text stringlengths 27 153 | label stringlengths 27 153 | id int64 0 40k |
|---|---|---|
the some stationary be distribution cases, effect on substantial. the In can | In some cases, the effect on the stationary distribution can be substantial. | 13,600 |
several even scalable This instances. to large with method our million makes training datasets | This makes our method scalable even to large datasets with several million training instances. | 13,601 |
Neural image classification (CNN) state-of-the-art Networks models Convolutional many tasks. for are | Convolutional Neural Networks (CNN) are state-of-the-art models for many image classification tasks. | 13,602 |
agreement our accuracy similar between the is pathologists. method inter-observer classification to of The | The classification accuracy of our method is similar to the inter-observer agreement between pathologists. | 13,603 |
data task. challenging mining is a mining pattern under constraints Sequential | Sequential pattern mining under constraints is a challenging data mining task. | 13,604 |
to what This interpretable our is us and object representation easily visualize allows detector "sees". | This representation is easily interpretable and allows us to visualize what our object detector "sees". | 13,605 |
correspondences estimation between The of resp. two images | The estimation of correspondences between two images resp. | 13,606 |
core point problem in vision. sets a computer is | point sets is a core problem in computer vision. | 13,607 |
so to second have this been methods Several proposed solve called problem. order | Several so called second order methods have been proposed to solve this problem. | 13,608 |
no guarantees order theoretical are known. third algorithms these most of For | For most of these third order algorithms no theoretical guarantees are known. | 13,609 |
cameras. behaviors of using front are work, individuals' In web in this computers studied | In this work, individuals' behaviors in front of computers are studied using web cameras. | 13,610 |
for data in non-Gaussian. of the problem analysis that are general We factor discriminative consider | We consider the problem of discriminative factor analysis for data that are in general non-Gaussian. | 13,611 |
the proposed. model based data the Bayesian of is on A ranks | A Bayesian model based on the ranks of the data is proposed. | 13,612 |
rank-likelihood. We first {\em introduce the of new max-margin} a version | We first introduce a new {\em max-margin} version of the rank-likelihood. | 13,613 |
developed robust technique. we work, In and have this departure a detection lane warning | In this work, we have developed a robust lane detection and departure warning technique. | 13,614 |
on single sensor. system camera based Our is | Our system is based on single camera sensor. | 13,615 |
using fitted to curves cubic and RANSAC. robust assumed are be Lanes | Lanes are assumed to be cubic curves and fitted using robust RANSAC. | 13,616 |
the and method This can detect lanes road boundary. its reliably of | This method can reliably detect lanes of the road and its boundary. | 13,617 |
flow lane angle optical an For departure based used. method were | For lane departure angle an optical flow based method were used. | 13,618 |
for probabilistic this we spoken systems. a framework In paper, goal-driven present dialog | In this paper, we present a probabilistic framework for goal-driven spoken dialog systems. | 13,619 |
that also We DM efficient are DM. based more demonstrate than entropy-based non-entropy strategies | We also demonstrate that entropy-based DM strategies are more efficient than non-entropy based DM. | 13,620 |
powerful limited from Deep learning and flexibility. suffer expensive tools but methods computation often are | Deep learning methods are powerful tools but often suffer from expensive computation and limited flexibility. | 13,621 |
deep alternative is An models representations. combine with light-weight to | An alternative is to combine light-weight models with deep representations. | 13,622 |
As absent. in problems, visual several exist unified cases is framework a successful | As successful cases exist in several visual problems, a unified framework is absent. | 13,623 |
boosting pre-trained transfers feed CCF CNN features to from forest low-level models model. the | CCF transfers low-level features from pre-trained CNN models to feed the boosting forest model. | 13,624 |
increasingly is popular, very is egocentric browsing video While it becoming difficult. | While egocentric video is becoming increasingly popular, browsing it is very difficult. | 13,625 |
segment Recognizing (index) and to egocentric activities us unstructured temporally videos. long-term long enables | Recognizing long-term activities enables us to temporally segment (index) long and unstructured egocentric videos. | 13,626 |
input, flow a sparse camera optical classifies activity. Given as wearer's the volume CNN our | Given a sparse optical flow volume as input, our CNN classifies the camera wearer's activity. | 13,627 |
widely cancer in Bladder the world. spread is | Bladder cancer is widely spread in the world. | 13,628 |
exploration remains clinical surface. internal for of procedure bladder Video-endoscopy visual the standard the | Video-endoscopy remains the standard clinical procedure for visual exploration of the bladder internal surface. | 13,629 |
And, lesions over several typically, images. spread are, | And, lesions are, typically, spread over several images. | 13,630 |
problems. addresses classes different, optimization two of paper yet This interrelated | This paper addresses two classes of different, yet interrelated optimization problems. | 13,631 |
We consider (aka existential for specifying formalism ontologies. Datalog+) as rules a | We consider existential rules (aka Datalog+) as a formalism for specifying ontologies. | 13,632 |
inconsistent imply Taken tree together, under inference mild results these conditions. | Taken together, these results imply inconsistent tree inference under mild conditions. | 13,633 |
