text stringlengths 27 153 | label stringlengths 27 153 | id int64 0 40k |
|---|---|---|
is DKP-AOM two with participating DKP-AOM_lite), performs and versions DKP-AOM (DKP-AOM coherence analysis. | DKP-AOM is participating with two versions (DKP-AOM and DKP-AOM_lite), DKP-AOM performs coherence analysis. | 15,500 |
the we towards future some of development work discuss Finally, DKP-AOM. | Finally, we discuss some future work towards the development of DKP-AOM. | 15,501 |
habenula by study. axonal DTI tracts Hippocampus to medial my multisynaptic was linked in | Hippocampus was by multisynaptic axonal tracts linked to medial habenula in my DTI study. | 15,502 |
and to amygdala hippocampus septum, to tracts BNST. These linked | These tracts linked hippocampus to septum, and amygdala to BNST. | 15,503 |
to the The response. is alternative with best the goal identify highest | The goal is to identify the best alternative with the highest response. | 15,504 |
each response the We of use to predict alternative. Bayesian regression logistic | We use Bayesian logistic regression to predict the response of each alternative. | 15,505 |
of datasets benchmark the the Experiments effectiveness UCI proposed method. demonstrate on | Experiments on benchmark UCI datasets demonstrate the effectiveness of the proposed method. | 15,506 |
WordNet hierarchy. shared Constraints the across labels are the through semantic | Constraints are shared across the labels through the semantic WordNet hierarchy. | 15,507 |
learning as two-stage problem. a this We pose | We pose this as a two-stage learning problem. | 15,508 |
compare to our state-of-the-art of et al. method approach the We Bell | We compare our method to the state-of-the-art approach of Bell et al. | 15,509 |
domain labeled new a data. target propose exploit sparsely to We unlabeled architecture and CNN | We propose a new CNN architecture to exploit unlabeled and sparsely labeled target domain data. | 15,510 |
of (DCNNs) convolutional applications. recognition neural have range networks Meanwhile, revolutionized broad a object deep | Meanwhile, deep convolutional neural networks (DCNNs) have revolutionized a broad range of object recognition applications. | 15,511 |
we apply DCNNs this to work, recognition. In logo | In this work, we apply DCNNs to logo recognition. | 15,512 |
element key models. augmentation Data high-dimensional training a in is | Data augmentation is a key element in training high-dimensional models. | 15,513 |
nets demonstrate training We improvements performance neural over significant manually-specified augmentation in schemes. deep | We demonstrate significant performance improvements in training deep neural nets over manually-specified augmentation schemes. | 15,514 |
datasets available code augmented Our are and online. | Our code and augmented datasets are available online. | 15,515 |
invoked to data. to for biological account it be has various Nevertheless, | Nevertheless, it has to be invoked to account for various biological data. | 15,516 |
for The is method the emotions of individuals matrix analysis presented. basal innovational | The innovational matrix method of the basal emotions analysis for individuals is presented. | 15,517 |
matrix criteria The state the of been psycho-emotional have stability formulated. | The matrix criteria of the psycho-emotional state stability have been formulated. | 15,518 |
understood. progression system is the between relationship tumor and still poorly nervous However, the | However, the relationship between tumor progression and the nervous system is still poorly understood. | 15,519 |
overcomes Biased Location network this novel limitation Our incorporating Convolutional layer. by a | Our network overcomes this limitation by incorporating a novel Location Biased Convolutional layer. | 15,520 |
this paper, that face inaugurate promising recognition dogs. by In for we avenue pursuing | In this paper, we inaugurate that promising avenue by pursuing face recognition for dogs. | 15,521 |
display structural Some proteins patterns. recurrent natural | Some natural proteins display recurrent structural patterns. | 15,522 |
tracking requires trajectories. associations existing multi-person online online detection with correct the responses Robust of | Robust online multi-person tracking requires the correct associations of online detection responses with existing trajectories. | 15,523 |
challenging. high large-scale Annotating quality is datasets | Annotating large-scale high quality datasets is challenging. | 15,524 |
environment. real-world diversity; not these reflect do datasets operating Typically, have the they limited | Typically, these datasets have limited diversity; they do not reflect the real-world operating environment. | 15,525 |
predator show a stabilizing as expected. cannibalism We influence provides in that the | We show that cannibalism in the predator provides a stabilizing influence as expected. | 15,526 |
and this distorts called is This phenomenon market. the asymmetry information | This phenomenon is called information asymmetry and this distorts the market. | 15,527 |
intelligence, screening made the signaling With of artificial have been and advent easier. | With the advent of artificial intelligence, signaling and screening have been made easier. | 15,528 |
on impact of the of artificial studies the theory asymmetric This intelligence information. paper | This paper studies the impact of artificial intelligence on the theory of asymmetric information. | 15,529 |
lampshade the realized surface. thin over the as tubes distributed holes Thus, are | Thus, the holes are realized as thin tubes distributed over the lampshade surface. | 15,530 |
probability chain Carlo asymptotically Markov sample (MCMC) complex Monte distributions. methods from | Markov chain Monte Carlo (MCMC) methods asymptotically sample from complex probability distributions. | 15,531 |
sampling methods. slice adaptive we other framework this can use and In | In this framework we can use slice sampling and other adaptive methods. | 15,532 |
