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evolution Explosion was networks explain these of how the would possible. The Cambrian higher new
The evolution of these new higher networks would explain how the Cambrian Explosion was possible.
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we of the detection model symmetries. automatic common address work, problematic In this
In this work, we address the automatic detection of common problematic model symmetries.
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several symmetries. broad detect derive to of to classes We how algorithms show local
We show how to derive algorithms to detect several broad classes of local symmetries.
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contextual use notably temporal discounting nor neither classical certain cases, Nevertheless, cannot discounting. model uniform
Nevertheless, neither classical uniform discounting nor contextual cannot model certain use cases, notably temporal discounting.
9,003
discounting optimistic, proposed. and new contextual proportional schemes, are article, In this conservative,
In this article, new contextual discounting schemes, conservative, proportional and optimistic, are proposed.
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operations examined. are discounting properties Some these of
Some properties of these discounting operations are examined.
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be of to is shown these schemes. a discounting Classical case special
Classical discounting is shown to be a special case of these schemes.
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are temporal motivating cases reliability discounting. of Two and to discussed: application source modelling
Two motivating cases are discussed: modelling of source reliability and application to temporal discounting.
9,007
in the developed The were MATLAB. implementations described software
The implementations described were developed in the software MATLAB.
9,008
There features proposed of to set two initial an correspondences. approaches are establish
There are proposed two approaches to establish an initial set of features correspondences.
9,009
We propose location. Bayesian a information and textural with to similarity color about approach merge
We propose a Bayesian approach to merge textural similarity with information about color and location.
9,010
of our the real through demonstrate Lastly, experiments on images. utility we algorithm
Lastly, we demonstrate the utility of our algorithm through experiments on real images.
9,011
the volume one the changes lineage. spectacular brain is in in of Growth most hominid
Growth in brain volume is one of the most spectacular changes in the hominid lineage.
9,012
agrees anthropological that on community The point.
The anthropological community agrees on that point.
9,013
contributing pressures growth. been reached No however, selection on to that consensus, has
No consensus, however, has been reached on selection pressures contributing to that growth.
9,014
accepted were this peculiar. dynamics growth the broadly It is that of
It is broadly accepted that the dynamics of this growth were peculiar.
9,015
Growth very in or was scale of even the time. rapid evolutionary fast,
Growth was very fast, or even rapid in the evolutionary scale of time.
9,016
paper Bernstein penalization nonconvex using functions. this In we study
In this paper we study nonconvex penalization using Bernstein functions.
9,017
this losses. by public toxin The economic caused raised caused outbreaks health and serious crisis
The outbreaks caused by this toxin raised serious public health crisis and caused economic losses.
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detection relevant food-borne food Rapid of pathogens. contamination is of the containment therefore for
Rapid detection of food contamination is therefore relevant for the containment of food-borne pathogens.
9,019
ensemble-of-forests introduce the ensemble-of-trees We of a model. model, generalization the
We introduce the ensemble-of-forests model, a generalization of the ensemble-of-trees model.
9,020
addresses with the state-space filtering model. This problem of a paper
This paper addresses the problem of filtering with a state-space model.
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probabilistic model assume that a approaches (i.e. for Standard filtering observations for
Standard approaches for filtering assume that a probabilistic model for observations (i.e.
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observation given model) or least is at explicitly parametrically. the
the observation model) is given explicitly or at least parametrically.
9,023
demonstrate by experiments. first findings theoretical We these synthetic
We first demonstrate these theoretical findings by synthetic experiments.
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DNN Training. on data are by clickthrough The learned multi-task weights Ring of
The weights of multi-task DNN are learned on clickthrough data by Ring Training.
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show real effectiveness simulated results of proposed on dataset the method. the both and Experimental
Experimental results on both simulated and real dataset show the effectiveness of the proposed method.
9,026
an be excellent test used games Video techniques. as Artificial for Intelligence can bed (AI)
Video games can be used as an excellent test bed for Artificial Intelligence (AI) techniques.
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They and challenging difficult very makes AI to non-deterministic, it write players. are strong this
They are challenging and non-deterministic, this makes it very difficult to write strong AI players.
9,028
game Pac-Man. such is a Ms. example An of video
An example of such a video game is Ms. Pac-Man.
9,029
its adjacent cells pass update. each value at onto) state
pass its state value onto) adjacent cells at each update.
9,030
local complex global interactions Simple are with results achieved. truly
Simple local interactions with complex global results are truly achieved.
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Video computer representation and in an task the community. challenging vision important is
Video representation is an important and challenging task in the computer vision community.
9,032
call approximation We that we an ridge {matrix approach discuss approximation}.
We discuss an approximation approach that we call {matrix ridge approximation}.
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data analysis. in approach the of multivariate illustrate the Finally, applications approximation we
Finally, we illustrate the applications of the approximation approach in multivariate data analysis.
