text stringlengths 27 153 | label stringlengths 27 153 | id int64 0 40k |
|---|---|---|
the Thereby tractography. for subsequent we as input FOD improve | Thereby we improve the FOD as input for subsequent tractography. | 14,400 |
Additionally rendered viewpoints. we show images from novel | Additionally we show images rendered from novel viewpoints. | 14,401 |
individuals. is in interacting populations evolution game theory powerful framework for of studying Evolutionary a | Evolutionary game theory is a powerful framework for studying evolution in populations of interacting individuals. | 14,402 |
combining model energies, regularization propose new We common e.g. a segmentation | We propose a new segmentation model combining common regularization energies, e.g. | 14,403 |
combining balanced motion, image depth, texture, clustering color, features of arbitrary high-dimensional enforcing etc. location, | enforcing balanced clustering of arbitrary high-dimensional image features combining color, texture, location, depth, motion, etc. | 14,404 |
an Precision example system. application as considered is the agriculture for | Precision agriculture is considered as an example application for the system. | 14,405 |
also surveillance are increasing. So for the need techniques | So the need for surveillance techniques are also increasing. | 14,406 |
the detect system in developed a motion has to been The video. | The system has been developed to detect the motion in a video. | 14,407 |
video. from system, In motion the or real this the is time webcam from detected | In this system, motion is detected from the webcam or from the real time video. | 14,408 |
detect been method differencing used moving to target. Background frames the subtraction has and | Background subtraction and frames differencing method has been used to detect the moving target. | 14,409 |
difference method continuous two Similarly, difference frames two frames. takes between | Similarly, two frames difference method takes difference between two continuous frames. | 14,410 |
and difference thresholded is difference pixels resultant is Then frame that amount of the calculated. | Then that resultant difference frame is thresholded and the amount of difference pixels is calculated. | 14,411 |
low stochastic Furthermore, us with enables approximation the to cost. computational optimize method a problem | Furthermore, a stochastic approximation method enables us to optimize the problem with low computational cost. | 14,412 |
asymptotically is estimated by also parameter We and show distributed. consistent normally SLSTD the | We also show the parameter estimated by SLSTD is consistent and asymptotically normally distributed. | 14,413 |
has studied for decades. Face been Recognition many | Face Recognition has been studied for many decades. | 14,414 |
occluders object significantly recognition accuracy. presence The of impacts | The presence of occluders significantly impacts object recognition accuracy. | 14,415 |
when run on parallel try architectures. are we efficiently heterogeneous These challenges to compounded | These challenges are compounded when we try to run efficiently on heterogeneous parallel architectures. | 14,416 |
that common, libraries relational Different implemented data model. geometric unified, domains as are use a | Different geometric domains are implemented as libraries that use a common, unified, relational data model. | 14,417 |
via explained features spectral The intuitive circulant are of matrices. use | The intuitive use of spectral features are explained via circulant matrices. | 14,418 |
number a The results labeling and with experiments are substantial computation. reported of recognition | The recognition results are reported with a substantial number of experiments and labeling computation. | 14,419 |
compute algorithm, correspondences to We a between novel called images. dense matching DeepMatching, introduce | We introduce a novel matching algorithm, called DeepMatching, to compute dense correspondences between images. | 14,420 |
performance obtains public on DeepFlow benchmarks optical estimation. for competitive flow | DeepFlow obtains competitive performance on public benchmarks for optical flow estimation. | 14,421 |
however, of is, implementation these The computationally challenging. ideas | The implementation of these ideas is, however, computationally challenging. | 14,422 |
significant Finding predictive important task. features statistically interaction high-order modeling but in challenging is | Finding statistically significant high-order interaction features in predictive modeling is important but challenging task. | 14,423 |
where PSI. sampling distributions authors exact the for framework algorithmic in presented an computing | where the authors presented an algorithmic framework for computing exact sampling distributions in PSI. | 14,424 |
we in general. Then under yield conditions give should which results method good our | Then we give conditions under which our method should yield good results in general. | 14,425 |
compare method methods. this other we our context with two In | In this context we compare our method with two other methods. | 14,426 |
inference is Bayesian spectral presented. approach A to | A spectral approach to Bayesian inference is presented. | 14,427 |
the emulation pursues probability of posterior the It density. | It pursues the emulation of the posterior probability density. | 14,428 |
of likelihood be quantities can From calculated statistical interest expansion semi-analytically. this all spectral | From this spectral likelihood expansion all statistical quantities of interest can be calculated semi-analytically. | 14,429 |
the and Both expansion to the moments are model evidence coefficients. related posterior the | Both the model evidence and the posterior moments are related to the expansion coefficients. | 14,430 |
enables to performance high The complex real-time queries. responses | The high performance enables real-time responses to complex queries. | 14,431 |
are signal (i.e. then of a as decomposed of The sum the signals projected interest | The projected signals are then decomposed as the sum of a signal of interest (i.e. | 14,432 |
