text stringlengths 27 153 | label stringlengths 27 153 | id int64 0 40k |
|---|---|---|
multispectral and based This hyperspectral paper variational approach images. fusing presents a to | This paper presents a variational based approach to fusing hyperspectral and multispectral images. | 11,400 |
Corrections expectation about the propagation are explained. expansion by then | Corrections by expansion about the expectation propagation are then explained. | 11,401 |
advanced sections. explored in are some and final topics applications the Finally inference | Finally some advanced inference topics and applications are explored in the final sections. | 11,402 |
are This between capturing mind-wandering FC suggests fluctuations that the effects. and SC | This suggests that the fluctuations between FC and SC are capturing mind-wandering effects. | 11,403 |
memory It also certain problems of limitations. overcomes | It also overcomes certain problems of memory limitations. | 11,404 |
renewed approaches multiobjective optimization. Recently, has decomposition-based in there a evolutionary been interest for | Recently, there has been a renewed interest in decomposition-based approaches for evolutionary multiobjective optimization. | 11,405 |
we this the In parameters. functions investigate and behavior different scalarizing of their paper, | In this paper, we investigate the behavior of different scalarizing functions and their parameters. | 11,406 |
main them encoding difference schemes. among their is The | The main difference among them is their encoding schemes. | 11,407 |
instead considers sparsity. Different group of among points from LRR the effect SC, data | Different from SC, LRR considers the group effect among data points instead of sparsity. | 11,408 |
offer (i.e., Benefiting LrrSPM) property, can from the better performance. a method proposed this | Benefiting from this property, the proposed method (i.e., LrrSPM) can offer a better performance. | 11,409 |
\emph{Entity naturally videos Discovery} in as The tracklet posed of task be can clustering. | The task of \emph{Entity Discovery} in videos can be naturally posed as tracklet clustering. | 11,410 |
major TC models Bayesian for are contributions at the Our tracklet-level. first nonparametric | Our major contributions are the first Bayesian nonparametric models for TC at tracklet-level. | 11,411 |
functions rate. Given improve object the features, these are category-specific recognition learned combination to | Given these features, category-specific combination functions are learned to improve the object recognition rate. | 11,412 |
key dictionary representation. for the of a A is sparse success proper | A proper dictionary is a key for the success of sparse representation. | 11,413 |
sparse in dictionaries The caculated learned classification representation (SRC). are based | The learned dictionaries are caculated in sparse representation based classification (SRC). | 11,414 |
dictionary proposed accuracy reconstruction error the evaluate to learning and The used are classification method. | The classification accuracy and reconstruction error are used to evaluate the proposed dictionary learning method. | 11,415 |
q-value that outperform stratified thresholds substantially E-values. We show | We show that stratified q-value thresholds substantially outperform E-values. | 11,416 |
of The this is twofold. paper contribution | The contribution of this paper is twofold. | 11,417 |
annealing solving single-stage the method we First, and problem. effective robust simulated propose for an | First, we propose an effective and robust single-stage simulated annealing method for solving the problem. | 11,418 |
the and an apply design parameter we Secondly, tuning for statistically-principled methodology extensive procedure. and | Secondly, we design and apply an extensive and statistically-principled methodology for the parameter tuning procedure. | 11,419 |
illustrated and The trains. method proposed on experimental simulated spike is | The proposed method is illustrated on simulated and experimental spike trains. | 11,420 |
we described from that the Moreover, domain task benefits adaptation. show | Moreover, we show that the described task benefits from domain adaptation. | 11,421 |
applied Secondly, on graph layers to framework many reduction dimensionality based cascaded embedding GENet. are | Secondly, many cascaded dimensionality reduction layers based on graph embedding framework are applied to GENet. | 11,422 |
classify used classifier is linear Finally, dimension-reduced features. a to SVM | Finally, a linear SVM classifier is used to classify dimension-reduced features. | 11,423 |
for In and views. pointclouds unseen cross-view action from contrast, process recognition unknown directly we | In contrast, we directly process pointclouds for cross-view action recognition from unknown and unseen views. | 11,424 |
The show that Experimental methods. provide techniques over improvement significant state-of-the-art results our | The Experimental results show that our techniques provide significant improvement over state-of-the-art methods. | 11,425 |
novel localisation lip proposed face includes method. scheme approach The a a localisation and automatic | The proposed approach includes a novel automatic face localisation scheme and a lip localisation method. | 11,426 |
data large sets methods. other of proposed to on Simulations method performance the superior show | Simulations on large data sets show superior performance of the proposed method to other methods. | 11,427 |
state-of-the-art the by is and LSEs of laborious tuning parameter application computation. expensive compromised However, | However, the application of state-of-the-art LSEs is compromised by laborious parameter tuning and expensive computation. | 11,428 |
to contrast faster. LSEs are the existing In methods, proposed significantly | In contrast to existing methods, the proposed LSEs are significantly faster. | 11,429 |
they parameters importantly, while better Most involve performance. achieving fewer much | Most importantly, they involve much fewer parameters while achieving better performance. | 11,430 |
