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problem We event the address specific of video retrieval.
We address the problem of specific video event retrieval.
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This offers in complexity localizes videos. of parts gain significant a matching accurately the and
This offers a significant gain in complexity and accurately localizes the matching parts of videos.
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is decompressing descriptors. case, without the this performed video retrieval In
In this case, video retrieval is performed without decompressing the descriptors.
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of a of We alignment videos. consider set the temporal also
We also consider the temporal alignment of a set of videos.
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given enables global synchronous videos scene. of the a alignment playback The of temporal
The global temporal alignment enables synchronous playback of the videos of a given scene.
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Variational for scalable a technique inference inference. is Bayesian approximate
Variational inference is a scalable technique for approximate Bayesian inference.
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difficult algorithms requires to automate. calculations; it makes Deriving this variational tedious model-specific inference
Deriving variational inference algorithms requires tedious model-specific calculations; this makes it difficult to automate.
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automatic (ADVI). variational variational inference differentiation algorithm, propose an automatic We inference
We propose an automatic variational inference algorithm, automatic differentiation variational inference (ADVI).
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a a only Bayesian provides The and dataset; else. model user nothing
The user only provides a Bayesian model and a dataset; nothing else.
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a of no make assumptions We class and conjugacy models. support broad
We make no conjugacy assumptions and support a broad class of models.
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variational the appropriate and variational objective. automatically algorithm The an family optimizes determines
The algorithm automatically determines an appropriate variational family and optimizes the variational objective.
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a Stan implement ADVI We available now), (code programming in probabilistic framework.
We implement ADVI in Stan (code available now), a probabilistic programming framework.
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a train million the mixture We images. quarter model on
We train the mixture model on a quarter million images.
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in we variational model use inference With ADVI on any Stan. write we can
With ADVI we can use variational inference on any model we write in Stan.
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new data of brought The challenges scale Bayesian has inference. modern to
The modern scale of data has brought new challenges to Bayesian inference.
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are computationally particular, algorithms conventional In large expensive very sets. data for MCMC
In particular, conventional MCMC algorithms are computationally very expensive for large data sets.
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are Existing EP-MCMC algorithms approximation accuracy resampling. in and by limited difficulty
Existing EP-MCMC algorithms are limited by approximation accuracy and difficulty in resampling.
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a that problems. new In solves EP-MCMC these propose this PART article, we algorithm
In this article, we propose a new EP-MCMC algorithm PART that solves these problems.
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illustrating theoretical provide and extensive We justification empirical performance. experiments
We provide theoretical justification and extensive experiments illustrating empirical performance.
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present new We object YOLO, a to detection. approach
We present YOLO, a new approach to object detection.
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detection perform work repurposes on object to Prior detection. classifiers
Prior work on object detection repurposes classifiers to perform detection.
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Finally, learns representations general YOLO objects. of very
Finally, YOLO learns very general representations of objects.
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the vehicle. to Recognition Systems are License number used license Plate plate of determine a
License Plate Recognition Systems are used to determine the license plate number of a vehicle.
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recognize number system uses the Optical Recognition current The mainly to Character plate.
The current system mainly uses Optical Character Recognition to recognize the number plate.
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this There are to several system. problems
There are several problems to this system.
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applications (IoT). include Internet Things of under several Practical areas
Practical applications include several areas under Internet of Things (IoT).
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revolution virus. possibility eradicating to the therapeutic consider of This us leads
This therapeutic revolution leads us to consider possibility of eradicating the virus.
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cascade is required. of for However, care this, effective an
However, for this, an effective cascade of care is required.
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difficult achieve. will eradication However, to be
However, eradication will be difficult to achieve.
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English. for the of specifically designed ideas, are However, majority algorithms systems and existing
However, majority of the existing ideas, algorithms and systems are specifically designed for English.
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are directions promising research future discussed. for Moreover,
Moreover, promising directions for future research are discussed.
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Current empirical lack such demonstrate methods, but impressive Bayesian Quadrature, performance analysis. as theoretical
Current methods, such as Bayesian Quadrature, demonstrate impressive empirical performance but lack theoretical analysis.
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to challenge important An convergence guarantees. probabilistic rigorous reconcile integrators these with is
An important challenge is to reconcile these probabilistic integrators with rigorous convergence guarantees.
