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this Learned end LATCH. Three or Patch Codes descriptors, propose To of we the Arrangements
To this end we propose the Learned Arrangements of Three Patch Codes descriptors, or LATCH.
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results symmetric produce methods part on bilaterally mirror Do localization object images?
Do object part localization methods produce bilaterally symmetric results on mirror images?
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into look paper issue. closer we In a this this take
In this paper we take a closer look into this issue.
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of both theoretically upper our experimentally. show We tightness bounds and
We show tightness of our upper bounds both theoretically and experimentally.
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reasoning. The a did device develop brain not dedicated for
The brain did not develop a dedicated device for reasoning.
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problem regression is as a This representation the a of from formulated holistic image.
This is formulated as a regression problem from a holistic representation of the image.
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are desired. much Thus, inference methods reconstruction-free for
Thus, reconstruction-free methods for inference are much desired.
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are This compressive for measurements. search to us preserved properties that such leads in
This leads us to search for such properties that are preserved in compressive measurements.
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achieved results of Recently, approach deep various learning promising computer vision. fields in has
Recently, deep learning approach has achieved promising results in various fields of computer vision.
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simulated and We the experiments sensor). on results report experiments (using both physical Kinect
We report results on both simulated experiments and physical experiments (using the Kinect sensor).
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ground depth quantitative truth, results, a demonstrate Our against accuracy. in evaluated improvement
Our results, evaluated against ground truth, demonstrate a quantitative improvement in depth accuracy.
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performance. impacts on the recognition report how In we observations our data big this paper,
In this paper, we report our observations on how big data impacts the recognition performance.
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security in a Furthermore, performance scenario. certification report real-world the we
Furthermore, we report the performance in a real-world security certification scenario.
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clear between exists human There performance. gap recognition and still machine a
There still exists a clear gap between machine recognition and human performance.
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ahead experiments three present summarize and our recent lying challenges recognition. in We face
We summarize our experiments and present three challenges lying ahead in recent face recognition.
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these towards indicate solutions possible we challenges. And several
And we indicate several possible solutions towards these challenges.
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the Sion's characterize adopted to condition. theorem saddle is value minimax
Sion's minimax theorem is adopted to characterize the saddle value condition.
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the likelihood rule Least are favorable ratio decision and test robust derived. distributions, the robust
Least favorable distributions, the robust decision rule and the robust likelihood ratio test are derived.
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evaluate derivations. the and The exemplify theoretical simulations performed
The simulations performed evaluate and exemplify the theoretical derivations.
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proposed In a hybrid generative-descriptive the model. using vocabulary learning is approach, performed
In the proposed approach, vocabulary learning is performed using a hybrid generative-descriptive model.
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Clustering Entropy statistical a relationships parts algorithm. using are Conditional Minimum learned First, between
First, statistical relationships between parts are learned using a Minimum Conditional Entropy Clustering algorithm.
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representation part substructures. internal compressing Finally, the with discovered by are data compositions constructed
Finally, part compositions are constructed by compressing the internal data representation with discovered substructures.
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better methods. than performance retrieval CHOP shape state-of-the-art Additionally, provides retrieval shape the
Additionally, CHOP provides better shape retrieval performance than the state-of-the-art shape retrieval methods.
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widely and theory function. Task regarding current cited is difficulty fronto-parietal in cognitive control
Task difficulty is widely cited in current theory regarding cognitive control and fronto-parietal function.
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for of recognition vessels valuable in numerous transparent material is Visual applications. boundaries
Visual recognition of material boundaries in transparent vessels is valuable for numerous applications.
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boundary. properties image material were for Several indicators the examined as
Several image properties were examined as indicators for the material boundary.
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The boundary found curve algorithm. using Dijkstra's was optimal
The optimal boundary curve was found using Dijkstra's algorithm.
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particularly with esotropia e.g. the multisystem infantile ones syndrome), disorders, associated
infantile esotropia syndrome), particularly the ones associated with multisystem disorders, e.g.
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paper the to of the part The package. explains use main how
The main part of the paper explains how to use the package.
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in illustrate real we functionality and package's artificial both examples. the Furthermore,
Furthermore, we illustrate the package's functionality in both real and artificial examples.
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visual literature, very BOW has the drawbacks. Although the influential in model distinct traditional two
Although very influential in the literature, the traditional visual BOW model has two distinct drawbacks.
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instead We to the of robustness focus noises. the model on non-Gaussian
We instead focus on the robustness of the model to non-Gaussian noises.
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rows/features. Also further we the for method handling data with outlier extend the
Also we further extend the method for handling the data with outlier rows/features.
