text stringlengths 27 153 | label stringlengths 27 153 | id int64 0 40k |
|---|---|---|
in Next, transformation to face inverse wavelet obtain taken is fused image. discrete order | Next, inverse discrete wavelet transformation is taken in order to obtain fused face image. | 2,000 |
was experiments Database For IRIS used. Face Thermal/Visual | For experiments IRIS Thermal/Visual Face Database was used. | 2,001 |
solve used many be to can problems. Symmetry help | Symmetry can be used to help solve many problems. | 2,002 |
has problem representation artificial and symmetry reasoning. In role intelligence, both an played important in | In artificial intelligence, symmetry has played an important role in both problem representation and reasoning. | 2,003 |
I constraint using work to describe solve symmetry recent satisfaction on problems. help | I describe recent work on using symmetry to help solve constraint satisfaction problems. | 2,004 |
histogram used code features and feature The are shadow chain intersection, features. | The features used are intersection, shadow feature and chain code histogram features. | 2,005 |
character English alphabets off-line images scheme handwritten novel, proposed. for A generic is | A novel, generic scheme for off-line handwritten English alphabets character images is proposed. | 2,006 |
a neural recognition networks. is perceptron(MLP) multilayer using scheme The | The recognition scheme is using a multilayer perceptron(MLP) neural networks. | 2,007 |
perceptron. are classified and an images into multi-layer using Log-polar finally eigenspace projected improved | Log-polar images are projected into eigenspace and finally classified using an improved multi-layer perceptron. | 2,008 |
Cs-DNA frequency spectra prominent. this is the range ion-phosphate vibrations mode at In of | In Cs-DNA spectra at this frequency range the mode of ion-phosphate vibrations is prominent. | 2,009 |
much spectra this of Its intensities Na-DNA than of intensity higher range. modes the is | Its intensity is much higher than the intensities of Na-DNA modes of this spectra range. | 2,010 |
Cs-DNA lower in have much modes of case intensities than Other of Na-DNA. the | Other modes of Cs-DNA have much lower intensities than in the case of Na-DNA. | 2,011 |
eigenspace are using images into perceptron. classified multi-layer projected a finally and Fused | Fused images are projected into eigenspace and finally classified using a multi-layer perceptron. | 2,012 |
the produces of Fusion images multiple representation more image. of efficient together a | Fusion of multiple images together produces a more efficient representation of the image. | 2,013 |
algorithms verification of considerable for has received performance multiple biometric Fusion attention. improvement | Fusion of multiple algorithms for biometric verification performance improvement has received considerable attention. | 2,014 |
is paper recognition handwritten In of characters a this method for devanagari described. | In this paper a method for recognition of handwritten devanagari characters is described. | 2,015 |
used training vectors. is feature conjugate-gradient One Perceptron with to Multi-layer classify these | One Multi-layer Perceptron with conjugate-gradient training is used to classify these feature vectors. | 2,016 |
Inverse coefficients fused of those face Daubechies images. gives transform wavelet us | Inverse Daubechies wavelet transform of those coefficients gives us fused face images. | 2,017 |
Face For was experiments used. Database Thermal/Visual IRIS | For experiments IRIS Thermal/Visual Face Database was used. | 2,018 |
with Episode applications. is popular many in Frequent a Mining framework Discovery framework Temporal Data | Frequent Episode Discovery framework is a popular framework in Temporal Data Mining with many applications. | 2,019 |
frequency this a In algorithms. of unified such counting we view present paper all | In this paper we present a unified view of all such frequency counting algorithms. | 2,020 |
all are current algorithms it. present such cases of generic special that We a algorithm | We present a generic algorithm such that all current algorithms are special cases of it. | 2,021 |
aims textual generation new VLSI from at realization This paper of face a for description. | This paper aims at VLSI realization for generation of a new face from textual description. | 2,022 |
based presents improving machine algorithm object for on tracking method a learning. paper any This | This paper presents a method for improving any object tracking algorithm based on machine learning. | 2,023 |
