text stringlengths 27 153 | label stringlengths 27 153 | id int64 0 40k |
|---|---|---|
domain problem tested The was composition. of the chess in approach | The approach was tested in the domain of chess problem composition. | 14,700 |
also assessed experts were in domain. by the human They | They were also assessed by human experts in the domain. | 14,701 |
a In source particular, chess quality (i.e. low | In particular, a low quality chess source (i.e. | 14,702 |
compositions efficiently human published well. and as more experts), by | published compositions by human experts), and more efficiently as well. | 14,703 |
improvements cost and proposed. the enhance numerical computational bound to are stability Several | Several improvements to enhance numerical stability and bound the computational cost are proposed. | 14,704 |
its each provided. the pseudo-code and corresponding are code analyzed Scilab For algorithm, in | For each analyzed algorithm, the pseudo-code and its corresponding code in Scilab are provided. | 14,705 |
special on symbolic Analysis data based Data is of - (SO). descriptions Symbolic objects | Symbolic Data Analysis is based on special descriptions of data - symbolic objects (SO). | 14,706 |
on clustering leaders based this method is result. The corresponding | The corresponding leaders clustering method is based on this result. | 14,707 |
solving methods compatible are same they Both are clustering optimization problem. the - | Both methods are compatible - they are solving the same clustering optimization problem. | 14,708 |
proposed applied methods different on data were The sets. | The proposed methods were applied on different data sets. | 14,709 |
data presented. In paper, some clustering are results of of ESS the | In the paper, some results of clustering of ESS data are presented. | 14,710 |
analyze shapes Mathematical theory. using to and morphology describe set (MM) helps | Mathematical morphology (MM) helps to describe and analyze shapes using set theory. | 14,711 |
which binary treated effectively applied can MM are to sets. as be images | MM can be effectively applied to binary images which are treated as sets. | 14,712 |
used an can image defined as effective be in processing. morphological Basic tool operators | Basic morphological operators defined can be used as an effective tool in image processing. | 14,713 |
also and Morphological hypergraph. are operators on based developed graph | Morphological operators are also developed based on graph and hypergraph. | 14,714 |
have performance better and in applications processing. These image found operators | These operators have found better performance and applications in image processing. | 14,715 |
operation defined. hypergraph and morphological is erosion/dilation considered basic A is structure | A hypergraph structure is considered and basic morphological operation erosion/dilation is defined. | 14,716 |
operators the on opening/closing filtering also hypergraphs. Several and defined are new | Several new operators opening/closing and filtering are also defined on the hypergraphs. | 14,717 |
filters comparatively have performance found with on morphological filtering better based graph. Hypergraph based | Hypergraph based filtering have found comparatively better performance with morphological filters based on graph. | 14,718 |
paper binary images. hypergraph this ASF the In based effectiveness of we on evaluate | In this paper we evaluate the effectiveness of hypergraph based ASF on binary images. | 14,719 |
based ASF graph shows filters hypergraph ASF. have based Experimental that results outperformed | Experimental results shows that hypergraph based ASF filters have outperformed graph based ASF. | 14,720 |
Knowing genome are model attempting to researchers this, currently structures. many accurately | Knowing this, many researchers are currently attempting to accurately model genome structures. | 14,721 |
loci, and genome, scales fiber, chromosome, nucleosome, six full are nucleotide. These | These six scales are full genome, chromosome, loci, fiber, nucleosome, and nucleotide. | 14,722 |
already accuracy. Current in substantial achieved breakthroughs have prevailing approaches recognition | Current prevailing approaches have already achieved substantial breakthroughs in recognition accuracy. | 14,723 |
if their usually dramatically performance are face samples misaligned. severely However, drops | However, their performance usually drops dramatically if face samples are severely misaligned. | 14,724 |
of structure accelerate make we Moreover, use to derived the the solution. analytical block | Moreover, we make use of the block structure to accelerate the derived analytical solution. | 14,725 |
extracellular properties However, is exact of the still uncertain. nature these | However, the exact nature of these extracellular properties is still uncertain. | 14,726 |
Probability discerning at are models statistical useless cause. and | Probability and statistical models are useless at discerning cause. | 14,727 |
factor, ever hypothesis should again. or test, Bayes be No used | No hypothesis test, or Bayes factor, should ever be used again. | 14,728 |
not This over-certainty are when predictive worse used. methods made much and parametetric is | This over-certainty is made much worse when parametetric and not predictive methods are used. | 14,729 |
industry in research and Big technology, has great society. science, data attention attracted | Big data research has attracted great attention in science, technology, industry and society. | 14,730 |
explores the data? answers is This paper What and following big questions: | This paper explores and answers the following questions: What is big data? | 14,731 |
big are What representing, data? basic the and managing for analyzing methods | What are the basic methods for representing, managing and analyzing big data? | 14,732 |
big and between knowledge? is data relationship the What | What is the relationship between big data and knowledge? | 14,733 |
into we space? big from data knowledge find Can mapping a | Can we find a mapping from big data into knowledge space? | 14,734 |
is paradigm? the big science relationship data What and between | What is the relationship between big data and science paradigm? | 14,735 |
