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damilojohn
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Text-Descrambling

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we images. and functions these for Secondly, operations extend color
Secondly, we extend these operations and functions for color images.
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an image. finally on effect simple show the of various operations We
We finally show the effect of various simple operations on an image.
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logarithmic the context images. for authors questions such to in of models answer The
The authors answer to such questions in the context of logarithmic models for images.
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are The be detected categories novel continuously must and then added. datasets dynamic and
The datasets are dynamic and novel categories must be continuously detected and then added.
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trained to has At prediction a unseen myriad time, categories. system with deal
At prediction time, a trained system has to deal with myriad unseen categories.
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systems time, learn. require minimum even to Operational down
Operational systems require minimum down time, even to learn.
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existing for extends world algorithms recognition. theory Our open
Our theory extends existing algorithms for open world recognition.
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We evaluation a recognition systems. for of world protocol open present
We present a protocol for evaluation of open world recognition systems.
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superior yields world NNO recognition. on results consistently open
NNO consistently yields superior results on open world recognition.
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irreversible. reduction be of essentially In was to found addition, riboflavin
In addition, reduction of riboflavin was found to be essentially irreversible.
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It followed second riboflavin. a of reduced is intermediate and charge-transfer by NADP+ enzyme-bound
It is followed by a second charge-transfer intermediate of enzyme-bound NADP+ and reduced riboflavin.
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bursting We leakage due show effects. the translational noise have opposite and that transcriptional to
We show that transcriptional leakage and noise due to translational bursting have the opposite effects.
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number derived. strict bound region a a the is facets Tukey on of Further, of
Further, a strict bound on the number of facets of a Tukey region is derived.
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a method enhancing the level This paper gray images. for presents
This paper presents a method for enhancing the gray level images.
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interpolation these The nodes using the calculated Bernstein of are functions polynomials.
The interpolation nodes of these functions are calculated using the Bernstein polynomials.
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algebraical this In images. a the paper model for new gray we level propose
In this paper we propose a new algebraical model for the gray level images.
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for image digital processing. can used It be
It can be used for digital image processing.
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structure enhancement. in image the used defined be could Also,
Also, the defined structure could be used in image enhancement.
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results experimental The general image with presented approach enhancement. to demonstrate is
The general approach is presented with experimental results to demonstrate image enhancement.
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image in applications processing. and Background/foreground video segmentation a lot of has
Background/foreground segmentation has a lot of applications in image and video processing.
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The problems new are computational beauty reviewing neuroscience three and discussed teaching of by textbooks.
The problems and beauty of teaching computational neuroscience are discussed by reviewing three new textbooks.
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The for image offers model tools new logarithmic processing.
The logarithmic model offers new tools for image processing.
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presents images. method level gray for This paper enhancing the a
This paper presents a method for enhancing the gray level images.
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lines. graphic latter polygonal The a represented by have
The latter have a graphic represented by polygonal lines.
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measures an top-down in distortion for image important Therefore are processing. the local
Therefore local distortion measures in an image are important for the top-down processing.
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perceptual for To this, global account features can be used.
To account for this, global perceptual features can be used.
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approach thoroughly discussed, behind been by an accompanied has intuitive proposed analysis. motivation The the
The motivation behind the proposed approach has been thoroughly discussed, accompanied by an intuitive analysis.
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to of concept task learning. Specifically, the
Specifically, to the task of concept learning.
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for we image paper, In propose model mathematical processing. color a this
In this paper, we propose a mathematical model for color image processing.
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real two <+> addition define We multiplication <x>. scalar and operations:
We define two operations: addition <+> and real scalar multiplication <x>.
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operations With these of real becomes a vector colors space. the space
With these operations the space of colors becomes a real vector space.
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Euclidean ||, we a (logarithmic) obtain space.
||, we obtain a (logarithmic) Euclidean space.
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A perceptual to evaluate the in approach sharpness blind is proposed. a present image natural
A blind approach to evaluate the perceptual sharpness present in a natural image is proposed.
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microtubules attachments detachments. with highly frequent and dynamic is kinetochores interaction The between and
The interaction between kinetochores and microtubules is highly dynamic with frequent attachments and detachments.
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theory. into web The model food present introduced parameterized realities
The present model introduced parameterized realities into food web theory.
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broad studies However, values of theoretical predict a $b$. of dynamics of range population
However, theoretical studies of population dynamics predict a broad range of values of $b$.