convergence world significant and Our demonstrates sets. on data algorithm synthetic improvements real | Our algorithm demonstrates significant convergence improvements on synthetic and real world data sets. | 13,634 |
demonstrate neural ensembles that of the modeled. can activity be quantitatively we Here | Here we demonstrate that the activity of neural ensembles can be quantitatively modeled. | 13,635 |
this bias in computer been ignored mostly However, has vision. volumetric | However, this volumetric bias has been mostly ignored in computer vision. | 13,636 |
significant We segmentation to this methods due artifacts demonstrate reconstruction and in standard bias. | We demonstrate significant artifacts in standard segmentation and reconstruction methods due to this bias. | 13,637 |
of centers dynamics Epidemic is stochastic a interacting network considered. epidemic in | Epidemic dynamics in a stochastic network of interacting epidemic centers is considered. | 13,638 |
The migration epidemic modelled by processes and are chains. Markov's | The epidemic and migration processes are modelled by Markov's chains. | 13,639 |
probability the derived. Explicit formulas migration process for are of distribution | Explicit formulas for probability distribution of the migration process are derived. | 13,640 |
and numerically. Dependence parameters population, of outbreak parameters coupling analytically initial is parameters, on examined | Dependence of outbreak parameters on initial parameters, population, coupling parameters is examined analytically and numerically. | 13,641 |
The for process general approximation a derived. is mean migration field | The mean field approximation for a general migration process is derived. | 13,642 |
in from are We cues. interested geometric automatic scene understanding | We are interested in automatic scene understanding from geometric cues. | 13,643 |
real-time semantic we the reconstruction. of aim To loop segmentation to this end, bring in | To this end, we aim to bring semantic segmentation in the loop of real-time reconstruction. | 13,644 |
world segment any real without scenes Importantly, to noise our network is modelling. able | Importantly, our network is able to segment real world scenes without any noise modelling. | 13,645 |
corner presents a descriptors. paper and novel shape This scale multi gradient based point a | This paper presents a novel multi scale gradient and a corner point based shape descriptors. | 13,646 |
large for method runtime The it the images. quasilinear suitable makes of segmenting | The quasilinear runtime of the method makes it suitable for segmenting large images. | 13,647 |
are medicine. of frequently in new special of today's Discoveries importance biomarkers for occurring diseases | Discoveries of new biomarkers for frequently occurring diseases are of special importance in today's medicine. | 13,648 |
interaction. of social strategy a Ethnocentrism behavioral scale seen on every is | Ethnocentrism is a behavioral strategy seen on every scale of social interaction. | 13,649 |
selects models boosts demonstrate it which increases that Game-theory ethnocentrism reproductive evolution because cooperation, fitness. | Game-theory models demonstrate that evolution selects ethnocentrism because it boosts cooperation, which increases reproductive fitness. | 13,650 |
simulations we test this hypothesis. Here, use agent-based to computer | Here, we use agent-based computer simulations to test this hypothesis. | 13,651 |
end-to-end This optimization. as lends opportunities as advanced introspection to for well | This lends to advanced introspection as well as opportunities for end-to-end optimization. | 13,652 |
HOG state-of-the-art applications improve Both on approaches. respective the | Both applications improve on the respective state-of-the-art HOG approaches. | 13,653 |
good necessary learning supervision representation? strong for visual a Is | Is strong supervision necessary for learning a good visual representation? | 13,654 |
Neural images millions a Convolutional semantically-labeled Do to train need of (CNN)? really Network we | Do we really need millions of semantically-labeled images to train a Convolutional Neural Network (CNN)? | 13,655 |
visual Our provides the key idea supervision. that tracking is | Our key idea is that visual tracking provides the supervision. | 13,656 |
a function Siamese-triplet network to representation. this We a design CNN loss train with ranking | We design a Siamese-triplet network with a ranking loss function to train this CNN representation. | 13,657 |
toward the surveys detection. This current review made anomaly article video-based progresses | This review article surveys the current progresses made toward video-based anomaly detection. | 13,658 |
aspect fundamental for that address anomaly most is, feature video video representation. the We detection, | We address the most fundamental aspect for video anomaly detection, that is, video feature representation. | 13,659 |
obtained Large data of Internet. quantities can the easily video from unlabeled be | Large quantities of unlabeled video data can be easily obtained from the Internet. | 13,660 |
trainable solution document a images. this binarization fully present In for paper degraded we | In this paper we present a fully trainable binarization solution for degraded document images. | 13,661 |
out-of-domain generalization data. good capabilities shows the trained binarization Additionally, classifier on document | Additionally, the trained document binarization classifier shows good generalization capabilities on out-of-domain data. | 13,662 |
it direction will a Given move, scene, move? in is to and what what going | Given a scene, what is going to move, and in what direction will it move? | 13,663 |
could non-semantic action form a be considered question Such a prediction. of | Such a question could be considered a non-semantic form of action prediction. | 13,664 |
this convolutional network approach present prediction. we (CNN) for motion based a In neural work, | In this work, we present a convolutional neural network (CNN) based approach for motion prediction. | 13,665 |
large previous approaches all margins. outperform We by | We outperform all previous approaches by large margins. | 13,666 |
