by researchers.
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segmentation in used clustering process. image Many researchers
Many researchers used clustering in image segmentation process.
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requires there still of such approaches. improvement But
But still there requires improvement of such approaches.
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segmentation paper, is In based novel clustering this for image approach a proposed.
In this paper, a novel approach for clustering based image segmentation is proposed.
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task. on for color and lab Here, choose importance give space we this
Here, we give importance on color space and choose lab for this task.
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filtered the with image sobel segmented filter. is Then
Then the segmented image is filtered with sobel filter.
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are observe and the PSNR MSE performance. evaluated to The values
The MSE and PSNR values are evaluated to observe the performance.
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planning for grids. widely used path on are
are widely used for path planning on grids.
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LIAN empirically. We examine both theoretically and
We examine LIAN both theoretically and empirically.
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it is and restrictions). complete (under some show that sound We
We show that it is sound and complete (under some restrictions).
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brain of damage, We revisit idea i.e. the
We revisit the idea of brain damage, i.e.
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that generalized approach convolutions matrix uses to many reduce the fact implementations The multiplications. efficient
The approach uses the fact that many efficient implementations reduce generalized convolutions to matrix multiplications.
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very on AlexNet, the In comparison method achieves performance. the competitive
In the comparison on AlexNet, the method achieves very competitive performance.
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was defined. real interval for new bounded a Also distance
Also a new distance for bounded real interval was defined.
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image in vision a computer Text challenging community. research the is problem super-resolution open yet
Text image super-resolution is a challenging yet open research problem in the computer vision community.
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of low-resolution In character typical particular, recognition hamper systems. (OCR) performance images the optical
In particular, low-resolution images hamper the performance of typical optical character recognition (OCR) systems.
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kernel arbitrary with approximate precision). bounded can any
can approximate any bounded kernel with arbitrary precision).
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trade-off a of function cell. each type defines cell Intrinsic of
Intrinsic trade-off function of each cell defines a type of cell.
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for areas distribution. V. specific cholerae geographic identified We potential
We identified specific geographic areas for potential V. cholerae distribution.
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presents a of bifuzzy five-valued representation sets. paper This
This paper presents a five-valued representation of bifuzzy sets.
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reviews covered of methods. in are most complex These prediction challenges
These challenges are covered in most reviews of complex prediction methods.
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an the addressed needs important to membrane be challenge of that prediction complexes. However, is
However, an important challenge that needs to be addressed is the prediction of membrane complexes.
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methods. outperforms resulting Despite color its algorithm state-of-the-art the current estimation simplicity, constancy
Despite its simplicity, the resulting estimation algorithm outperforms current state-of-the-art color constancy methods.
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to luminance-to-chromaticity a the learn Next, classifier "end-to-end". propose method we
Next, we propose a method to learn the luminance-to-chromaticity classifier "end-to-end".
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properties spice with pungent Black bitter having a and is odour. medicinal sativa) (Nigella cumin
Black cumin (Nigella sativa) is a spice having medicinal properties with pungent and bitter odour.
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interactions i.e. target of The such identified molecular one
The molecular interactions of one such target identified i.e.
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concept based concept used generate to EventNet representation Finally, library videos. event is of the
Finally, the EventNet concept library is used to generate concept based representation of event videos.
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potential browsing. and event offers It for retrieval great
It offers great potential for event retrieval and browsing.
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the inaccurate by still TBIR users. tags and from deficient applications provided However, the suffer
However, the TBIR applications still suffer from the deficient and inaccurate tags provided by users.
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refine completion tags. propose algorithm the we to further matrix a And
And we propose a matrix completion algorithm to further refine the tags.
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model video This generative a done training is to by frames. predict
This is done by training a generative model to predict video frames.
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imperfect incorrectly consider test, might positives). be (false susceptible individuals infected to An however,
An imperfect test, however, might incorrectly consider susceptible individuals to be infected (false positives).
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potentially In the reduces epidemic this in the of misclassifying individuals. testing case, expense
In this case, testing reduces the epidemic in the expense of potentially misclassifying individuals.
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turn but at to deemed Susceptible $\theta$. "susceptible individuals infected" rate
Susceptible individuals turn to "susceptible but deemed infected" at rate $\theta$.
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a state "infected individuals tested rate Infected positive" at go and $\alpha$. to
Infected individuals go to a state "infected and tested positive" at rate $\alpha$.
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functions specificity. of sensitivity rates of are test's these Both and
Both of these rates are functions of test's sensitivity and specificity.
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method. our Bayesian A gives results offline shows that an as study method similar simulation
A simulation study shows that our method gives similar results as an offline Bayesian method.
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We also over traditional Gaussian proposal proposal. the that the find improves skewed-normal
We also find that the skewed-normal proposal improves over the traditional Gaussian proposal.
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part essential mining mining. is an data data analysis itemset Frequent of and
Frequent itemset mining is an essential part of data analysis and data mining.
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encodings works problem frequent SAT-based propose of for the interesting itemsets. Recent discovering
Recent works propose interesting SAT-based encodings for the problem of discovering frequent itemsets.
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effects restart, context, learning. the of and this heuristics we deeply clauses study branching In
In this context, we deeply study the effects of restart, branching heuristics and clauses learning.
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lower to compilation particular show we and new bounds DNNF knowledge In on SDD forms.
In particular we show new lower bounds on knowledge compilation to SDD and DNNF forms.
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simple be must less FBDDs. than which examples exponentially also SDDs concise We for derive
We also derive simple examples for which SDDs must be exponentially less concise than FBDDs.
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