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perceptions. applies to PSS: of it one aspect paper object The from learning situation first
The paper first applies it to one aspect of PSS: situation learning from object perceptions.
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capabilities Finally, these shape-based we illustrate experiments. with image classification
Finally, we illustrate these capabilities with shape-based image classification experiments.
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A core new laughter is presented. hypothesis on
A new core hypothesis on laughter is presented.
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a thesis. framework supports present this that We theoretical
We present a theoretical framework that supports this thesis.
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found are observed model. natural systems in several features We that mathematical the predicted by
We found that several features observed in natural systems are predicted by the mathematical model.
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two A by probability defined the is densities. ratio of density ratio
A density ratio is defined by the ratio of two probability densities.
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the is f-divergence estimator then test. for exploited homogeneity two-sample The
The f-divergence estimator is then exploited for the two-sample homogeneity test.
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we the the inference. for asymptotic studies, Through adequacy illustrate theory numerical finite-sample of
Through numerical studies, we illustrate the adequacy of the asymptotic theory for finite-sample inference.
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eigenmaps Laplacian model and relate the We to isomap.
We relate the model to Laplacian eigenmaps and isomap.
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(ALLE). performs likelihood LLE of exactly: that a Acyclic We LLE variant maximum introduce
We introduce a variant of LLE that performs maximum likelihood exactly: Acyclic LLE (ALLE).
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interesting demonstrate that vision on our can We several build applications system. also
We also demonstrate several interesting vision applications that can build on our system.
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the are sources coding. at the identified selected looking present automatically The in by sub-dictionaries
The present sources are identified by looking at the sub-dictionaries automatically selected in the coding.
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from present We and texture applications speaker separation. and identification instrument
We present applications from speaker and instrument identification and texture separation.
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automatically proposed detects method independent number the The pitch of a sources on recording.
The proposed pitch independent method automatically detects the number of sources on a recording.
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refers a Concept to drift learning time. problem stationary over non
Concept drift refers to a non stationary learning problem over time.
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application and training in The the mismatch often life real problems. data
The training and the application data often mismatch in real life problems.
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to training formation. set issues on the We focus relevant adaptive
We focus on the issues relevant to adaptive training set formation.
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unique be reaction limb can force. and distinguished ground by movements Human different
Human can be distinguished by different limb movements and unique ground reaction force.
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the Reasoning of Qualitative is An issue important representation direction. in Spatial relative
An important issue in Qualitative Spatial Reasoning is the representation of relative direction.
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in out is scalable these And useful granularity navigation that it tasks. turns
And it turns out that scalable granularity is useful in these navigation tasks.
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This intractable draws the boundary subclasses sharp a of the CDC. and between tractable
This draws a sharp boundary between the tractable and intractable subclasses of the CDC.
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considered In generation problem, Theory. based Rough is reduct paper Set this on it rule
In this paper it is considered rule reduct generation problem, based on Rough Set Theory.
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(RG) Generation are Rule (MRG) Modified and algorithms well-known. Rule Reduct Generation
Rule Reduct Generation (RG) and Modified Rule Generation (MRG) algorithms are well-known.
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algorithm tree type. structured PRG data uses
PRG algorithm uses tree structured data type.
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PRG algorithms MRG and algorithm is with compared RG .
PRG algorithm is compared with RG and MRG algorithms .
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of the to appears four. process the most autoregressive accurate an method Fitting be
Fitting an autoregressive process appears to be the most accurate method of the four.
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comparison package more R methods extending series. and to is provided test the An for
An R package is provided for extending the comparison to more methods and test series.
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computers played In via is network game a article the investigated. on connected turn-based four
In the article a turn-based game played on four computers connected via network is investigated.
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intelligence There with intelligence. computers and are with natural one three artificial
There are three computers with natural intelligence and one with artificial intelligence.
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monitors. seen all in by players' table player's point Game view own each is
Game table is seen by each player's own view point in all players' monitors.
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distributed For systems is used. TCP/IP protocol
For distributed systems TCP/IP protocol is used.
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. of Number of the the multiplication is equal following to combinations: distributions
Number of the distributions is equal to the multiplication of following combinations: .
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make an it difficult reasons AI. to develop These
These reasons make it difficult to develop an AI.