What of challenge the fundamental is computing? nature big data and | What is the nature and fundamental challenge of big data computing? | 14,736 |
of methodology multi-dimensional perspective data computing. is toward A big presented a | A multi-dimensional perspective is presented toward a methodology of big data computing. | 14,737 |
however, have approaches almost empirically far, these investigated. all So only been | So far, however, almost all these approaches have only been empirically investigated. | 14,738 |
requirements. always addition, was In motivation their on computational based | In addition, their motivation was always based on computational requirements. | 14,739 |
For oracle local a inequality. this SVM, general derive we | For this local SVM, we derive a general oracle inequality. | 14,740 |
of evolution in Levy bacterial flights the space of model DNA. mutations time | Levy flights in the space of mutations model time evolution of bacterial DNA. | 14,741 |
conditions and This as covers background. dataset cluttered resolution hard imagery such low | This dataset covers hard conditions such as low resolution imagery and cluttered background. | 14,742 |
are Convolutional Neural with marks. The Network results achieved approach, a similar rather compared achieving | The achieved results are compared with a Convolutional Neural Network approach, achieving rather similar marks. | 14,743 |
matcher. similarities combining by deep and are features k re-ranked from candidates COTS the The | The k candidates are re-ranked by combining similarities from deep features and the COTS matcher. | 14,744 |
between this novel connection we two a discuss paper, In approaches. these | In this paper, we discuss a novel connection between these two approaches. | 14,745 |
and respond manage dynamic variation. policies to need to that systems to Ecological are them | Ecological systems are dynamic and policies to manage them need to respond to that variation. | 14,746 |
in of time) could fishing through Costs (here different policy changes forms. quotas adjustment take | Costs of policy adjustment (here changes in fishing quotas through time) could take different forms. | 14,747 |
for different costs show optimal of policies. have contrasting implications We forms policy how | We show how different forms of policy costs have contrasting implications for optimal policies. | 14,748 |
and of the PSS shown represent LHS to are SS the spectrum. True extremes | True SS and LHS are shown to represent the extremes of the PSS spectrum. | 14,749 |
derived along of with estimates The properties. asymptotic PSS is variance some | The variance of PSS estimates is derived along with some asymptotic properties. | 14,750 |
with and are designs discussed. use the Challenges PSS of their associated limitations | Challenges associated with the use of PSS designs and their limitations are discussed. | 14,751 |
numerical the the high-dimensional limitations and strengths examples Several method. highlight of | Several high-dimensional numerical examples highlight the strengths and limitations of the method. | 14,752 |
approach we Secondly, theoretical results provide some to GP the our relating paradigm. standard | Secondly, we provide some theoretical results relating our approach to the standard GP paradigm. | 14,753 |
superimposed the markers images for system of The video pedestrians tracking. outputs also with | The system also outputs video images of the pedestrians with superimposed markers for tracking. | 14,754 |
is The the in complex object image a problem recognition processing. | The object recognition is a complex problem in the image processing. | 14,755 |
thinning using applications operators its paper hypergraph algorithms. briefly for and morphological This describes | This paper briefly describes morphological operators using hypergraph and its applications for thinning algorithms. | 14,756 |
an descriptors feed classifier. These to used are then SVM | These descriptors are then used to feed an SVM classifier. | 14,757 |
stops that drift. summary, In growth show exponential we genetic | In summary, we show that exponential growth stops genetic drift. | 14,758 |
theoretical evolution with contrasts (e.g. non-selective of previous analyses result This | This result contrasts with previous theoretical analyses of non-selective evolution (e.g. | 14,759 |
which populations how (fixate). genetic drift), over traits take spread investigated and eventually | genetic drift), which investigated how traits spread and eventually take over populations (fixate). | 14,760 |
periodically particular shrinking models is expanding importance Consequently, populations. and it of of in life-cycles | Consequently, it is of particular importance in life-cycles models of periodically shrinking and expanding populations. | 14,761 |
The innovation. evolutionary an genes birth important new of motor of is | The birth of new genes is an important motor of evolutionary innovation. | 14,762 |
selection that genes are indicating purifying they functional. show probably These signatures, significant | These genes show significant purifying selection signatures, indicating that they are probably functional. | 14,763 |
the is in pose automatic bottlenecks one face problem recognition. of The | The pose problem is one of the bottlenecks in automatic face recognition. | 14,764 |
approach experimental considerably recognition our could improve The the results that show performance. | The experimental results show that our approach could considerably improve the recognition performance. | 14,765 |
models in programming (PP) specification statistical Bayesian of code. flexible allows Probabilistic | Probabilistic programming (PP) allows flexible specification of Bayesian statistical models in code. | 14,766 |
We function targets performance. localization propose also both an that and loss efficient segmentation | We also propose an efficient loss function that targets both localization and segmentation performance. | 14,767 |
those the are related functions. The brain to of oscillations frequency | The frequency of those oscillations are related to the brain functions. | 14,768 |