model. Gaussian linear very discriminant) noise, and mixed using simple background a | discriminant) and background noise, using a very simple Gaussian linear mixed model. | 14,433 |
is simplified. parameter the problem simplicity model, to the estimation Thanks of the corresponding | Thanks to the simplicity of the model, the corresponding parameter estimation problem is simplified. | 14,434 |
of context. Classification relevance proposed prove approach the a in results such the | Classification results prove the relevance of the proposed approach in such a context. | 14,435 |
for image attracts years. in minimization processing low-rank attention much recent Patch-based | Patch-based low-rank minimization for image processing attracts much attention in recent years. | 14,436 |
we denoising. low-rank propose image a patch-based idea, Based on minimization method this for | Based on this idea, we propose a patch-based low-rank minimization method for image denoising. | 14,437 |
main The three and stated is process PCA, way: SVD equivalent denoising in low-rank minimization. | The main denoising process is stated in three equivalent way: PCA, SVD and low-rank minimization. | 14,438 |
this method are also improvements given. Further of | Further improvements of this method are also given. | 14,439 |
an has structure. typically underlying communication Human | Human communication typically has an underlying structure. | 14,440 |
accomplish this language joint both in generative a visual using cues We and model. | We accomplish this using both visual and language cues in a joint generative model. | 14,441 |
is chemical broad ways. than The more models two model in kinetics typical | The model is more broad than typical chemical kinetics models in two ways. | 14,442 |
First, faithful. more of simplifies time-dependent process the models hazard using making rates | First, using time-dependent hazard rates simplifies the process of making models more faithful. | 14,443 |
includes state environmental the the resources. of traits use and individual of Second, system | Second, the state of the system includes individual traits and use of environmental resources. | 14,444 |
where in of multi-modal is sampler illustrated are The encountered. proposed distributions efficiency examples the | The efficiency of the proposed sampler is illustrated in examples where multi-modal distributions are encountered. | 14,445 |
powerful hidden sequential of modeling tools are data. Factorial (FHMMs) Markov models | Factorial hidden Markov models (FHMMs) are powerful tools of modeling sequential data. | 14,446 |
log-likelihood than the marginal approximation a of we better FAB First, inference. previous offer | First, we offer a better approximation of marginal log-likelihood than the previous FAB inference. | 14,447 |
No the the face between were two area. found groups in differences | No differences between the two groups were found in the face area. | 14,448 |
gray showed groups. Structural difference analysis in imaging matter no density between | Structural imaging analysis showed no difference in gray matter density between groups. | 14,449 |
signature: motion based This temporal on lines. for barcode a improvement new is | This improvement is based on a new temporal signature: motion barcode for lines. | 14,450 |
statistical has systematic The little however. performance received of these sophisticated relatively models attention, | The statistical performance of these sophisticated models has received relatively little systematic attention, however. | 14,451 |
cohesive do subsets related this form most display Nonetheless, genes (clusters). implies they phylogenies; topologically | Nonetheless, most genes do display topologically related phylogenies; this implies they form cohesive subsets (clusters). | 14,452 |
The take successive up may days. entire three process | The entire process may take up three successive days. | 14,453 |
space the This constitutes neophobia, avoidance space. behavior of coping untrodden with | This behavior constitutes coping with space neophobia, the avoidance of untrodden space. | 14,454 |
often task Solving computer for real-time is optimization on-the-fly difficult applications. a large-scale graphics | Solving large-scale optimization on-the-fly is often a difficult task for real-time computer graphics applications. | 14,455 |
technique. is reduction well-adopted model tackle To a this challenge, | To tackle this challenge, model reduction is a well-adopted technique. | 14,456 |
high-order problems. among account regression practical covariates into many interactions valuable in is Taking | Taking into account high-order interactions among covariates is valuable in many practical regression problems. | 14,457 |
bending. cyclization into gain insight DNA a DNA technique nature to is the powerful of | DNA cyclization is a powerful technique to gain insight into the nature of DNA bending. | 14,458 |
the FRET recent in j-factor also We experiments. measured estimate dynamic | We also estimate the dynamic j-factor measured in recent FRET experiments. | 14,459 |
of the described. regions inter-individual was The brain graphs within and variability discovered different | The inter-individual variability of the graphs within different brain regions was discovered and described. | 14,460 |
Experiments challenging conducted state-of-the-art. a dataset with on outperforming are results | Experiments are conducted on a challenging dataset with results outperforming state-of-the-art. | 14,461 |
size of processing. is a image any color for Firstly input | Firstly a color image of any size is input for processing. | 14,462 |
The it to converts a algorithm grayscale image. | The algorithm converts it to a grayscale image. | 14,463 |
apply foreground to detector the boundary edge canny of we find the object. Next | Next we apply canny edge detector to find the boundary of the foreground object. | 14,464 |
to is Video a video context. stepping segmentation stone understanding | Video segmentation is a stepping stone to understanding video context. | 14,465 |
human presence environments. is to automatically important detect times secure in It at | It is at times important to detect human presence automatically in secure environments. | 14,466 |
