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where {{formula:bdfb2e79-09c3-411d-a820-0d2980c19784}} is the difference in black hole entropies before and after emission {{cite:fb6d509e2e15a1b4438ef0ed398362e17d5de2a4}}, {{cite:bf919cdd2a2667069d5f7ee1d724299f4e1143f8}}, {{cite:fd44e31c5e82102154594088c18dcfbf2606c0d3}}. It is shown that Parikh-Wilczek's procedure... | d | 2a9fd475d06097c7a1e7603007c77459 |
Structural optimization for the doped cases was carried out with the VASP code {{cite:7b0703bf29d1d78de66095c0c58aee198f92161b}},
using an energy cutoff of 600 eV. This code is efficient for the supercells, which
contain up to 50 atoms. The lattice parameters were optimized, while the
internal structural parameters wer... | m | 242136c5bf76c37202ad8070d83629ca |
It is also of interest to estimate the range of interaction in this material. In renormalization group theory analysis the interaction decays with distance {{formula:6fb970e8-dfb4-47fc-b6d5-3982cadfd0cd}} as {{formula:d4eb8199-9f1e-4656-b46e-93d9f0b9b0e0}} for long-range exchange, where {{formula:a103d50a-0554-40cb-a... | r | b9c4cd10866b992efade8431eb14f862 |
Although such techniques are able to reveal useful numerical properties, they have been often categorised as too simplistic. In fact, a direct connection between the numerical discretisation of the linear advection equation and more complex three-dimensional nonlinear simulations can be everything but trivial.
The high... | i | 6887c0c72488ed822c2d16cbc9fb4c0e |
Autonomous driving {{cite:6085aab6915ca208467ccebc9d329693036849a6}}, {{cite:c19940073a02ab85a01ddf03f99f539746218b10}}, {{cite:71090118318ff29afe1e7427bfadead7690526ba}} has received considerable attention in recent years because of its potential to ease congestion, reduce emissions, and even save lives.
However, the ... | i | 89ffb5a0577bee09748b617851d293d6 |
Egocentric view and generalisation
The use of an allocentric (rather than egocentric) view did not improve generalisation or demo variant performance for most tasks, and sometimes decreased it.
tab:short-results shows the greatest performance drop on variants that change object position, such as Layout and Jitter.
F... | d | c939930576fec29a7dfff502fa5882fe |
We considered three ML algorithms proposed in the learning from imprecise data literature, namely: k-Nearest Distributions (KND, also called Generalized kNN) {{cite:603987806ca8a40359a3880825f7f811834f77bd}}, Support Measure Machine (SMM) {{cite:babef24f29f67364248007631aa942f79600178f}}, Weighted re-Sampling Forest (W... | m | 79332d4117ff6966e4bbfd9c200ca2d3 |
Since the flows considered are turbulent, the numerical solution was found as a large eddy simulation using the explicit filtering method. Detailed information of the numerical procedure are provided in R. Varadharajan{{cite:38884fd406e7a74755e189347f4433fe38719f2c}} and S. Ganesh{{cite:4f330f403f0014da5bc1006e5e68901a... | m | 871f2d6aa4d2d1fdc9579b2dfc0fc9ed |
Results on CelebA-5. We further verify the effectiveness of our method on real-world class-imbalanced datasets. The CelebA dataset has a long-tailed label distribution and the test set has a balanced label distribution. We use 300K Random Images {{cite:1cda6fa1d109e11eac9ce4fba673aca9525c941f}} as the open-set auxiliar... | r | a055a76d75a1a09a1c61cbc0a608ef73 |
For the evaluation of the quality of our synthesis procedure, we
must measure the Hurst index for each direction in the generated field
and to compare with the {{formula:6f0bba3d-7684-4000-adbc-00a72228c213}} value used in the construction. For
this, we apply a modified version of the Directional Average Method
(DAM) ... | r | 75e2ac05ebed07209741563aa16c35a7 |
We use the Dirac cone model to describe the dynamics of the TI multilayer structures. In the model, the linear Dirac cones are assumed to be present on both the top and bottom surfaces of the magnetic-doped TI layer as well as the undoped TI layer. The Hamiltonian is written as {{formula:99d2af27-29a3-4f55-a452-63a8189... | m | 49c88b30f9225089e9191d5a25ec99ed |
To address the above issues, we propose the first self-supervised DNN-based BP for solving COPs by seamlessly integrating BP, Gated Recurrent Units (GRUs) {{cite:232deb9ac41bf7bbfe3c05b8ad7fc64da1358b39}}, and Graph Attention Networks (GATs) {{cite:7f04ced388346db693274729a8fcba525bc715dc}} within the massage-passing f... | i | 8af7077a53dfc4455efaa5622d5dfb4e |
For simplicity, we chose networks of similar size in our simulations.