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levels the article of are AI developed. In four
In the article four levels of AI are developed.
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with General of are and VC-dimension considered. class loss predictors functions finite
General loss functions and class of predictors with finite VC-dimension are considered.
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of the focus In various we on procedures. the cross-validation proving consistency particular,
In particular, we focus on proving the consistency of the various cross-validation procedures.
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interest We in terms rate of of the each cross-validation point out procedure convergence. of
We point out the interest of each cross-validation procedure in terms of rate of convergence.
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three are of Here, key properties uncovered. novel the RSN
Here, three key novel properties of the RSN are uncovered.
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it also mutual information. measures is this observed of Second, divergence for
Second, this divergence it is observed also for measures of mutual information.
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The twofold. is respect with MCMC to literature the existing extension
The extension with respect to the existing MCMC literature is twofold.
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to ... demonstrate ability find the this . To
To demonstrate this ability to find the ... .
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The show viz. study the two of classification to importance is techniques, aim this of
The aim of this study is to show the importance of two classification techniques, viz.
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clustering, disabilities in of (LD) school-age decision learning children. prediction and tree of
decision tree and clustering, in prediction of learning disabilities (LD) of school-age children.
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extracted decision learning are Different of disabilities. from the tree rules for used prediction
Different rules extracted from the decision tree are used for prediction of learning disabilities.
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identified. any LD By techniques, applying these in can classification be child
By applying these classification techniques, LD in any child can be identified.
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symmetric, a to theory dispersal has for long be i.e. time assumed Metapopulation
Metapopulation theory for a long time has assumed dispersal to be symmetric, i.e.
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dispersing a connected migrants through bi-directionally preferred patches are without direction.
patches are connected through migrants dispersing bi-directionally without a preferred direction.
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natural symmetry often for e.g. populations However, broken, is
However, for natural populations symmetry is often broken, e.g.
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that suggest, results asymmetry Our negative metapopulation persistence. effects not imply on does in itself
Our results suggest, that asymmetry in itself does not imply negative effects on metapopulation persistence.
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disadvantages. calibration authors and have with advantages relative several Many presented their algorithms
Many authors have presented several calibration algorithms with their relative advantages and disadvantages.
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stereovision system, In a task. reconstruction view is multiple a challenging
In a stereovision system, multiple view reconstruction is a challenging task.
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detail total not the in been before. computational has presented However, procedure
However, the total computational procedure in detail has not been presented before.
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is aspect, situation In vision computer this undesirable.
In computer vision aspect, this situation is undesirable.
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We it in have fashion. an done elegant
We have done it in an elegant fashion.
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local camera its parameters system. are Firstly, coordinate calculated in
Firstly, camera parameters are calculated in its local coordinate system.
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calibrated. is whole That is, system the
That is, the whole system is calibrated.
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are pose vehicle for detection Results presented.
Results for vehicle pose detection are presented.
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Vermont. from St. Michael's in College Colchester,
from St. Michael's College in Colchester, Vermont.
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as US and train serve Air the Force Jim in to a Army meteorologist. enlisted
Jim enlisted in the US Army Air Force to train and serve as a meteorologist.
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the by took in army airbases war. the to him This China of close
This took him to army airbases in China by the close of the war.
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and from studied the discharge graduated Following Harvard the army, M.S. at with mathematics Jim
Following discharge from the army, Jim studied mathematics at Harvard and graduated with the M.S.
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a the lung revealed tuberculosis. physical The routine spot admissions' and the on possibility of
The routine admissions' physical revealed a spot on the lung and the possibility of tuberculosis.
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in began theory research under Herbert There Robbins. compound decision he
There he began research in compound decision theory under Herbert Robbins.
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told When his finish that degree. Jim felt to coming, pressure not renewal was
When told that renewal was not coming, Jim felt pressure to finish his degree.
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single-input-singleoutput a of some system any fuzzy expresses multi-input-single-output combination as systems. ALM
ALM expresses any multi-input-single-output system as a fuzzy combination of some single-input-singleoutput systems.
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an is on action Reward- goodness Penalty-Plane. The of modeled
The goodness of an action is modeled on Reward- Penalty-Plane.
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according updated to IDS plane. be this planes will
IDS planes will be updated according to this plane.
