text stringlengths 27 153 | label stringlengths 27 153 | id int64 0 40k |
|---|---|---|
(i) Our exemplars retrieving a target its with framework steps: two image (i.e. parses | Our framework parses a target image with two steps: (i) retrieving its exemplars (i.e. | 12,700 |
labels and the target of the references). assigned the | the assigned labels of the target and the references). | 12,701 |
Proc. Therefore, observation 'sliding window' et Renz a (M. applied al., we approach | Therefore, we applied a 'sliding observation window' approach (M. Renz et al., Proc. | 12,702 |
the results of demonstrate The effectiveness experimental the proposed method. | The experimental results demonstrate the effectiveness of the proposed method. | 12,703 |
information. that is of issue we role the address epigenetic Another | Another issue that we address is the role of epigenetic information. | 12,704 |
the in our records. senate simulations We modeling demonstrate of and application method for voting | We demonstrate our method in simulations and for the application of modeling senate voting records. | 12,705 |
common is face problem. yet in challenging a recognition Occlusion | Occlusion in face recognition is a common yet challenging problem. | 12,706 |
representation in (SRC) conditions sparse laboratory shown based classification While promising been has (i.e. performance | While sparse representation based classification (SRC) has been shown promising performance in laboratory conditions (i.e. | 12,707 |
scenarios. noiseless pixel in or much random it corrupted), worse practical performs | noiseless or random pixel corrupted), it performs much worse in practical scenarios. | 12,708 |
We occlusion coding the address (SOC) structured to occlusion problems. propose | We propose the structured occlusion coding (SOC) to address occlusion problems. | 12,709 |
coding in The two here structured lies folds. | The structured coding here lies in two folds. | 12,710 |
dictionary we recognition. one hand, structured On for a employ | On one hand, we employ a structured dictionary for recognition. | 12,711 |
formulation. other hand, structured the use this the sparsity propose we On in to | On the other hand, we propose to use the structured sparsity in this formulation. | 12,712 |
the Specifically, image. SOC simultaneously occlusion and the separates classifies | Specifically, SOC simultaneously separates the occlusion and classifies the image. | 12,713 |
large world. in in improvement occlusion handling achieves real significant Moreover, SOC | Moreover, SOC achieves significant improvement in handling large occlusion in real world. | 12,714 |
inference. consisting a two propose of data-driven of We framework phases | We propose a data-driven framework consisting of two phases of inference. | 12,715 |
Graph label can the algorithm. efficient The using joint assignment solved be Cuts | The joint label assignment can be solved using the efficient Graph Cuts algorithm. | 12,716 |
not of whole do allow algorithms existing analyses spectra. However, for automatic | However, existing algorithms do not allow for automatic analyses of whole spectra. | 12,717 |
automatic spectral is partitioning The of into fragments. idea protein signal mass main | The main idea is automatic partitioning of protein mass spectral signal into fragments. | 12,718 |
Gaussian obtained models. mixture separately into decomposed fragments The are | The obtained fragments are separately decomposed into Gaussian mixture models. | 12,719 |
network. gives of an accurate the connectivity of modeling neuronal This way the to | This gives way to an accurate modeling of the connectivity of the neuronal network. | 12,720 |
The important feature pathway. peripheral is the the neuronal all timing auditory in | The timing is the all important feature in the peripheral neuronal auditory pathway. | 12,721 |
build solid basis a provide tools mathematical for to The processes. auditory peripheral models | The mathematical tools provide a solid basis to build models for peripheral auditory processes. | 12,722 |
key in high-resolution a remote of interpretation imagery. classification sensing is Scene the problem | Scene classification is a key problem in the interpretation of high-resolution remote sensing imagery. | 12,723 |
have {e.g. been literature, In strategies the many used, sampling different | In the literature, many different sampling strategies have been used, {e.g. | 12,724 |
sampling, saliency-based keypoint-based sampling, etc. and dense random sampling sampling, | dense sampling, random sampling, keypoint-based sampling and saliency-based sampling, etc. | 12,725 |
support use machines additional We perform sparse model to vector reduction. | We use sparse support vector machines to perform additional model reduction. | 12,726 |
of classifier any gives form of reliable regularization. disparities pixel without estimations already Proposed | Proposed classifier gives reliable estimations of pixel disparities already without any form of regularization. | 12,727 |
to algorithm very comparable promising the Our results state-of-the-art. obtained | Our algorithm obtained very promising results comparable to the state-of-the-art. | 12,728 |
probabilistic (MCMC) achieved Chain data-driven by algorithm. inference is a Markov Carlo The Monte | The probabilistic inference is achieved by a data-driven Markov Chain Monte Carlo (MCMC) algorithm. | 12,729 |
kinetic is unclear. mechanism However, its underlying | However, its underlying kinetic mechanism is unclear. | 12,730 |
trajectories single-year most cohorts. is with consistent birth prediction This reported mortality for recently the | This prediction is consistent with the most recently reported mortality trajectories for single-year birth cohorts. | 12,731 |
while of rate protecting the increases senescence decreases. The the energy organism of | The rate of senescence of the organism increases while the protecting energy decreases. | 12,732 |
the mortality protecting plateau The minimal energy when is decreases reached levels. its to | The mortality plateau is reached when the protecting energy decreases to its minimal levels. | 12,733 |