life. key human in symbols) play a Words (phrases role or | Words (phrases or symbols) play a key role in human life. | 14,769 |
and understanding. problem fundamental symbol) or is (phrase for representation the representation knowledge Word | Word (phrase or symbol) representation is the fundamental problem for knowledge representation and understanding. | 14,770 |
usually A symbol) a represents a word of name (phrase or category. | A word (phrase or symbol) usually represents a name of a category. | 14,771 |
is category complexity, proposed. to of In economy reduce the representation principle order representation | In order to reduce representation complexity, the economy principle of category representation is proposed. | 14,772 |
is of then A this relevant mesh way built cloud by from tetrahedralization. | A relevant mesh is then built from this cloud by way of tetrahedralization. | 14,773 |
computations. also The finite method element prove applications method other as can useful such for | The method can also prove useful for other applications such as finite element method computations. | 14,774 |
may influence distribution affect ecosystem Factors settlement livestock that degradation. | Factors that influence livestock settlement distribution may affect ecosystem degradation. | 14,775 |
availability settlements and livestock influence surface We hypothesize distribution. groundwater that | We hypothesize that surface and groundwater availability influence livestock settlements distribution. | 14,776 |
performance of the to are conducted method. proposed Extensive superior the show experiments | Extensive experiments are conducted to show the superior performance of the proposed method. | 14,777 |
recollected complex, on timescales. Memories operating retained, and processes are stored, multiple coupled through | Memories are stored, retained, and recollected through complex, coupled processes operating on multiple timescales. | 14,778 |
bidirectional. variables and interactions are fast Importantly, between the slow | Importantly, the interactions between fast and slow variables are bidirectional. | 14,779 |
are biological fingerprints dynamical Structural in unclear. networks evolutionary optimization and still of | Structural and dynamical fingerprints of evolutionary optimization in biological networks are still unclear. | 14,780 |
with Mixture three Applicability unsupervised real-world scenarios employing classification is Gaussian showcased Models. | Applicability is showcased with three real-world unsupervised classification scenarios employing Gaussian Mixture Models. | 14,781 |
The neural-symbolic algorithm with exploiting contrasted latter is side-information. a | The latter is contrasted with a neural-symbolic algorithm exploiting side-information. | 14,782 |
analysis. has performed surveillance scene on reason, understanding For been and this research extensive | For this reason, extensive research has been performed on surveillance scene understanding and analysis. | 14,783 |
groups scenes. have most considered single of adjacent or studies scenes, However, | However, most studies have considered single scenes, or groups of adjacent scenes. | 14,784 |
near-infrared spectroscopy pain investigated have based cerebral this hemodynamics (NIRS). In on we paper via | In this paper we have investigated pain based on cerebral hemodynamics via near-infrared spectroscopy (NIRS). | 14,785 |
to segmentation. learning machine model-based ventricle applied successfully (LV) left been Recently, has | Recently, machine learning has been successfully applied to model-based left ventricle (LV) segmentation. | 14,786 |
techniques. Both supervised learning driven by are | Both are driven by supervised learning techniques. | 14,787 |
and moving particular irregularly These, valid in not for objects. always, be however, may fast | These, however, may not be valid always, in particular for fast and irregularly moving objects. | 14,788 |
meaning The this codon phenomenon, usage controversial. as is known biological of bias, still | The biological meaning of this phenomenon, known as codon usage bias, is still controversial. | 14,789 |
difficult. task The the makes human actions of complex recognition action of nature articulated and | The articulated and complex nature of human actions makes the task of action recognition difficult. | 14,790 |
models. either representations mainly Existing approaches body-part on articulated bag-of-feature or rely | Existing approaches mainly rely on either bag-of-feature representations or articulated body-part models. | 14,791 |
the and relationship between the unexplored. substantially is the image segments action However, still | However, the relationship between the action and the image segments is still substantially unexplored. | 14,792 |
To this a we VLAD. version end, of kernelized introduce | To this end, we introduce a kernelized version of VLAD. | 14,793 |
adopted, GoogLeNet, Two three and learning recently proposed different CaffeNet are modalities. architectures, with | Two recently proposed architectures, CaffeNet and GoogLeNet, are adopted, with three different learning modalities. | 14,794 |
strongest as the unisensory enhancement expressed of Crossmodal response. commonly a is proportion | Crossmodal enhancement is commonly expressed as a proportion of the strongest unisensory response. | 14,795 |
summation the defined under unisensory probability combining responses is dependence. maximal Optimality by stochastic negative | Optimality is defined by probability summation combining the unisensory responses under maximal negative stochastic dependence. | 14,796 |
from set neurons. is single collected SC exemplified data This a with | This is exemplified with a data set collected from single SC neurons. | 14,797 |
index require any specific does new easy-to-compute distributional assumption. The not | The new easy-to-compute index does not require any specific distributional assumption. | 14,798 |
potential has role been studied coding, in its and for decision-making. Metastability sensory memory | Metastability has been studied for its potential role in sensory coding, memory and decision-making. | 14,799 |
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