triplet i.e. zones, set a zones these of we Using construct | Using these zones, we construct a triplet set of zones i.e. | 2,024 |
for recognition. on sets these techniques is Each of different applied characters of | Each of these techniques is applied on different sets of characters for recognition. | 2,025 |
MLP's to the characters. separately used recognize Two are | Two MLP's are used separately to recognize the characters. | 2,026 |
decision The combined MLP's weighted of using both majority is scheme. | The decision of both MLP's is combined using weighted majority scheme. | 2,027 |
is differences character In stage, these divided relative two. based second into on the set | In the second stage, based on these relative differences character set is divided into two. | 2,028 |
Characters using MLP. distinct are of set first shapes of classified | Characters of distinct shapes of first set are classified using MLP. | 2,029 |
method. distance second in edit are Confused classified set characters using minimum | Confused characters in second set are classified using minimum edit distance method. | 2,030 |
found in parameter the based second on literature. is estimates The | The second is based on parameter estimates found in the literature. | 2,031 |
the analytical First, by following series work an pionneered with power model derived is Fitzhugh. | First, an analytical model is derived with power series following the work pionneered by Fitzhugh. | 2,032 |
underlie in of the processes the considerable sex-biased interest There is evolution parasitism. that could | There is considerable interest in the processes that could underlie the evolution of sex-biased parasitism. | 2,033 |
with role. system differences may play in differences key along lifespan a Mating | Mating system differences along with differences in lifespan may play a key role. | 2,034 |
seems test use for two-sample Therefore, it Hotelling's such reasonable to data. | Therefore, it seems reasonable to use two-sample Hotelling's test for such data. | 2,035 |
Hotelling's increases Moreover, the well. coefficient when of power increases the correlation test as | Moreover, when the correlation coefficient increases the power of Hotelling's test increases as well. | 2,036 |
matching the mouth for used detection. Template eyes of one methods is simplest and | Template matching is one of the simplest methods used for eyes and mouth detection. | 2,037 |
extended powerful modified become be and However, tool. to a it can | However, it can be modified and extended to become a powerful tool. | 2,038 |
the is optimum patch using method. proposed The determined shape and size | The optimum patch size and shape is determined using the proposed method. | 2,039 |
methods with combined matching to improve Usually, other template detection order is accuracy. also in | Usually, template matching is also combined with other methods in order to improve detection accuracy. | 2,040 |
effectiveness processing paper, two this in of image methods the Thus, i.e. | Thus, in this paper, the effectiveness of two image processing methods i.e. | 2,041 |
Haar wavelet when analyzed. with transform, used template are matching grayscale and | grayscale and Haar wavelet transform, when used with template matching are analyzed. | 2,042 |
blur-free simplicity of and computational fine (BF) filters denoising. deliver a bilateral blend Nonlinear | Nonlinear bilateral filters (BF) deliver a fine blend of computational simplicity and blur-free denoising. | 2,043 |
filter choices parameters. is of optimal noise-suppressing and properties, nature, little their known about However, | However, little is known about their nature, noise-suppressing properties, and optimal choices of filter parameters. | 2,044 |
to image our application is illustrate Practical CT results. to discussed denoising | Practical application to CT image denoising is discussed to illustrate our results. | 2,045 |
SMTI the NP-hard. to problem the is SM polynomial solve, is Whilst problem | Whilst the SM problem is polynomial to solve, the SMTI problem is NP-hard. | 2,046 |
to is quantitatively. used characterize Commonly, analysis and motility nematode movements them classify | Commonly, motility analysis is used to classify nematode movements and characterize them quantitatively. | 2,047 |
image environment each requires parameter on tools customized often heuristic tuning. relying However, processing | However, each environment often requires customized image processing tools relying on heuristic parameter tuning. | 2,048 |
for platform enables our of `skeletons' quantification. nematode In addition, extraction straightforward the motility | In addition, our platform enables the extraction of nematode `skeletons' for straightforward motility quantification. | 2,049 |