However, the presented results are not contingent on network sizes in the ensemble and largely independent of the particular functionality (underlying distribution) of each SSN.
Their applicability to scenarios where different SSNs learn to represent... | d | b0502ea5d9c8a9dcd8ac760cbb8e87a4 |
Stanza is a state-of-the-art and efficient framework for many NLP tasks {{cite:8530e9eccc2d77ac482a4d81eb9f3c14a3afd978}}, {{cite:7a6d79d4b50f061510a2d2b439db17a996748574}} and it supports both NER and syntactic tasks. We use Stanza to train NER models as well as syntactic models (tokenization, lemmatization, POS taggi... | m | 79e22cdae66598301a44254b83574c1a |
Arguably, a crucial factor for the limitations of existing methods is the fact that most methods use weak 2D supervision from landmarks predicted by face alignment methods as a form of guidance,
e.g. {{cite:3fd51c5245020c09d9ec748b4fef5023d1e26a2f}}, {{cite:d54e33ad55f2ac4949913861257c607cf05b8606}}, {{cite:a89a31c5b0c... | i | d4ccf867f23eca00cab2ef172d2965cc |
All these arguments must be evaluated in the context of accretion-decretion disks expected in some DPVs. Since the tangential impact should accelerate the star until critical rotation, we might have a disk with an inner boundary transporting angular momentum and matter outside and the outer boundary transporting mass i... | d | 5a34c7e0959882b1a5a903c54291e0eb |
It is also possible to use our operations in conjunction with other strategies, including dimension reduction, quantization and tree search {{cite:c3759c5156d71d85f5a2c8adc89af1539565ac44}}, {{cite:560d5c6c2d0281d4410434aef3efa3385b2131e3}}, {{cite:e6508811c1bc4833886907a304675c95a64d56d2}},
because many compressed dom... | d | 71a303a456103d6b50ca60f5540c0978 |
The estimation quality of {{formula:d34e96f9-ed52-435d-b6ee-71231551cdc6}}
determines how well the relation between {{formula:6cd088a2-e7e8-48d3-a832-24f3aff54e0c}} and {{formula:80f19dc3-ecb3-4a9d-9206-9088acaa559a}} is captured.
Besides the regression method,
the starting epoch {{formula:1f5257b9-6384-42b4-907d-15... | r | 58516117e1a7a22a68df14718a99eca8 |
In our work the idea of how performing the qubit state reconstruction is similar to that in Ref. ficheuxtomo, that is to read the resonator dynamics. In fact, the functional relationships linking the qubit dynamics to the resonator evolution, that we have derived from HEM, bear some resemblance to those used in Ref. fi... | d | 36abfa51a97ea51e2729976d09ab7e5f |
{{cite:70bb27b254e9af55c02134e95f787e2b022824ac}} in the 1920s found that hanging heavier weights from a muscle led to faster firing rates from neurons inside the muscles. This is where rate coding originated from, the idea that information in nervous systems are communicated in the form of average firing rates. This i... | d | 5a23040b9d757c730c1924180b5082d8 |
The Multiconfigurational Time-Dependent Hartree Method for Indistinguishable Particles {{cite:f0478760c8f721f3dd67cf6bdf8ab14ec93ff969}}, {{cite:4f12a45cd7f7967b307d11f142c7055680691d2a}}, {{cite:7b55c5efd4b184da4203e409880ab5d01652b4ed}}, {{cite:cd7d4f3d8bf54ca459d2a3ad3dd9dc18b3f8ae91}}, {{cite:5c11a4295e7494aaa7f6f9... | m | 18c082bc8c0a92d5f87b8f3ab92cb952 |
Affordance Characteristics. As part of the niche environment that humans occupy, object properties seem to be understood by humans in terms of their affordance characteristics, or in other words the opportunities and limitations that they offer to humans {{cite:bd9e1d916b14d2285391829df1ac01a4e16866d6}}, {{cite:cf85d0b... | d | a920916baf9498efba58cfc12fcfef84 |