(CNNs) Networks gained Neural detection. Convolutional have and image great object success classification Deep in | Deep Convolutional Neural Networks (CNNs) have gained great success in image classification and object detection. | 11,431 |
studies on focus deserving issue. this However, fewer | However, fewer studies focus on this deserving issue. | 11,432 |
selected the to concepts in unfriendly These correspond category. image vectors each | These selected vectors correspond to the unfriendly concepts in each image category. | 11,433 |
compressive to cascaded sensing from feature we network use the Firstly, data. learn | Firstly, we use cascaded compressive sensing network to learn feature from the data. | 11,434 |
CSNet generates feature Secondly, by binary histograms. and hashing block-wise the | Secondly, CSNet generates the feature by binary hashing and block-wise histograms. | 11,435 |
classify features. to is used linear classifier a Finally, these SVM | Finally, a linear SVM classifier is used to classify these features. | 11,436 |
together the thesis. topic projects this connects This presented in | This topic connects together the projects presented in this thesis. | 11,437 |
transcriptional on regulation. first predominantly chapter The focuses | The first chapter predominantly focuses on transcriptional regulation. | 11,438 |
by the major in high-throughput thesis is challenges The sequencing analysis. concluded listing | The thesis is concluded by listing the major challenges in high-throughput sequencing analysis. | 11,439 |
discuss I demanding the also questions top data. sequencing of current the integration | I also discuss the current top questions demanding the integration of sequencing data. | 11,440 |
in understanding image holistic provide insight We and deep this into a deblurring review. | We provide a holistic understanding and deep insight into image deblurring in this review. | 11,441 |
years. of has lot the attention a drawn recent identification Biometric-based in | Biometric-based identification has drawn a lot of attention in the recent years. | 11,442 |
Among all features. a rich biometrics, of is known palmprint to possess set | Among all biometrics, palmprint is known to possess a rich set of features. | 11,443 |
result accurate in introduced here identification. near-perfectly The a features | The features introduced here result in a near-perfectly accurate identification. | 11,444 |
of significantly recent large-scale image Image years the in with availability classification sets. advanced has | Image classification has advanced significantly in recent years with the availability of large-scale image sets. | 11,445 |
Attributes the Caltech-UCSD datasets. substantially establish a on and state-of-the-art Animals with Birds improved We | We establish a substantially improved state-of-the-art on the Animals with Attributes and Caltech-UCSD Birds datasets. | 11,446 |
By combining results. improve different output embeddings, we further | By combining different output embeddings, we further improve results. | 11,447 |
cumulative measures interference. to the of used amount quantify We linkage disequilibrium | We used cumulative linkage disequilibrium measures to quantify the amount of interference. | 11,448 |
are by experimental These from data one predictions HIV-infected patient. supported | These predictions are supported by experimental data from one HIV-infected patient. | 11,449 |
Thus, escapes interference explain why later could are slower. | Thus, interference could explain why later escapes are slower. | 11,450 |
experiments well with two Networks very literature. the We known from made Bayesian | We made experiments with two very well known Bayesian Networks from the literature. | 11,451 |
most first we contribute problem. and review In work, comprehensive on this recent the this | In this work, we contribute the first comprehensive and most recent review on this problem. | 11,452 |
interesting by We also these results. to analyzing point some discoveries | We also point to some interesting discoveries by analyzing these results. | 11,453 |
In of spite population the the \emph{Ae. of dynamics | In spite of the population dynamics of the \emph{Ae. | 11,454 |
stability of was and analysis The equilibrium performed. | The analysis of equilibrium and stability was performed. | 11,455 |
follows of climate Cenozoic. evolution evolution the the biodiversity Their | Their biodiversity evolution follows the climate evolution of the Cenozoic. | 11,456 |
Earth is the evolution understand. the of hard Cenozoic climate to considering When processes, only | When considering only Earth processes, the climate evolution of the Cenozoic is hard to understand. | 11,457 |
losses in other conditions. Adaptation and environment often gains fitness to in one results | Adaptation to one environment often results in fitness gains and losses in other conditions. | 11,458 |
developments accessible. becoming more sequencing technologies, in novel data time-sampled and are With available | With novel developments in sequencing technologies, time-sampled data are becoming more available and accessible. | 11,459 |
in these parallel to from datasets. been population Naturally, parameters infer there genetic efforts have | Naturally, there have been efforts in parallel to infer population genetic parameters from these datasets. | 11,460 |
number on sequences. We system of evaluate motion a monocular human the large | We evaluate the system on a large number of monocular human motion sequences. | 11,461 |
to Simulation results used illustrate our are findings. | Simulation results are used to illustrate our findings. | 11,462 |
control of absence in the ground points). | in the absence of ground control points). | 11,463 |
monocular single we a depth from Next, image. estimate key body measurements | Next, we estimate key body measurements from a single monocular depth image. | 11,464 |
squares Levenberg-Marquardt least flexible is algorithm procedure problems. solve The iterative a to used non-linear | The Levenberg-Marquardt algorithm is a flexible iterative procedure used to solve non-linear least squares problems. | 11,465 |