overwhelming the majority for MEME examined. Overall, the approach cases threshold-based outperforms of | Overall, MEME outperforms the threshold-based approach for the overwhelming majority of cases examined. | 2,050 |
are very However, non-experts. results to difficult interpret technical and the for | However, the results are very technical and difficult to interpret for non-experts. | 2,051 |
literature the about In stability. we high-level on a overview give paper this clustering existing | In this paper we give a high-level overview about the existing literature on clustering stability. | 2,052 |
procedure Geographical properly conditioned, as aspects. as data, visualization illustrate well flow the | Geographical flow data, properly conditioned, illustrate the procedure as well as visualization aspects. | 2,053 |
at least boundary. birth--death dependent probabilities absorbing We examine state transition processes with and one | We examine birth--death processes with state dependent transition probabilities and at least one absorbing boundary. | 2,054 |
system random the equal fitness walk. the If a performs have types two | If the two types have equal fitness the system performs a random walk. | 2,055 |
taken it mutants have take long until does advantageous and invaded How over? | How long does it take until advantageous mutants have invaded and taken over? | 2,056 |
work Walsh using image transform. a This method registration medical for Hadamard Fast proposes | This work proposes a method for medical image registration using Fast Walsh Hadamard transform. | 2,057 |
This of images same algorithm different registers modalities. the or | This algorithm registers images of the same or different modalities. | 2,058 |
Fast basis Hadamard Walsh functions. lengthened image terms bit of in Each is | Each image bit is lengthened in terms of Fast Walsh Hadamard basis functions. | 2,059 |
consuming Also more is Walsh registration medical in reliable Hadamard less transform time. image Fast | Also Fast Walsh Hadamard transform is more reliable in medical image registration consuming less time. | 2,060 |
in a parameters of is RANSAC technique for estimating outliers. the popular presence model | RANSAC is a popular technique for estimating model parameters in the presence of outliers. | 2,061 |
estimation. speed matrix our The demonstrated increased of on method with experiments essential | The increased speed of our method demonstrated with experiments on essential matrix estimation. | 2,062 |
lowest as revised uniquely degrees [resp. lower] characterized of belief the are | lower] revised degrees of belief are uniquely characterized as the lowest [resp. | 2,063 |
certain a by that [resp. invariant highest] max-min are ones | highest] ones that are invariant by a certain max-min [resp. | 2,064 |
the by constraints. logical operation determined min-max] | min-max] operation determined by the logical constraints. | 2,065 |
used Image imagery. algorithms from to cover information extract land satellite are classifiers | Image classifiers are algorithms used to extract land cover information from satellite imagery. | 2,066 |
was majority vote of final through individual the a simple determined classifiers. output The | The final output was determined through a simple majority vote of the individual classifiers. | 2,067 |
less than of the was It however RBF SVM. that | It was however less than that of the RBF SVM. | 2,068 |
over ranging permutations ranking tracking Distributions applications multi-object instances. arise to in from of | Distributions over permutations arise in applications ranging from multi-object tracking to ranking of instances. | 2,069 |
the representation hypersphere We time continuous polynomial provide projections between the permutation and $n!$-element space. | We provide polynomial time projections between the continuous hypersphere representation and the $n!$-element permutation space. | 2,070 |
article to in this work The suggests the presented a problem. sample solution two | The work presented in this article suggests a solution to the two sample problem. | 2,071 |
phenomenon. Linnik sample similarity, Welch-Aspin the solution, problem, Two nuisance problem, parameter, Fisher-Behrens Keywords: | Keywords: Two sample problem, Welch-Aspin solution, Fisher-Behrens problem, nuisance parameter, similarity, the Linnik phenomenon. | 2,072 |
stringent the of model pathway. response dynamics develop We to a theoretical the study | We develop a theoretical model to study the dynamics of the stringent response pathway. | 2,073 |