robust, shape fast that has rates. a error needs This low and recognition algorithm is | This needs a shape recognition algorithm that is robust, fast and has low error rates. | 14,467 |
the is error encouraged. sity is the and minimized reconstruction this coefficient objective, spar- In | In this objective, the reconstruction error is minimized and the coefficient spar- sity is encouraged. | 14,468 |
algorithm. an alternative an strategy by in This objective opti- is mized iterative | This objective is opti- mized by an alternative strategy in an iterative algorithm. | 14,469 |
Almost all predictions. computations making neural involve | Almost all neural computations involve making predictions. | 14,470 |
the demonstrate datasets. BMA number of clustering use model-based We for of in a | We demonstrate the use of BMA in model-based clustering for a number of datasets. | 14,471 |
can BMA the in context enhanced Applying modeling performance. fast give is and model-based | Applying BMA in the model-based context is fast and can give enhanced modeling performance. | 14,472 |
ubiquitous machine in learning. are methods tools Kernel | Kernel methods are ubiquitous tools in machine learning. | 14,473 |
that show large classification be We used regression scale for tasks. framework this and can | We show that this framework can be used for large scale regression and classification tasks. | 14,474 |
configurations. the can viewed latent prior FIC over a variable be distribution as | FIC can be viewed as a prior distribution over the latent variable configurations. | 14,475 |
result, towards components. may models be As a with less FIC biased overly | As a result, FIC may be overly biased towards models with less components. | 14,476 |
There Satisfiability the for are Modulo already a tools quite problems. Theories (SMT) solving few | There are already quite a few tools for solving the Satisfiability Modulo Theories (SMT) problems. | 14,477 |
solution integer convex solving with extends and The tool volume counting computation/estimation SMT polytopes. for | The tool extends SMT solving with integer solution counting and volume computation/estimation for convex polytopes. | 14,478 |
interpretations, Based al. the on structure SE et Delgrande of | Based on the structure of SE interpretations, Delgrande et al. | 14,479 |
well-known revision. logic adapted AGM the to (LP) framework program | adapted the well-known AGM framework to logic program (LP) revision. | 14,480 |
identified introduced They of specific behavior rational revision LP operators. some and the | They identified the rational behavior of LP revision and introduced some specific operators. | 14,481 |
channel an plays river role studies. in networks of Quantitative important analysis | Quantitative analysis of channel networks plays an important role in river studies. | 14,482 |
experimental several fitness completely the last In landscapes have years, been resolved. | In the last years, several experimental fitness landscapes have been completely resolved. | 14,483 |
etc). fraction roughness/slope, components, non-additive of of peaks, number | number of peaks, roughness/slope, fraction of non-additive components, etc). | 14,484 |
objects together. formulated aggregated The terrain similar type the by aggregated is ground | The aggregated terrain type is formulated by the similar ground objects aggregated together. | 14,485 |
is triplet-based criterion. learning under a formulated Pose embedding distance | Pose embedding learning is formulated under a triplet-based distance criterion. | 14,486 |
compares parametric with Bayesian system identification. recently This classical for developed paper methods methods | This paper compares classical parametric methods with recently developed Bayesian methods for system identification. | 14,487 |
not posterior distribution so often requires methods. known computational and analytically, The is | The posterior distribution is not often known analytically, and so requires computational methods. | 14,488 |
supervision transfers propose In from work a technique images different that we modalities. this between | In this work we propose a technique that transfers supervision between images from different modalities. | 14,489 |
the immune model computational simulates a We of the development adaptive have system. built that | We have built a computational model that simulates the development of the adaptive immune system. | 14,490 |
show realistic. model simulations self-centered The our is that | The simulations show that our self-centered model is realistic. | 14,491 |
state of detail. analyzed special is The steady case in case | The special case of steady state case is analyzed in detail. | 14,492 |
problems, a new energy which we parsimonious call We discrete minimization of labeling. family propose | We propose a new family of discrete energy minimization problems, which we call parsimonious labeling. | 14,493 |
and energy Specifically, clique potentials. high-order functional unary potentials of consists our | Specifically, our energy functional consists of unary potentials and high-order clique potentials. | 14,494 |
for small each of component. number a labelings, putative with mixture one us This provides | This provides us with a small number of putative labelings, one for each mixture component. | 14,495 |
putative of energy we the in Third, the labeling best choose terms value. | Third, we choose the best putative labeling in terms of the energy value. | 14,496 |
process fault in Gaussian This approach a data. novel paper to proposes time-series removal | This paper proposes a novel Gaussian process approach to fault removal in time-series data. | 14,497 |
on prediction error This based approach minimization. identification the guarantees stable predictors the of | This approach guarantees the identification of stable predictors based on the prediction error minimization. | 14,498 |
this we compare issue. this paper various In address propose to techniques and | In this paper we propose and compare various techniques to address this issue. | 14,499 |
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