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the studies problem. subspace This segmentation paper
This paper studies the subspace segmentation problem.
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The is method clustering framework. used as spectral the
The spectral clustering method is used as the framework.
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LSR. can a regarded which adaptively be as and It method balances SSC
It can be regarded as a method which adaptively balances SSC and LSR.
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CASS. and experimental effectiveness theoretical show the Both results of
Both theoretical and experimental results show the effectiveness of CASS.
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similarities for seems claim reasonable not but others. adaptive some This for
This claim seems reasonable for some adaptive similarities but not for others.
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biology. evolutionary to evolution and modern theory Darwin's both results apply of to Our
Our results apply both to Darwin's theory of evolution and to modern evolutionary biology.
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consider the setting linear We regression in dimension. of high
We consider the setting of linear regression in high dimension.
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equations, Lotka-Volterra the matrix. necessitates of interaction nonzero the For coexistence determinant sustainable generalized
For the generalized Lotka-Volterra equations, sustainable coexistence necessitates nonzero determinant of the interaction matrix.
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Speech to automatically. predict words spoken Recognition searches the
Speech Recognition searches to predict the spoken words automatically.
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will that minimizes interesting. very building the a be Hence, the recognizer model cost of
Hence, building a model that minimizes the cost of the recognizer will be very interesting.
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the HMM the greatly minimize using of can cost recognizer these Consequently, systems. belief
Consequently, using the belief HMM recognizer can greatly minimize the cost of these systems.
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compared to recent convnets their pedestrian underperform Despite successes, diverse historically detectors. other
Despite their recent diverse successes, convnets historically underperform compared to other pedestrian detectors.
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(e.g. network We into explicitly problem modelling omit the deliberately the
We deliberately omit explicitly modelling the problem into the network (e.g.
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the present on Caltech convnet dataset. best and We KITTI detectors the
We present the best convnet detectors on the Caltech and KITTI dataset.
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experimentally filter and on this a framework different explore unifying observation we families. propose Based
Based on this observation we propose a unifying framework and experimentally explore different filter families.
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analysis. a systematic report results We enabling extensive
We report extensive results enabling a systematic analysis.
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solved is commonly most by heuristics. this complexity, problem Due to its
Due to its complexity, this problem is most commonly solved by heuristics.
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of a consists be to unpromising prevents filtering moves mechanism that evaluated. Such strategy
Such strategy consists of a filtering mechanism that prevents unpromising moves to be evaluated.
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the other well-known two the in proposed metaheuristics. addition, analyzed In effectiveness of strategy we
In addition, we analyzed the effectiveness of the proposed strategy in two other well-known metaheuristics.
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We tracking novel automatically propose to populations time-lapse cell in a images. approach
We propose a novel approach to automatically tracking cell populations in time-lapse images.
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such a Handwritten digit recognition is example of problem. one typical
Handwritten digit recognition is a typical example of one such problem.
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GA a local optimize the developed To has of regions based been selection approach here.
To optimize the selection of local regions a GA based approach has been developed here.
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calculated the functions Mass theorem. are by Bayes from using functions generalized plausibility
Mass functions are calculated from plausibility functions by using the generalized Bayes theorem.
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belief a Bayesian The compared classifier approach. the with of performances are
The performances of the belief classifier are compared with a Bayesian approach.
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implemented on distributions been far, So based various for distributions. continuous have generating techniques discrete
So far, various techniques have been implemented for generating discrete distributions based on continuous distributions.
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characteristics of have this kind been distributions The and of probability studied. properties
The characteristics and properties of this kind of probability distributions have been studied.
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been methods. the estimation related have trough Furthermore, computed parameters classical of
Furthermore, the estimation of related parameters have been computed trough classical methods.
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However, parameter the through studies issue a distributions methods. of these addressed few estimate Bayesian
However, a few studies addressed the parameter estimate issue of these distributions through Bayesian methods.
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The patterns vocal a are elements of in birdsong example. prime
The patterns of vocal elements in birdsong are a prime example.
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rules The such circuits neural understood. encoding poorly of in is
The encoding of such rules in neural circuits is poorly understood.
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player in key birdsong a together, these findings as determining syntax. HVC Taken implicate
Taken together, these findings implicate HVC as a key player in determining birdsong syntax.
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new Generalized were A Model developed. Rectangular
A new Generalized Rectangular Model were developed.
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of are Some the generalizations existing offered. models
Some generalizations of the existing models are offered.
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typical is general colocalization, more tasks. than or localization far weakly-supervised cosegmentation, This
This is far more general than typical colocalization, cosegmentation, or weakly-supervised localization tasks.