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method images with gives also. aliased result This good
This method gives good result with aliased images also.
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between a nodes(s). constraint and minimum put distance allowed on
and put a constraint on minimum allowed distance between nodes(s).
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relies models these (MCMC) techniques. Monte Markov typically inference for Bayesian chain Carlo on
Bayesian inference for these models typically relies on Markov chain Monte Carlo (MCMC) techniques.
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of Andrieu methods The et existing PMCMC al.
The existing PMCMC methods of Andrieu et al.
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Three approach. real are the demonstrate to examples used proposed
Three real examples are used to demonstrate the proposed approach.
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most the machine of learning. of important Classification is one tasks
Classification is one of the most important tasks of machine learning.
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of problem. classifying the the two-class technique reduces The with to option reject standard problem
The technique reduces the problem of classifying with reject option to the standard two-class problem.
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is into and then method mapped The support neural machines introduced vector networks.
The introduced method is then mapped into support vector machines and neural networks.
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the is option. framework data to Finally, multiclass ordinal reject extended with
Finally, the framework is extended to multiclass ordinal data with reject option.
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considers may Our integrated parameters out. block approach where model a be block
Our approach considers a block model where block parameters may be integrated out.
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real technique. data We validate the simulated analyze to both and
We analyze both simulated and real data to validate the technique.
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vector co-occurrence including multi-direction descriptor and local is A a multiscale information. scattering
A scattering vector is a local descriptor including multiscale and multi-direction co-occurrence information.
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computed is of with a It decompositions cascade and modulus. complex wavelet
It is computed with a cascade of wavelet decompositions and complex modulus.
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representation locally is This deformations. invariant linearizes translation and scattering
This scattering representation is locally translation invariant and linearizes deformations.
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a with vectors. A classification selection algorithm computed is scattering on model PCA supervised
A supervised classification algorithm is computed with a PCA model selection on scattering vectors.
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for results classification. State recognition the are and texture of obtained digit art handwritten
State of the art results are obtained for handwritten digit recognition and texture classification.
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results. experimental the latter and proven flexibility variety of of The a functionality with is
The functionality and flexibility of the latter is proven with a variety of experimental results.
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introduced. based are complementing on two thinning point processes and tests additional Furthermore,
Furthermore, two additional tests based on thinning and complementing point processes are introduced.
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method structured prediction. popular probabilistic tutorial fields, describes conditional This for random a
This tutorial describes conditional random fields, a popular probabilistic method for structured prediction.
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application and seen natural vision, bioinformatics. processing, wide CRFs language in computer have
CRFs have seen wide application in natural language processing, computer vision, and bioinformatics.
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contact We patterns. propose exploiting temporal immunization schemes two
We propose two immunization schemes exploiting temporal contact patterns.
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implemented of could only local practice. these rely information and Both on obtainable, in
Both of these rely only on obtainable, local information and could implemented in practice.
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by primary data producers. been analyses low-resolution limited Empirical further for have
Empirical analyses have been further limited by low-resolution data for primary producers.
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outliers identify used In reduce their approach addition, is Keller's and influences. to
In addition, Keller's approach is used to identify outliers and reduce their influences.
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Euclidean a change transformation the to distance. distance also to our defined We have
We have also defined a transformation to change our distance to the Euclidean distance.
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log-density of the gradient be requires computable. that It the
It requires that the gradient of the log-density be computable.
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examine potential Additionally, phenomena. shifts level related of DC these the to we
Additionally, we examine shifts of the DC potential level related to these phenomena.
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rule computationally The extra adding cost algorithm. simple AM adaptation with the no compared is
The adaptation rule is computationally simple adding no extra cost compared with the AM algorithm.
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of are simulation free. All methods these
All of these methods are simulation free.
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the of real general. usefulness Analysis data the demonstrates in of approach
Analysis of real data demonstrates the usefulness of the approach in general.
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of in the quasispecies model. threshold Eigen the the error We for investigate emergence
We investigate the error threshold for the emergence of quasispecies in the Eigen model.
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of the agreement. the ansatz validity check methods numerical find variational and excellent by We
We check the validity of the variational ansatz by numerical methods and find excellent agreement.
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the each We outperforms where other. method examples, describe
We describe examples, where each method outperforms the other.
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