The and foragers focuses model behavioural nectar classes; two nectar receivers. on | The model focuses on two behavioural classes; nectar foragers and nectar receivers. | 2,074 |
achieved reduced a be model. can linear Supervised rank multivariate feature extraction fitting by | Supervised linear feature extraction can be achieved by fitting a reduced rank multivariate model. | 2,075 |
rank penalized generalized constrained models. paper rank linear and vector This studies | This paper studies rank penalized and rank constrained vector generalized linear models. | 2,076 |
A setups. cross-validation for parameter in proposed is novel projective tuning such nonconvex | A novel projective cross-validation is proposed for parameter tuning in such nonconvex setups. | 2,077 |
approaches these some All limitation. of have | All of these approaches have some limitation. | 2,078 |
We and evolution. of two different discuss genomes' chromosomes' ways | We discuss two different ways of chromosomes' and genomes' evolution. | 2,079 |
multi-electrode We arrays observed high-density algorithm identify present spikes (MEAs). individual on an to neural | We present an algorithm to identify individual neural spikes observed on high-density multi-electrode arrays (MEAs). | 2,080 |
via interface. Human graphical is a and intervention minimized streamlined | Human intervention is minimized and streamlined via a graphical interface. | 2,081 |
as Attitudes (Faculty Toward Statistics). FATS This to referred be scale will | This scale will be referred to as FATS (Faculty Attitudes Toward Statistics). | 2,082 |
these Additional to properties. confirm studies psychometric required and structural are | Additional studies are required to confirm these structural and psychometric properties. | 2,083 |
impacts, impacts negative environmental these and and environmental and between positive dependencies receptors. and | and positive and negative environmental impacts, and dependencies between these impacts and environmental receptors. | 2,084 |
work high-level in XML-based, is designed services- oriented to architecture VERSA's environments. | VERSA's high-level architecture is designed to work in XML-based, services- oriented environments. | 2,085 |
diversity. ecosystem high by generated A this phylogenetic rule, nested shows | A nested ecosystem generated by this rule, shows high phylogenetic diversity. | 2,086 |
similar are neighbours. counterparts to not of This degrees species say, the phylogenetic having is | This is to say, the counterparts of species having similar degrees are not phylogenetic neighbours. | 2,087 |
and the prediction. factors part analyzes which affect First the identifies | First part analyzes and identifies the factors which affect the prediction. | 2,088 |
in detail. been by solved It an has illustrated example | It has been illustrated by an example solved in detail. | 2,089 |
simulated been and our making decision in measures Three different discussion. compared have | Three different decision making measures have been simulated and compared in our discussion. | 2,090 |
of unweighted rule. the in study elections coalitional Borda We using manipulation the problem | We study the problem of coalitional manipulation in elections using the unweighted Borda rule. | 2,091 |
approach logic set the answer semantics An of the is to revision programs presented. under | An approach to the revision of logic programs under the answer set semantics is presented. | 2,092 |
in A that revision, stipulates A. * this AGM is K In | In AGM revision, this stipulates that A is in K * A. | 2,093 |
from respects. in update two work differs programs approach logic The main in | The approach differs from work in update logic programs in two main respects. | 2,094 |
torsion quantum is as regarded folding polypeptide between on protein a chain. The transition states | The protein folding is regarded as a quantum transition between torsion states on polypeptide chain. | 2,095 |
The previous in reviewed. deduction of the is studies rate formula folding our | The deduction of the folding rate formula in our previous studies is reviewed. | 2,096 |
generalized variation The formula the folding. in of frequency to is case rate | The rate formula is generalized to the case of frequency variation in folding. | 2,097 |
for is mass major characteristics texture. One classification the mammographic of | One of the major mammographic characteristics for mass classification is texture. | 2,098 |
factor to mass ANN important into exploits benign or the this classify malignant. | ANN exploits this important factor to classify the mass into benign or malignant. | 2,099 |
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