protecting is the energy The rate of decreasing temperature-dependent. | The decreasing rate of the protecting energy is temperature-dependent. | 12,734 |
study and biochemical exploring This connection is demography. the between mechanism | This study is exploring the connection between biochemical mechanism and demography. | 12,735 |
approximations and scalable Heuristic high-performance empirically implementations tested. are described for | Heuristic approximations for scalable high-performance implementations are described and empirically tested. | 12,736 |
done are step. and for experimental The analysis each evaluation | The experimental evaluation and analysis are done for each step. | 12,737 |
We a that it real-world both believe research to application. is service academic useful and | We believe that it is a useful service to both academic research and real-world application. | 12,738 |
classifier It sub-interval in the maximum score the time. linear identifies with | It identifies the sub-interval with the maximum classifier score in linear time. | 12,739 |
two-fold. The advantages of our are method | The advantages of our method are two-fold. | 12,740 |
in lack training usually labelled of this requirement is by the practice, impaired samples. However, | However, in practice, this requirement is usually impaired by the lack of labelled training samples. | 12,741 |
a binarization In this is images framework multiple-expert multispectral work, proposed. for | In this work, a multiple-expert binarization framework for multispectral images is proposed. | 12,742 |
binarization enhance a uses binarization. performance the framework to wrapper the The gray-level of | The framework uses a binarization wrapper to enhance the performance of the gray-level binarization. | 12,743 |
of bands used the spectral preprocessing the textual enhance Nonlinear is information. individual to | Nonlinear preprocessing of the individual spectral bands is used to enhance the textual information. | 12,744 |
is framework truth results. a ground multispectral with promising The applied dataset to | The framework is applied to a ground truth multispectral dataset with promising results. | 12,745 |
presented The as and well. empirical analysis implementation details are | The implementation details and empirical analysis are presented as well. | 12,746 |
been of emergence the deep advanced The face state-of-the-art has recognition significantly learning. of by | The state-of-the-art of face recognition has been significantly advanced by the emergence of deep learning. | 12,747 |
effectiveness their motivates investigate to on This recognition. face us | This motivates us to investigate their effectiveness on face recognition. | 12,748 |
in LFW face given is of end. verification result the discussion further A | A further discussion of LFW face verification result is given in the end. | 12,749 |
classifiers compositions, alternative making specifying for or-nodes) (i.e. and (ii) local | or-nodes) for specifying alternative compositions, and (ii) making local classifiers (i.e. | 12,750 |
for capabilities structural account These preserving variabilities while us to the model compact. enable well | These capabilities enable us to account well for structural variabilities while preserving the model compact. | 12,751 |
vectors for arc fitting tangent at specified isovalues. the Hermite Circular the curves defines | Circular arc fitting defines the tangent vectors for the Hermite curves at specified isovalues. | 12,752 |
mixture low-dimensional robust Gaussian action models each using action approach using This a features. | This approach models each action using a Gaussian mixture using robust low-dimensional action features. | 12,753 |
Using an design MCMC to the that optimum. we converges techniques, global algorithm | Using MCMC techniques, we design an algorithm that converges to the global optimum. | 12,754 |
IHT. a called method uses The greedy reconstruction procedure Pseudo-inverse fast | The reconstruction procedure uses a fast greedy method called Pseudo-inverse IHT. | 12,755 |
truncation in iteration. an is efficient embedded The step power via achieved tensor the sparsity | The sparsity is achieved via an efficient truncation step embedded in the tensor power iteration. | 12,756 |
further is investigation theoretical A thorough conducted. | A thorough theoretical investigation is further conducted. | 12,757 |
inapplicable. work medial renders community's of segmentation the has much that been solved, axis figure-ground | that figure-ground segmentation has been solved, renders much of the medial axis community's work inapplicable. | 12,758 |
al. in article, computational et we framework, In this reported previously review Lee a | In this article, we review a computational framework, previously reported in Lee et al. | 12,759 |
method We scenes. images cluttered on of the evaluate | We evaluate the method on images of cluttered scenes. | 12,760 |
tasks. plays and Image essential representation related recognition image feature role in an | Image feature representation plays an essential role in image recognition and related tasks. | 12,761 |
is The data. learning paradigm state-of-the-art feature current labeled learning supervised from | The current state-of-the-art feature learning paradigm is supervised learning from labeled data. | 12,762 |
data media. social Instead, user learn behavior from we on collected | Instead, we learn from user behavior data collected on social media. | 12,763 |
from large-scale collect behavior dataset user image a and We Behance.net. | We collect a large-scale image and user behavior dataset from Behance.net. | 12,764 |
benchmarks. learned performs on that We also the competitively various recognition feature show | We also show that the learned feature performs competitively on various recognition benchmarks. | 12,765 |
For frontiers. the new than for half a transform more is Hough ever-expanding century, | For more than half a century, the Hough transform is ever-expanding for new frontiers. | 12,766 |