show approach. and stability to efficiency of compositional the this simulated and data Applications real | Applications to real and simulated compositional data show the stability and efficiency of this approach. | 11,466 |
effectiveness demonstrate comparisons and its \emph{state-of-the-art} through a real example. with simulations, We the data | We demonstrate its effectiveness through simulations, comparisons with the \emph{state-of-the-art} and a real data example. | 11,467 |
matrix are based features Textural gray image level extracted of fabric co-occurrence (GLCM). on | Textural features of fabric image are extracted based on gray level co-occurrence matrix (GLCM). | 11,468 |
on output real this The shown time monitor. of implementation a was | The real time output of this implementation was shown on a monitor. | 11,469 |
This dynamics. with a introduces state-space time-varying paper linear model | This paper introduces a linear state-space model with time-varying dynamics. | 11,470 |
Bayesian approximation. The posterior using is inference performed variational | The posterior inference is performed using variational Bayesian approximation. | 11,471 |
years from has In learning attention the machine significant aggregation received recent rank community. | In recent years rank aggregation has received significant attention from the machine learning community. | 11,472 |
study ranking. a known the collaborative as problem version We of | We study a version of the problem known as collaborative ranking. | 11,473 |
The connection a to the standard completion matrix very here interesting have results problem. | The results here have a very interesting connection to the standard matrix completion problem. | 11,474 |
a pulse-based, transfer may is dynamically through Because routed neural circuit. information be | Because transfer is pulse-based, information may be dynamically routed through a neural circuit. | 11,475 |
effective and describe protein temperatures. higher complementary respectively These at of aspects lower activity, | These describe complementary aspects of protein activity, at respectively higher and lower effective temperatures. | 11,476 |
To series the of approximations analysis, CRLBs representations computation introduced. and and are facilitate | To facilitate computation and analysis, series representations and approximations of the CRLBs are introduced. | 11,477 |
previous a in conclusion the This result case. generalizes narrowband | This conclusion generalizes a previous result in the narrowband case. | 11,478 |
of the perceived color to subject be appears with The respect to illumination. different | The perceived color of the subject appears to be different with respect to illumination. | 11,479 |
color also photometric spaces. analyze different invariant We | We also analyze different photometric invariant color spaces. | 11,480 |
(ADMM). using We optimization direction of this problem alternating the multipliers solve method | We solve this optimization problem using the alternating direction method of multipliers (ADMM). | 11,481 |
to require smooth we spectral the in process be sufficiently Instead, domain. the | Instead, we require the process to be sufficiently smooth in the spectral domain. | 11,482 |
related foraging have Animal where self-similar optimal to are trajectories movements been strategies central. | Animal movements have been related to optimal foraging strategies where self-similar trajectories are central. | 11,483 |
approaches. also However, very similar tackled has since with been SLAM monocular | However, monocular SLAM has since also been tackled with very similar approaches. | 11,484 |
limits also to and this scale is However, reconstructions. representation memory-intensive applicability small the | However, this representation is also memory-intensive and limits the applicability to small scale reconstructions. | 11,485 |
for have been limitation. explored avenues Several this overcoming | Several avenues have been explored for overcoming this limitation. | 11,486 |
explicit expression require and attempts unavailable are often recover. difficult which to Previous components, | Previous attempts require explicit expression components, which are often unavailable and difficult to recover. | 11,487 |
than rate. terms positive of in SRC performs C-HiSLR true better even | C-HiSLR performs even better than SRC in terms of true positive rate. | 11,488 |
model an errors. methods fit a shape synthesis minimizing to image by AAM-based texture | AAM-based methods fit a shape model to an image by minimizing texture synthesis errors. | 11,489 |
a image directly facial mapping function Regression-based from points. appearance methods to feature facial learn | Regression-based methods directly learn a mapping function from facial image appearance to facial feature points. | 11,490 |
starvation, the subtilis forms durable spores. To bacterium survive Bacillus | To survive starvation, the bacterium Bacillus subtilis forms durable spores. | 11,491 |
in osmolarity line experiments in medium Indeed, prevents with engulfment predictions. the our decreasing | Indeed, decreasing the medium osmolarity in experiments prevents engulfment in line with our predictions. | 11,492 |
threshold can clustering that is determine needed. empirically an Thus, algorithm | Thus, an algorithm that can empirically determine clustering threshold is needed. | 11,493 |
regions that of the clustering We accuracy. observe repeat presence affects | We observe that the presence of repeat regions affects clustering accuracy. | 11,494 |
does this things Gabora paper. two in | Gabora does two things in this paper. | 11,495 |
Second, it whole views is central evolve. that the world that concept advances she | Second, she advances the central concept that it is whole world views that evolve. | 11,496 |
of is Each her argument convincing. completely section | Each section of her argument is completely convincing. | 11,497 |
is survival. for rapid especially learning, critical Learning, | Learning, especially rapid learning, is critical for survival. | 11,498 |
computer can algebra analyzed. availability of be With games packages, the these | With the availability of computer algebra packages, these games can be analyzed. | 11,499 |
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