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The software chain the of using a modular rule derivatives. follows implementation
The software follows a modular implementation using the chain rule of derivatives.
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reinforce ecological migratory resilience, MPAs particularly also species. for
MPAs also reinforce ecological resilience, particularly for migratory species.
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even of result existing deterioration or Unsuitable condition. in planning the low effectiveness MPA might
Unsuitable MPA planning might result in low effectiveness or even deterioration of the existing condition.
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Today areas image of many support decision are processing. and networks used more in Bayesian
Today Bayesian networks are more used in many areas of decision support and image processing.
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image Network the Bayesian In our to quality. this uses approach segmented proposed modelize way,
In this way, our proposed approach uses Bayesian Network to modelize the segmented image quality.
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on of a is This calculated measures. that quality represent set local attributes evaluation
This quality is calculated on a set of attributes that represent local evaluation measures.
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by we a Bayesian In Network. the phase, model superpixels second the
In the second phase, we model the superpixels by a Bayesian Network.
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messages. is other negatively taken However, as of side the web inflammatory an such posting
However, an other side of the web is negatively taken such as posting inflammatory messages.
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warning this phenomenon. this enough to of reduce But, kind is not
But, this kind of warning is not enough to reduce this phenomenon.
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be is uncertain defined an more To proposal framework. realistic, within our
To be more realistic, our proposal is defined within an uncertain framework.
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infer technique an to edge We the region. potential of structure matching unknown the use
We use an edge matching technique to infer the potential structure of the unknown region.
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estimated along curves. the estimated Driven structure, by synthesis texture automatically performed the is
Driven by the estimated structure, texture synthesis is performed automatically along the estimated curves.
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sampling. in ranked estimation entropy the This of set is with non-parametric concerned paper
This paper is concerned with non-parametric estimation of the entropy in ranked set sampling.
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are properties studied. of estimator Theoretical the proposed
Theoretical properties of the proposed estimator are studied.
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proposed simple estimator rival sampling. estimator The with random in compared the is
The proposed estimator is compared with the rival estimator in simple random sampling.
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the are studies examine Monte-Carlo simulation conducted performance the estimator. to Several of
Several Monte-Carlo simulation studies are conducted to examine the performance of the estimator.
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disease We model developed a stage-structured (EVD). Ebola virus of
We developed a stage-structured model of Ebola virus disease (EVD).
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to spread, due cases, interventions, asymptomatic immunity, spatiotemporal patterns, etc. pre-existing contact
due to contact patterns, interventions, spatiotemporal spread, pre-existing immunity, asymptomatic cases, etc.
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independance on for made. usually asumption is each For fusion, technique data the used
For each technique used for data fusion, the asumption on independance is usually made.
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Markov recognition. Models Hidden (HMMs) for pattern methods are learning
Hidden Markov Models (HMMs) are learning methods for pattern recognition.
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a we using Model present belief In paper, second-order functions. this Markov Hidden
In this paper, we present a second-order Hidden Markov Model using belief functions.
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first-order in HMMs on the HMMs. works Previous been belief have focused
Previous works in belief HMMs have been focused on the first-order HMMs.
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We second-order the model. them extend to
We extend them to the second-order model.
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is semantically fundamental an task from for image. meaningful Segmentation a extracting regions
Segmentation is a fundamental task for extracting semantically meaningful regions from an image.
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to each goal object of location. accurately The to labels image is segmentation assign algorithms
The goal of segmentation algorithms is to accurately assign object labels to each image location.
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of cause assignment. ambiguities and However, shortcomings algorithms, label image in uncertainty image-noise,
However, image-noise, shortcomings of algorithms, and image ambiguities cause uncertainty in label assignment.
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other estimate computationally to methods label On the fail efficient hand, most uncertainty.
On the other hand, most computationally efficient methods fail to estimate label uncertainty.
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approach a For evaluation, dataset. quantitative we apply to the our icgbench
For a quantitative evaluation, we apply our approach to the icgbench dataset.
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utilize between usually tree body of Mixture representing structure model parts. for relations parts
Mixture of parts model usually utilize tree structure for representing relations between body parts.
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We other features. incorporate cues input from
We incorporate other cues from input features.
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although extracted easily be relative surveillance human For environments, example, not silhouettes can flawlessly. in
For example, in surveillance environments, human silhouettes can be extracted relative easily although not flawlessly.
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our under framework. other method can easily extend be The generalized features to candidate
The method can be easily extend to other candidate features under our generalized framework.
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The approach is of pedestrian experiments through the demonstrated on datasets. efficacy standard several
The efficacy of the approach is demonstrated through experiments on several standard pedestrian datasets.
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