more chains, more often mix We obtain quickly. Markov which robust | We obtain more robust Markov chains, which often mix more quickly. | 15,533 |
features captures it practical pre-tagging. models sharp Secondly, any on without | Secondly, it captures sharp features on practical models without any pre-tagging. | 15,534 |
state art out-perform benchmark methods two the of on datasets. the significantly Our | Our methods significantly out-perform the state of the art on two benchmark datasets. | 15,535 |
cataract, cortical three and types cataract, nuclear cataract: of sub-capsular There cataract. senile are posterior/anterior | There are three types of senile cataract: cortical cataract, nuclear cataract, and posterior/anterior sub-capsular cataract. | 15,536 |
cataract. senile most cataract common is The cortical | The most common senile cataract is cortical cataract. | 15,537 |
analyzed. understanding cataract are in cortical factors For the causing cataract, pathology the and cortical | For understanding cortical cataract, the pathology and the causing factors in cortical cataract are analyzed. | 15,538 |
crystallin The disrupted proteins. water will and release fiber | The disrupted fiber will release water and crystallin proteins. | 15,539 |
become disrupt local then fibers successively. way, and the this In swollen | In this way, the local fibers become swollen and then disrupt successively. | 15,540 |
problem region. the localizing We in devices non-collaborative of large address a WiFi | We address the problem of localizing non-collaborative WiFi devices in a large region. | 15,541 |
localizing motive WiFi main localize Our is e.g. devices, to by humans their | Our main motive is to localize humans by localizing their WiFi devices, e.g. | 15,542 |
operations natural during search-and-rescue a after disaster. | during search-and-rescue operations after a natural disaster. | 15,543 |
is with very measurements. extremely to these it For make prudent reasons, few decision important | For these reasons, it is extremely important to make prudent decision with very few measurements. | 15,544 |
regression. Gaussian (GP) use We Bayesian on optimization the process approach based | We use the Bayesian optimization approach based on Gaussian process (GP) regression. | 15,545 |
This of can the image process help analyzing understanding better multiresolution and with registration. | This can help with analyzing and better understanding the process of multiresolution image registration. | 15,546 |
technique global Lipschitz demonstrate we into a incorporate framework. this, optimization our multiresolution To | To demonstrate this, we incorporate our multiresolution technique into a Lipschitz global optimization framework. | 15,547 |
dense feature and framework proposed consists of a The detectors extractor important classes. three of | The proposed framework consists of a dense feature extractor and detectors of three important classes. | 15,548 |
the shared features dense extracted, Once detectors. features with these been have are all | Once the dense features have been extracted, these features are shared with all detectors. | 15,549 |
achieves performance proposed the competitive approaches several The the-art state-of- benchmark on with framework datasets. | The proposed framework achieves the competitive performance with state-of- the-art approaches on several benchmark datasets. | 15,550 |
This to discriminative poorer power robustness. leads less and | This leads to less discriminative power and poorer robustness. | 15,551 |
it higher challenging This to allows highly text in recall. a patterns, detect resulting | This allows it to detect highly challenging text patterns, resulting in a higher recall. | 15,552 |
data. and simulation to Our by are an theoretical genomic verified results studies application | Our theoretical results are verified by simulation studies and an application to genomic data. | 15,553 |
understanding. recognition is one of from still the for most images problems image Event important | Event recognition from still images is one of the most important problems for image understanding. | 15,554 |
for essential Left segmentation measuring left indices. ventricular is ventricular function | Left ventricular segmentation is essential for measuring left ventricular function indices. | 15,555 |
several images an contour. or of Segmentation guess of the one initial requires | Segmentation of one or several images requires an initial guess of the contour. | 15,556 |
of detection the The presented automatic first step includes here the algorithm of valve. mitral | The first step of the algorithm presented here includes automatic detection of the mitral valve. | 15,557 |
the same detected is the frame. apex Next, in | Next, the apex is detected in the same frame. | 15,558 |
is the valve tracked The then cycle. cardiac throughout | The valve is then tracked throughout the cardiac cycle. | 15,559 |
an used resulting an active input contour The as is contour to algorithm. | The resulting contour is used as an input to an active contour algorithm. | 15,560 |
paper This multiclass the problem segmentation. adresses of interactive | This paper adresses the problem of interactive multiclass segmentation. | 15,561 |
This a distinctive work representation using aims image of categorization parts. for | This work aims for image categorization using a representation of distinctive parts. | 15,562 |
Hough common The one line transform is of detection. for methods the most | The Hough transform is one of the most common methods for line detection. | 15,563 |
regular Hough paper In of we extension this the transform. a propose novel | In this paper we propose a novel extension of the regular Hough transform. | 15,564 |
and We rectangle detection. inspection in visual such benefits applications demonstrate quality as | We demonstrate benefits in applications such as visual quality inspection and rectangle detection. | 15,565 |
why is and of That set OOP. theory to close object-oriented this version is | That is why this version of set theory is object-oriented and close to OOP. | 15,566 |