9,034
Microsoft built is Basic. system The Visual using
The system is built using Microsoft Visual Basic.
9,035
structure Ganglia central loops. and multiple a The subcortical cortical is in Basal involved
The Basal Ganglia is a central structure involved in multiple cortical and subcortical loops.
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saccade these target believed for loops responsible of selection. are Some to be
Some of these loops are believed to be responsible for saccade target selection.
9,037
two and loop. interactions loops It one the parallel is structured cortico-basal around of tecto-basal
It is structured around the interactions of two parallel cortico-basal loops and one tecto-basal loop.
9,038
or These concert reward may in regarding disturb work different each maximization. loops other
These different loops may work in concert or disturb each other regarding reward maximization.
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are these tasks. capabilities saccade and learning loops tested Interactions between on their different
Interactions between these loops and their learning capabilities are tested on different saccade tasks.
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model the predicts of dominate. the that loop absence in control, should prefrontal spatial Finally,
Finally, the model predicts that in absence of prefrontal control, the spatial loop should dominate.
9,041
onto these that information assume neighbours We can within pass graph. the others
We assume that these neighbours can pass information onto others within the graph.
9,042
ecologically temperature. humidity different and of in Both terms regions are also
Both regions are also ecologically different in terms of humidity and temperature.
9,043
and been some composition showing identified, in abundance. differences regional orders have Twenty-eight
Twenty-eight orders have been identified, showing some regional differences in composition and abundance.
9,044
difference in the diversity an This non-protected unexpected area. shows greater
This difference shows an unexpected greater diversity in the non-protected area.
9,045
agriculture) genus important becomes level. more at
agriculture) becomes more important at genus level.
9,046
However, tools of these architecture features development. simultaneously require to further brain probe
However, tools to simultaneously probe these features of brain architecture require further development.
9,047
contrast with null For we those obtained statistical our comparison, several models. results benchmark for
For statistical comparison, we contrast our results with those obtained for several benchmark null models.
9,048
that weighted organizational profiles graphs. diagnostic capture complex multi-resolution work in curves Our demonstrates
Our work demonstrates that multi-resolution diagnostic curves capture complex organizational profiles in weighted graphs.
9,049
a probabilistic extension of is logic CP-logic the FO(ID).
CP-logic is a probabilistic extension of the logic FO(ID).
9,050
levels gene of sustain expression different under conditions. identical systems gene Multistable external regulatory
Multistable gene regulatory systems sustain different levels of gene expression under identical external conditions.
9,051
known. not of a a which pathway transition is generally such However, triggers component
However, which component of a pathway triggers such a transition is generally not known.
9,052
atoms. In we constructs as any these to of refer paper generalized this
In this paper we refer to any of these constructs as generalized atoms.
9,053
effective authentication is method Biometrics automatically recognizing individuals. an for
Biometrics authentication is an effective method for automatically recognizing individuals.
9,054
enrollment phase identification of verification consists phase. The an authentication or and an
The authentication consists of an enrollment phase and an identification or verification phase.
9,055
presents interest for paper a technology. print (ROI) use palm region of of This
This paper presents use of a region of interest (ROI) for palm print technology.
9,056
of existing identification First been print have the for palm methods some introduced.
First some of the existing methods for palm print identification have been introduced.
9,057
work the Several extraction of region examined. topic have in been existing
Several existing work in the topic of region extraction have been examined.
9,058
The considerably algorithms and are related than fixed-point faster algorithms. new currently used
The new algorithms are considerably faster than currently used fixed-point and related algorithms.
9,059
accelerate $M$-estimators with incomplete initially. connection our with to symmetrized procedures $U$-statistics work In we
In connection with symmetrized $M$-estimators we work with incomplete $U$-statistics to accelerate our procedures initially.
9,060
EXMOVES, actions for introduces This of learned videos. features recognition exemplar-based in paper efficient
This paper introduces EXMOVES, learned exemplar-based features for efficient recognition of actions in videos.
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approach demonstrated are the recognition and benchmarks. The accuracy efficiency of several action on large-scale
The accuracy and efficiency of the approach are demonstrated on several large-scale action recognition benchmarks.
9,062
observable by described instances modeling called In traditional attributes. are predictive the variables,
In the traditional predictive modeling instances are described by observable variables, called attributes.
9,063
model for a the for to target variable instances. goal predicting is unseen The learn
The goal is to learn a model for predicting the target variable for unseen instances.
9,064
emphasize instances sensitive actions. all are changes equally in that to We not
We emphasize that not all instances are equally sensitive to changes in actions.
9,065
way other). opinion not have who do one the a or users strong
users who do not have a strong opinion one way or the other).
9,066
between has answer negation set been useful negation default The programming. strong in distinction and
The distinction between strong negation and default negation has been useful in answer set programming.
9,067
model similar by with semantics note Cabalar. stable that also hold the results We functional
We also note that similar results hold with the functional stable model semantics by Cabalar.