is a Particle Swarm (PSO) problems. solving optimization continuous Optimization nature-inspired meta-heuristic for | Particle Swarm Optimization (PSO) is a nature-inspired meta-heuristic for solving continuous optimization problems. | 13,667 |
purpose, the is dimension mathematically. in each analyzed For particles' potential this | For this purpose, the particles' potential in each dimension is analyzed mathematically. | 13,668 |
the reasonable particles' made. some assumptions if Additionally, are behavior on potential the | Additionally, some reasonable assumptions on the behavior if the particles' potential are made. | 13,669 |
KITTI on We model also for estimation dataset. the car train distance a | We also train a model for car distance estimation on the KITTI dataset. | 13,670 |
real can approach to direct Results well our perception that show generalize driving images. | Results show that our direct perception approach can generalize well to real driving images. | 13,671 |
on website. project available data and Source code are our | Source code and data are available on our project website. | 13,672 |
regularity. presents and examples intriguing processes proceed high multiple precision at of which Nature | Nature presents multiple intriguing examples of processes which proceed at high precision and regularity. | 13,673 |
activity among (ST). are precancerous of studied The tissues S-transform through and evolution development | The evolution and development of precancerous activity among tissues are studied through S-transform (ST). | 13,674 |
are Additionally, particularly environmental non-bilaterian high not levels. bodyplans expected oxygen require to | Additionally, non-bilaterian bodyplans are not expected to require particularly high environmental oxygen levels. | 13,675 |
the panicea. with is demonstrating consistent of low-oxygen Halichondria sponge experimental evidence tolerance the This | This is consistent with experimental evidence demonstrating the low-oxygen tolerance of the sponge Halichondria panicea. | 13,676 |
analyze We positions. of choosing strategies propose these several and | We propose and analyze several strategies of choosing these positions. | 13,677 |
This plant for video paper proposes novel framework fluorescence processing. a | This paper proposes a novel framework for fluorescence plant video processing. | 13,678 |
within plant interested research The photosynthetic in analysis community plant. the is a leaf-level | The plant research community is interested in the leaf-level photosynthetic analysis within a plant. | 13,679 |
as We tracking identify alignment, segmentation, this problem. and multi-leaf a joint | We identify this as a joint multi-leaf segmentation, alignment, and tracking problem. | 13,680 |
of also The limitation algorithm studied. is our | The limitation of our algorithm is also studied. | 13,681 |
and show of results the robustness effectiveness, Experimental method. proposed the efficiency, | Experimental results show the effectiveness, efficiency, and robustness of the proposed method. | 13,682 |
great from still Event image images for understanding. is importance recognition of | Event recognition from still images is of great importance for image understanding. | 13,683 |
called a new we Neural Object-Scene Specifically, Convolutional architecture, (OS-CNN). design Network | Specifically, we design a new architecture, called Object-Scene Convolutional Neural Network (OS-CNN). | 13,684 |
Furthermore, are complementary to networks and very-deep other. find deep we that the each | Furthermore, we find that the deep and very-deep networks are complementary to each other. | 13,685 |
to Potential Application: of development methodology include of reduce study carsickness. a applications this | Application: Potential applications of this study include development of a methodology to reduce carsickness. | 13,686 |
significant It problem. potentially is yet under-researched a | It is a potentially significant yet under-researched problem. | 13,687 |
dimension of spatial signal, Independently image etc. image, (one-dimensional images, volume of the | Independently of the image spatial dimension (one-dimensional signal, image, volume of images, etc. | 13,688 |
can for problematic These learning established many requirements for to act. methods be | These requirements can be problematic for many established methods for learning to act. | 13,689 |
time free However, settings. planning is most not in real-world | However, planning time is not free in most real-world settings. | 13,690 |
Markov and for We the analyze (MDPs). problem Decision formalize Processes metareasoning | We formalize and analyze the metareasoning problem for Markov Decision Processes (MDPs). | 13,691 |
approximations. discuss, motivating optimal we be general metareasoning impractical, to reasons turns out For | For reasons we discuss, optimal general metareasoning turns out to be impractical, motivating approximations. | 13,692 |
two and cons approaches pros are elucidated. the The of | The pros and cons of the two approaches are elucidated. | 13,693 |
can work view The and non-overlapping have layout. in the of independently cameras larger field | The cameras work independently and can have larger field of view in the non-overlapping layout. | 13,694 |
with. dealt be a should scale ambiguity However, factor | However, a scale factor ambiguity should be dealt with. | 13,695 |
the Kalman filter extended is For approaches, real-time recursive as a estimator. both used | For both approaches, the extended Kalman filter is used as a real-time recursive estimator. | 13,696 |
with The are and studied alike. verified real experiments approaches synthetic | The approaches studied are verified with synthetic and real experiments alike. | 13,697 |
enumerate provide notes. We a features few and its implementation novel | We enumerate its novel features and provide a few implementation notes. | 13,698 |
weighted the also We a algorithm filtering. fast provide for | We also provide a fast algorithm for the weighted filtering. | 13,699 |
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