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on our support results. analyses theoretical Empirical datasets two
Empirical analyses on two datasets support our theoretical results.
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established Proving of Theorem an (ATP) Automated Intelligence. branch is Artificial
Automated Theorem Proving (ATP) is an established branch of Artificial Intelligence.
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This is optimization the distribution. form the convex regardless of of target problem
This optimization problem is convex regardless of the form of the target distribution.
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with results detection We edge our classical comparison the present using operators. results of the
We present the comparison of our results with the results using classical edge detection operators.
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of many in cycle central Iron-peroxide are intermediates biomolecules. the reaction iron-containing
Iron-peroxide intermediates are central in the reaction cycle of many iron-containing biomolecules.
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to Then sets. is idea interval neutrosophic the extended
Then the idea is extended to interval neutrosophic sets.
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classification and supervised algorithms training. rely Current state-of-the-art on detection
Current state-of-the-art classification and detection algorithms rely on supervised training.
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by auto-encoder convolutional This to assumption regularized slowness and is sparsity. a train exploited pooling
This assumption is exploited to train a convolutional pooling auto-encoder regularized by slowness and sparsity.
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feedback actionable we features tool personalized, with surgeons developed provide regarding motion. The their
The features we developed provide surgeons with personalized, actionable feedback regarding their tool motion.
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unfortunately Second, time. which for this algorithm Hungarian cubic the calls usurps
Second, this calls for the Hungarian algorithm which unfortunately usurps cubic time.
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deeper CNNs advantages with compare We further different brought by architecture. show and depths the
We further compare CNNs with different depths and show the advantages brought by deeper architecture.
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that improves solutions the the combination of the two show results. we Finally,
Finally, we show that the combination of the two solutions improves the results.
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are We results standard on report two datasets. state-of-the-art that equivalent the to
We report results that are equivalent to the state-of-the-art on two standard datasets.
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the we study for In paper, segmentation semantic this of problem part animals.
In this paper, we study the problem of semantic part segmentation for animals.
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model. semantic incorporate And the and into appearance, cues edge, we part compositional
And we incorporate edge, appearance, and semantic part cues into the compositional model.
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Experimental effectiveness the of results our demonstrate method.
Experimental results demonstrate the effectiveness of our method.
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only Knowledge good it is complete. is if and consistent sound,
Knowledge is only good if it is sound, consistent and complete.
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true its holds knowledge, holds knowledge same concepts about for which and association. The conceptual
The same holds true for conceptual knowledge, which holds knowledge about concepts and its association.
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situations, In interval-valued practical frequently are encountered. fuzzy sets
In practical situations, interval-valued fuzzy sets are frequently encountered.
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sets sets. paper, firstly, shadowed understanding interpreting interval fuzzy this present for and we In
In this paper, firstly, we present shadowed sets for interpreting and understanding interval fuzzy sets.
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interval-valued we sets. construct approximations three-way of fuzzy errors-based Secondly,
Secondly, we construct errors-based three-way approximations of interval-valued fuzzy sets.
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Thirdly, using functions. sets loss by three-way errors-based of compute interval-valued approximations interval-valued fuzzy we
Thirdly, we compute errors-based three-way approximations of interval-valued fuzzy sets by using interval-valued loss functions.
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is Bayesian challenging. large methods The fully variable data sets application to computationally selection of
The application of fully Bayesian variable selection methods to large data sets is computationally challenging.
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time. the data in measured Temporal information of context is
Temporal data is information measured in the context of time.
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longitudinal dependence. within we between and data In expect also subject
In longitudinal data we also expect within and between subject dependence.
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series using plotted longitudinal analyzed often although differently, and displays. are data, Time similar
Time series and longitudinal data, although analyzed differently, are often plotted using similar displays.
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the methods of and allele genomes. among These archaic pattern sharing study modern
These methods study the pattern of allele sharing among modern and archaic genomes.
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of depends bias. and two factors: bias The admixture branch-length effect ghost population-size on
The effect of ghost admixture depends on two factors: branch-length bias and population-size bias.
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branch in Population-size differences in gene because genealogy. occurs size bias population distort the lengths
Population-size bias occurs because differences in population size distort branch lengths in the gene genealogy.
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absence In admixture, of the small. these ghost are effects
In the absence of ghost admixture, these effects are small.
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ghost presence in the of become admixture. however, They important,
They become important, however, in the presence of ghost admixture.
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differ the pattern in Estimators of response.