9,068
problem However, to sequence be shortest is known a NP-hard. of the finding synchronizing
However, the problem of finding a shortest synchronizing sequence is known to be NP-hard.
9,069
ASP synchronizing finite sequence, . shortest automata, Keywords:
Keywords: finite automata, shortest synchronizing sequence, ASP .
9,070
This classification (ConvNets). paper using Networks of the learnt Convolutional deep addresses image models, visualisation
This paper addresses the visualisation of image classification models, learnt using deep Convolutional Networks (ConvNets).
9,071
class to map, second saliency a a computes given technique specific image class. and The
The second technique computes a class saliency map, specific to a given image and class.
9,072
These a new in research (CASP). programming resulted set answer constraint area: efforts
These efforts resulted in a new research area: constraint answer set programming (CASP).
9,073
systems non-trivial is CASP requiring difficult, Yet, multiple in of expertise development the areas.
Yet, the development of CASP systems is difficult, requiring non-trivial expertise in multiple areas.
9,074
a for of This study need identifying principles development systems. suggests general hybrid a
This suggests a need for a study identifying general development principles of hybrid systems.
9,075
employed Computer in is eye-movement Study (HCI) of Human Interaction being research.
Study of eye-movement is being employed in Human Computer Interaction (HCI) research.
9,076
generalisation powerful dialectical Dung's frameworks argumentation a abstract Abstract of are (ADFs) frameworks.
Abstract dialectical frameworks (ADFs) are a powerful generalisation of Dung's abstract argumentation frameworks.
9,077
We why ASP significant queries current solvers. for the challenges pose practical explain these
We explain why these queries pose significant practical challenges for the current ASP solvers.
9,078
proof a as concatenation constructor. or acting
acting as a concatenation or proof constructor.
9,079
detected once the rules output. These four produced are directly edge images to and applied
These four rules are directly applied once to the images and produced edge detected output.
9,080
with problem, multiple images challenging planes Detecting one many is a in applications. but
Detecting multiple planes in images is a challenging problem, but one with many applications.
9,081
the homographies the us in participating planes. Features scene multiple multiple detected, provide
Features participating in the multiple homographies detected, provide us the multiple scene planes.
9,082
classification to and merging perform better .
to perform better classification and merging .
9,083
further and RAD-Seq-like between datasets. the explored We methods using simulated differences Seq-cap-
We further explored the differences between methods using simulated Seq-cap- and RAD-Seq-like datasets.
9,084
concentrate interest. resources on ignoring background can By object generative models of clutter, the their
By ignoring background clutter, generative models can concentrate their resources on the object of interest.
9,085
As to of chief physical is subject molecule DNA extensive life, the manipulations. informational
As the chief informational molecule of life, DNA is subject to extensive physical manipulations.
9,086
vivo not Surprisingly, affect regulation. sequence-dependent flexibility in does gene
Surprisingly, sequence-dependent flexibility does not affect in vivo gene regulation.
9,087
arbitrary problem. a is hard in Recognizing unconstrained text photographs natural multi-character
Recognizing arbitrary multi-character text in unconstrained natural photographs is a hard problem.
9,088
this this In we domain viz. an hard address equally in sub-problem paper,
In this paper, we address an equally hard sub-problem in this domain viz.
9,089
arbitrary Street recognizing numbers multi-digit imagery. from View
recognizing arbitrary multi-digit numbers from Street View imagery.
9,090
steps. typically and this the localization, solve to out recognition approaches separate segmentation, Traditional problem
Traditional approaches to solve this problem typically separate out the localization, segmentation, and recognition steps.
9,091
Manual costly, inefficient, ineffective. be and roadside potentially ultimately to enforcement known is dangerous,
Manual roadside enforcement is known to be inefficient, costly, potentially dangerous, and ultimately ineffective.
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automated need occupancy Therefore, HOV/HOT there for detection enforcement. vehicle to lane a support is
Therefore, there is a need for automated vehicle occupancy detection to support HOV/HOT lane enforcement.
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classification, detection. integrated for Convolutional and an for using framework Networks localization present We
We present an integrated framework for using Convolutional Networks for classification, localization and detection.
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are confidence. then than increase Bounding suppressed rather detection order boxes in to accumulated
Bounding boxes are then accumulated rather than suppressed in order to increase detection confidence.
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tasks can using show that single learned a We simultaneously be shared different network.
We show that different tasks can be learned simultaneously using a single shared network.
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task. state the In of a post-competition art work, establish the we new for detection
In post-competition work, we establish a new state of the art for the detection task.
9,097
best OverFeat. Finally, from model release extractor a we feature called our
Finally, we release a feature extractor from our best model called OverFeat.
9,098
kernel-based paper, propose method for an outlier-robust this identification. linear regularized In system we
In this paper, we propose an outlier-robust regularized kernel-based method for linear system identification.
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