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state-of-the-art and FWBQ In competitive optimisation. simulations, with Frank-Wolfe out-performs methods alternatives based is on
In simulations, FWBQ is competitive with state-of-the-art methods and out-performs alternatives based on Frank-Wolfe optimisation.
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harmful, demanding involving a precise making. are decision events Emergency fire and potentially fast
Emergency events involving fire are potentially harmful, demanding a fast and precise decision making.
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There models. color-based using for are video methods fire on detection several
There are several methods for fire detection on video using color-based models.
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addressed question The how has extensively. humans been problem solve of
The question of how humans solve problem has been addressed extensively.
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overlooked. seems study the effectiveness of process of the to However, this be direct
However, the direct study of the effectiveness of this process seems to be overlooked.
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or forces show Results that to become rescaling. to sparse multiplicative either weights noise invariant
Results show that multiplicative noise forces weights to become either sparse or invariant to rescaling.
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a almost in science common and disciplines. is Sphere all engineering fitting problem
Sphere fitting is a common problem in almost all science and engineering disciplines.
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are Most methods in behavior. of iterative available
Most of methods available are iterative in behavior.
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how other with popular some behaves. and comparison this methods method also have shown We
We have also shown some comparison with other popular methods and how this method behaves.
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are approximations gradient. two costs efficient novel by Computational this reduced to
Computational costs are reduced by two novel efficient approximations to this gradient.
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setups wide in challenging problem. baseline Finding is a correspondences
Finding correspondences in wide baseline setups is a challenging problem.
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integrates novel a deformation method a introduce We that model.
We introduce a novel method that integrates a deformation model.
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function a its optimization. further employ majorization-minimization and We robust for matching utilize cost for
We further utilize a robust cost function for matching and employ majorization-minimization for its optimization.
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more existing maps Our accurate than that approaches. significantly experiments finds indicate our method
Our experiments indicate that our method finds significantly more accurate maps than existing approaches.
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starting zero deploy goal system with a to high-accuracy training Our examples. is
Our goal is to deploy a high-accuracy system starting with zero training examples.
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the over model improves As decreases. queries the on reliance crowdsourcing time,
As the model improves over time, the reliance on crowdsourcing queries decreases.
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and on sentiment We tested image approach three datasets---named-entity our recognition, classification, classification.
We tested our approach on three datasets---named-entity recognition, sentiment classification, and image classification.
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part learning. form process a probabilistic Gaussian models core of machine (GP)
Gaussian process (GP) models form a core part of probabilistic machine learning.
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paper each be this available replicate in experiment shortly. will to Code
Code to replicate each experiment in this paper will be available shortly.
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useful Such an is projection. invariance is but photography unique perspective to in
Such an invariance is useful in photography but is unique to perspective projection.
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extend We model to also slopes of analysis lines. our
We also extend our analysis to model slopes of lines.
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We catadioptric and XSlit using our XSlit mirrors. real cameras, analyses validate panoramas,
We validate our analyses using real XSlit cameras, XSlit panoramas, and catadioptric mirrors.
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efficient approach real to in simulation. enough interactive run rates time at our is Besides,
Besides, our approach is efficient enough to run at interactive rates in real time simulation.
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In there the debate mechanisms Saccharomyces cerevisiae, underlying is an ongoing important this regarding asymmetry.
In Saccharomyces cerevisiae, there is an ongoing debate regarding the mechanisms underlying this important asymmetry.
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suggested. in progress partial for AGI is A measure
A measure for partial progress in AGI is suggested.
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reasoning fundamental grounded proposed. on Based is a ability, that system Abstract
Abstract Based on that fundamental ability, a grounded reasoning system is proposed.
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trouble developments. real-time been its large has a However, to most complexity computational
However, its large computational complexity has been a trouble to most real-time developments.
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this The past growing decade seen a in interest process. has automating
The past decade has seen a growing interest in automating this process.
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approach automatic is proposed novel paper, of a hybrid for In this detection landmarks. cephalometric
In this paper, a novel hybrid approach is proposed for automatic detection of cephalometric landmarks.
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on those which edges. to tracing suggested landmarks located are is predict Edge method
Edge tracing method is suggested to predict those landmarks which are located on edges.
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least named last but estimation. the method not analysis The based is
The last but not the least method is named analysis based estimation.
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directly. relations a Therefore desired the estimating the in has suggested method novelty third
Therefore the third suggested method has a novelty in estimating the desired relations directly.