Estimators differ in the pattern of response.
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may estimator one deflate another. a given but parameter inflate Increasing
Increasing a given parameter may inflate one estimator but deflate another.
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informative. this are estimators For among reason, comparisons
For this reason, comparisons among estimators are informative.
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It of identifies also Melanesia. an into inconsistency in archaic estimates admixture
It also identifies an inconsistency in estimates of archaic admixture into Melanesia.
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In this enhancement. model paper use we for a gray image logarithmic level
In this paper we use a logarithmic model for gray level image enhancement.
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important dynamics neural for are efficient to t These be functioning. thought
These dynamics are thought to be important t for efficient neural functioning.
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for a new representation paper, we feature this present In videos. first-person
In this paper, we present a new feature representation for first-person videos.
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confirm first-person these findings. various datasets activity to Multiple tested were under settings
Multiple first-person activity datasets were tested under various settings to confirm these findings.
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decidable. condition, under that run-boundedness we verification Specifically, a show stays
Specifically, we show that under a run-boundedness condition, verification stays decidable.
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Object computer of research important the in detection field vision. is an area
Object detection is an important research area in the field of computer vision.
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appearance imaging assumptions detector the object of conditions. on object relies specific and However, each
However, each object detector relies on specific assumptions of the object appearance and imaging conditions.
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can universal. no As consequence, as algorithm a considered be
As a consequence, no algorithm can be considered as universal.
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propose combine to to paper, we object learn In framework this how detectors. a
In this paper, we propose a framework to learn how to combine object detectors.
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the these predictive concept of affects drift application in where future. maintenance), models
predictive maintenance), where concept drift affects application of these models in the future.
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error-prone is construction models such an context of elaborate task. Manual and
Manual construction of such context models is an elaborate and error-prone task.
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of scenario need example and Our information. context tracking the change shows distribution for effective
Our example scenario shows the need for distribution and effective change tracking of context information.
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In results implementation. present first this the CKR such evaluation paper we for
In this paper we present the first evaluation results for such CKR implementation.
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experiment scalability In study respect different first its to reasoning regimes. particular, with in we
In particular, in first experiment we study its scalability with respect to different reasoning regimes.
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are recognition techniques used for English for documents language. printed widely Character
Character recognition techniques for printed documents are widely used for English language.
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been to accuracy Sinhala attention given improve little character of a recognition. has Therefore, the
Therefore, a little attention has been given to improve the accuracy of Sinhala character recognition.
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inference a paper This describes recognize characters. use Sinhala fuzzy to system the of
This paper describes the use of a fuzzy inference system to recognize Sinhala characters.
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used iterative is convex smoothing proximal to corresponding optimization algorithm the A solve problems.
A proximal iterative smoothing algorithm is used to solve the corresponding convex optimization problems.
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intervals the develop inverse for confidence Furthermore, elements we matrix. of point-wise covariance conditional individual
Furthermore, we develop point-wise confidence intervals for individual elements of the conditional inverse covariance matrix.
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natural addressed. problem texture of synthetic In paper, images is the this classifying and
In this paper, the problem of classifying synthetic and natural texture images is addressed.
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and was databases. Vistex method tested the on Brodatz well-known The
The method was tested on the well-known Brodatz and Vistex databases.
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indicates the employing natural potential in other methods on phenomena of inspired fields. This
This indicates the potential of employing methods inspired on natural phenomena in other fields.
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How students are them we do learning the learn? what we to know want
How do we know the students are learning what we want them to learn?
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over the time? we improve program How do
How do we improve the program over time?
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they with examples illustrative as programs for moving new guidelines. serve the hope We forward
We hope they serve as illustrative examples for programs moving forward with the new guidelines.
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Examples as basic usage illustrate performance. improving as well for methods
Examples illustrate basic usage as well as methods for improving performance.
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low-level typically in features eye prediction integrating researches (e.g. on fixation While rely previous
While previous researches in eye fixation prediction typically rely on integrating low-level features (e.g.
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Forage used were: cv. decumbens} crops \textit{Brachiaria
Forage crops used were: \textit{Brachiaria decumbens} cv.
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Brizantha} \textit{Brachiaria (Hochst. Germain \textit{Brachiaria IPEAN; ruziziensis} \& Evrard;
IPEAN; \textit{Brachiaria ruziziensis} Germain \& Evrard; \textit{Brachiaria Brizantha} (Hochst.
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