the generating of address We problem features action for recognition. video | We address the problem of generating video features for action recognition. | 15,567 |
human In technique presented. action is recognition video paper, a this from novel | In this paper, a novel human action recognition technique from video is presented. | 15,568 |
Since training is independent. approach require proposed don't classify we view to the actions, | Since we don't require training to classify actions, the proposed approach is view independent. | 15,569 |
knowledge slow on fast Model networks of of relies variables. and biochemical reduction the | Model reduction of biochemical networks relies on the knowledge of slow and fast variables. | 15,570 |
predict effects Modern the of challenged biomedicine is to genetic variation. | Modern biomedicine is challenged to predict the effects of genetic variation. | 15,571 |
the United The of rise States. been in has use illicit on drugs | The use of illicit drugs has been on the rise in United States. | 15,572 |
idea been recently the has embodied EPFL camera. This as Gigavision | This idea has been recently embodied as the EPFL Gigavision camera. | 15,573 |
The and objects via based on their representation methods. is of properties model | The model is based on representation of objects via their properties and methods. | 15,574 |
and addition, also In inheritance vague knowledge representation of within imprecise are discussed. | In addition, inheritance within representation of vague and imprecise knowledge are also discussed. | 15,575 |
facing perform user shelf. product a the We fine-grained is when recognition (b) class | (b) We perform fine-grained product class recognition when the user is facing a shelf. | 15,576 |
through active We improve (c) accuracy continuously learning. the recognition | (c) We continuously improve the recognition accuracy through active learning. | 15,577 |
Statistical descriptive widely statistics. are moments in used | Statistical moments are widely used in descriptive statistics. | 15,578 |
practice. important stable implementations efficient and numerically are Therefore in | Therefore efficient and numerically stable implementations are important in practice. | 15,579 |
is We present a to implement. simpler also version easier that | We present a simpler version that is also easier to implement. | 15,580 |
newly The system system compared background with based is a subtraction. on proposed | The newly proposed system is compared with a system based on background subtraction. | 15,581 |
performed means and accuracy. the time by is of execution Comparison | Comparison is performed by the means of execution time and accuracy. | 15,582 |
previous real data on experimental the statements. both synthetic and support sets Extensive results | Extensive experimental results on both synthetic and real data sets support the previous statements. | 15,583 |
images. In we consider of this of unmixing a problem paper, the time hyperspectral series | In this paper, we consider the problem of unmixing a time series of hyperspectral images. | 15,584 |
dynamical linear a propose each based We time model on at processes instant. mixing | We propose a dynamical model based on linear mixing processes at each time instant. | 15,585 |
of the images. approach multitemporal hyperspectral on synthetic The demonstrated performance and proposed real is | The performance of the proposed approach is demonstrated on synthetic and real multitemporal hyperspectral images. | 15,586 |
an scalable presented is results. offline and Moreover, to approach is compared online | Moreover, an online scalable approach is presented and is compared to offline results. | 15,587 |
also conception discussed. within of exploiters is In addition, networks universal object-oriented dynamic | In addition, conception of universal exploiters within object-oriented dynamic networks is also discussed. | 15,588 |
calculated A before generation. precisely of be can quantity the classes these | A quantity of these classes can be precisely calculated before the generation. | 15,589 |
saving knowledge in set only classes basic of of base. the It allows | It allows saving of only basic set of classes in the knowledge base. | 15,590 |
context, of analyze properties method. the this proposed the computational we and In statistical | In this context, we analyze the statistical and computational properties of the proposed method. | 15,591 |
validated Theoretical are analysis. thorough a complemented and by results experimental | Theoretical results are complemented and validated by a thorough experimental analysis. | 15,592 |
in presented. detectors framework principled for these is combining applications feature A also | A principled framework for combining feature detectors in these applications is also presented. | 15,593 |
metric online potential of applications. the the reveal for Timing results | Timing results reveal the potential of the metric for online applications. | 15,594 |
using machine Automatic vision track a inspection technology tool. effective has become inspection very | Automatic track inspection using machine vision technology has become a very effective inspection tool. | 15,595 |
the paradigms--perceptual a then We computing. provide overview three conceptual of these newest of | We then provide a conceptual overview of the newest of these three paradigms--perceptual computing. | 15,596 |
MET. of using diversity However, from researchers it interpretations by not genetic producing deterred has | However, it has not deterred researchers from producing interpretations of genetic diversity by using MET. | 15,597 |
To date, classified. identified to bacteriocins and close five hundred have been | To date, close to five hundred bacteriocins have been identified and classified. | 15,598 |
highly shown distributed species. discoveries and have among bacterial diverse widely Recent that are bacteriocins | Recent discoveries have shown that bacteriocins are highly diverse and widely distributed among bacterial species. | 15,599 |
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