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individual used Deep in a recognize of scene. networks people are actions to the
Deep networks are used to recognize the actions of individual people in a scene.
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a step inference probabilistic mimics refinement message-passing step to in a similar model. graphical This
This refinement step mimics a message-passing step similar to inference in a probabilistic graphical model.
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more The that informative. the model other is tree for is clusters representing
The other is that the tree model for representing clusters is more informative.
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find method activations as embedding an uses images. Neural similar Convolutional semantically The Network to
The method uses Convolutional Neural Network activations as an embedding to find semantically similar images.
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typical based unigram images, is on the these From frequencies. most selected caption
From these images, the most typical caption is selected based on unigram frequencies.
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can and in work the verification modes. identification Furthermore, scheme both
Furthermore, the scheme can work in both identification and verification modes.
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linear our call We response (LRVB). method variational Bayes
We call our method linear response variational Bayes (LRVB).
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posterior. about the make no Indeed, the form assumptions of true we
Indeed, we make no assumptions about the form of the true posterior.
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low canonical in machine multidimensional problem a in Learning data structure is learning. dimensional of
Learning of low dimensional structure in multidimensional data is a canonical problem in machine learning.
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matrix we algorithm In online compute this to factorizations. propose paper, an
In this paper, we propose an online algorithm to compute matrix factorizations.
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The dictionary algorithm matrix. low-rank to updates performs
The algorithm performs low-rank updates to dictionary matrix.
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We for algorithm extend further handling the missing data.
We extend the algorithm further for handling missing data.
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and series online simulated The in data. tasks time evaluated real-world forecasting is method on
The method is evaluated in online time series forecasting tasks on simulated and real-world data.
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trees and phylogenetic (MUL-trees). a multi-labelled relationship close networks There between is
There is a close relationship between phylogenetic networks and multi-labelled trees (MUL-trees).
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in $F$ properties In $U$ operations the more detail. of paper, we study this and
In this paper, we study properties of the operations $U$ and $F$ in more detail.
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To analogue of develop a do graph we phylogenetic this, fibrations.
To do this, we develop a phylogenetic analogue of graph fibrations.
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way to coarse gives arguments. compare a This
This gives a coarse way to compare arguments.
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and convergence. properties: well-behaved two We that show model counting our normalization has
We show that our counting model has two well-behaved properties: normalization and convergence.
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theory with phenomenology are programmed consistent death. both show that Here and we
Here we show that both theory and phenomenology are consistent with programmed death.
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dynamics. is complicated with true domains large especially in This
This is especially true in large domains with complicated dynamics.
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prove policy. this bootstrapping near-optimal a process returns that We
We prove that this bootstrapping process returns a near-optimal policy.
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results representations. policies learned without in with skills requiring policy complex planning better Thus,
Thus, planning with learned skills results in better policies without requiring complex policy representations.
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for DTRN Codes the be will available.
Codes for the DTRN will be available.
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work action recognition video. This targets in human
This work targets human action recognition in video.
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descriptor of tracks The body along human appearance and motion aggregates parts. information
The descriptor aggregates motion and appearance information along tracks of human body parts.
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We Cooking method and and challenging JHMDB recent MPII our datasets. evaluate on the
We evaluate our method on the recent and challenging JHMDB and MPII Cooking datasets.
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consistent of For shows the the method datasets both improvement state our over art.
For both datasets our method shows consistent improvement over the state of the art.
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from more verification, is much face face Different identification demanding.
Different from face verification, face identification is much more demanding.
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The SNR is using method. the eigenvalue computed
The SNR is computed using the eigenvalue method.
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of to The a is algorithm our pair only input images. stereo
The only input to our algorithm is a pair of stereo images.
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network to We appearance classes. deep extract semantic for features use neural a the
We use a deep neural network to extract the appearance features for semantic classes.
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in urban Our Daimler scene competing dataset. method approaches other outperforms segmentation
Our method outperforms other competing approaches in Daimler urban scene segmentation dataset.
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semantic architecture using a network heterogeneous propose neural annotations. semi-supervised We for segmentation novel deep
We propose a novel deep neural network architecture for semi-supervised semantic segmentation using heterogeneous annotations.
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paper, the imaging problem is addressed. pulsed of this reconstruction In and terahertz
In this paper, the problem of terahertz pulsed imaging and reconstruction is addressed.
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for sparsity-inducing this A approach purpose. is proposed
A sparsity-inducing approach is proposed for this purpose.
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