and research Thousands over have the of papers decades. applications evolved numerous | Thousands of research papers and numerous applications have evolved over the decades. | 12,767 |
space-demanding. out is all-inclusive and possible an survey Carrying enormously hardly | Carrying out an all-inclusive survey is hardly possible and enormously space-demanding. | 12,768 |
and solution approaches. clarified high computation time is The for storage with demand different | The high demand for storage and computation time is clarified with different solution approaches. | 12,769 |
Various explanations the findings discussed. for are | Various explanations for the findings are discussed. | 12,770 |
SBtab types, of types data. define also adjusting user own table The to can other | The user can also define own table types, adjusting SBtab to other types of data. | 12,771 |
be found further information tools, www.sbtab.net. at code, and Software can | Software code, tools, and further information can be found at www.sbtab.net. | 12,772 |
data have density in and (GMM) many Mixture applications Models clustering. found Gaussian estimation | Gaussian Mixture Models (GMM) have found many applications in density estimation and data clustering. | 12,773 |
to curved and data. model not the However, does strongly nonlinear well adapt | However, the model does not adapt well to curved and strongly nonlinear data. | 12,774 |
a introduce for to We identify materials. using novel method reflectance | We introduce a novel method for using reflectance to identify materials. | 12,775 |
material information discriminative disks reflectance encode recognition. efficient These and for accurate | These reflectance disks encode discriminative information for efficient and accurate material recognition. | 12,776 |
tasks. are image re-identification search person two For time, separately studied long and | For long time, person re-identification and image search are two separately studied tasks. | 12,777 |
two paper claims this contributions. Specifically, major | Specifically, this paper claims two major contributions. | 12,778 |
settings, are perspectives new closer to dataset and reaches provided. realistic Our | Our dataset reaches closer to realistic settings, and new perspectives are provided. | 12,779 |
datasets, three on we competitive compared results with report state-of-the-art methods. Moreover, the | Moreover, on three datasets, we report competitive results compared with the state-of-the-art methods. | 12,780 |
the this state-of-the-art surveys This topic. on paper techniques | This paper surveys the state-of-the-art techniques on this topic. | 12,781 |
available related and knowledge the first features crowded the to scenes. background We provide | We first provide the background knowledge and the available features related to crowded scenes. | 12,782 |
the performance also We datasets available outline evaluation. for | We also outline the available datasets for performance evaluation. | 12,783 |
discussions. presented Finally, some research future and with problems directions are promising | Finally, some research problems and promising future directions are presented with discussions. | 12,784 |
number is action of The rapidly. for growing categories recognition | The number of categories for action recognition is growing rapidly. | 12,785 |
popular the increasingly be 'zero-shot (ZSL) by issue ameliorated may learning' paradigm. This | This issue may be ameliorated by the increasingly popular 'zero-shot learning' (ZSL) paradigm. | 12,786 |
data, attribute-based Existing on and semantic image representations. studies focus ZSL primarily | Existing ZSL studies focus primarily on image data, and attribute-based semantic representations. | 12,787 |
propagation a segmentation. novel presents constraint This selective constrained for image method paper | This paper presents a novel selective constraint propagation method for constrained image segmentation. | 12,788 |
graph-based problem then efficient a Such constraint selective is learning an algorithm. by propagation solved | Such a selective constraint propagation problem is then solved by an efficient graph-based learning algorithm. | 12,789 |
the limitation predictive reliability thus power This downstream of overall and biological inference. reduces | This limitation reduces overall predictive power and thus the reliability of downstream biological inference. | 12,790 |
high objects. of an with contain are bounding ensemble potential to boxes Object proposals | Object proposals are an ensemble of bounding boxes with high potential to contain objects. | 12,791 |
with to offers dimensional functions inputs. It multivariate high the ability model also random | It also offers the ability to model multivariate random functions with high dimensional inputs. | 12,792 |
approached recognition counting can by visual be problems instances. Many | Many visual recognition problems can be approached by counting instances. | 12,793 |
to parameters of many how can instances occur in a encode tend Learned interest. class | Learned parameters can encode how many instances tend to occur in a class of interest. | 12,794 |
tackle of to or levels encoded soft diverse be ambiguity. relations Hard cardinality can | Hard or soft cardinality relations can be encoded to tackle diverse levels of ambiguity. | 12,795 |
data resonance process. an with medical imaging slow tool (MRI) Magnetic inherently essential acquisition is | Magnetic resonance imaging (MRI) is an essential medical tool with inherently slow data acquisition process. | 12,796 |
process to scanning apparatus. patient time acquisition requires Slow long be exposed to | Slow acquisition process requires patient to be long time exposed to scanning apparatus. | 12,797 |
emerging is processing. Sensing Compressive in theory signal an | Compressive Sensing is an emerging theory in signal processing. | 12,798 |
reduce reconstruction. It signal acquired for successful aims to required amount of the data | It aims to reduce the amount of acquired data required for successful signal reconstruction. | 12,799 |
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