Lemma 2.1 {{cite:99573a9f490c09d40d194658fa60fa516598ac5d}}
Let {{formula:00cb4773-dea6-405b-9ecf-51eee90a4ece}} be a cyclic proper subgroup of a finite group {{formula:357666f7-f03b-4915-8f0b-d9499c698216}} , and let {{formula:98f80525-8a3b-4ce7-95c3-36b201561e96}} . Then {{formula:a45dc43e-db9f-4e34-94ed-6af8004312... | r | f9b0e59c900f9348e456594d95ecd6bb |
Despite their usefulness in many applications, LASSO and SCAD also have certain
shortcomings with respect to VAR model estimation. LASSO is likely to give
inaccurate estimates of the model structure when the sample size is small
{{cite:ff194ff0073a3976c7a7abd9c4937c6fd4e1d638}}, {{cite:0b59c3757dd64264ec0386fb2803a408f... | i | 4129d87591a8f38d29598081af37e160 |
Finally we envision that the present findings can be applied to other two-dimensional semiconducting or insulating layered materials that form tubes, as it is the case for transition metal dichalcogenides.{{cite:916ea737b9641e3398a191cb987527a3cb0875f2}}
| d | 952373a8703fb04198285f8d3aba6a0f |
We compute our timing results using a Intel i5-7600 CPU @ 3.50GHz CPU,
and a NVIDIA GTX 1080-TI GPU. We use square style and content images
scaled to have the edge length indicated in the top row of Table
REF . For inputs of size 1024x1024 the methods from
{{cite:2c611dde9f9f781475bdac9ff37f6107e5dd5050}} and {{cite:78... | r | 4f51179ab821de7347d0d29f1f4af0b0 |
The overall segmentation results are presented in Table REF . Results show that our method achieves the best performance in terms of both OA and mIoU metrics. In particular, when compared with the competing method in this specific task, MeshSegNet {{cite:5dd6e72009f8ebe81ed27e3aeb2d5430d764640a}}, which directly consum... | m | 8d3db2e4053553ebb628a430af259096 |
A major challenge in EnKF is generating and evolving a large number of ensemble members of the dynamical model in time. The accuracy of the background error covariance matrix in EnKF (which affects the performance of EnKF) black depends on the ensemble size {{cite:fd17a34471e6e49fb6c528bb07dbf86ec8464134}}. For an accu... | i | 477140173d010e646e1e63490b590fcf |
We use additive attention {{cite:ad002ad7788024f69244291139fd1af3658dce81}} to obtain the gating coefficient. Although this is computationally more expensive, it has experimentally shown to achieve higher accuracy than multiplicative attention {{cite:47e19072f32e90ae36c142e27d37630c7ef7ed0d}}. Additive attention is for... | m | b109dde1878c7c25176e6bdaf26f4c90 |
Given a planar phylogenetic network on {{formula:e88ec940-8d80-45cd-9ebd-49e049dee589}} ,
let {{formula:2bb27a23-5441-49c3-84e6-065aa0c6da73}} be the digraph obtained from {{formula:f55f5989-fc4a-4945-b1b8-3e88e14264f1}} by adding
an additional arc {{formula:46d0bbbe-3086-48dc-9ba7-91663d4c12f6}} for each element {... | d | 94d3ee23686c8c4f6c71e922b36776a4 |
Some other methods such as BYOL {{cite:4eae6e4b0b07396d2d588e443a61e3c94b64d1e3}}, SwAV {{cite:274fc66fed8e3224523b26e8c521b9ac0a5b08eb}}, and SimSiam {{cite:c46464f9c1fc40d9f82b1f0284d6af7814de14c0}} are recently developed to learn self-supervised representation using only positive examples. For example, BYOL (as show... | m | e0e61ffdc69b1ade7a6e0db2da397e1c |
The next generation of CMB surveys such as the ongoing Simons Observatory {{cite:c04fabc2bde8aac322b20ae730777df29e845799}}, {{cite:8077bcc171e85a7940ba3b7f80e34cf8ce388b37}}, the upcoming CMB-S4 {{cite:6156ba402f15c65d6a74f430914f70077453f54e}}, {{cite:ee74948a5cf5d6e310381a7bfb72e5aaab530d5d}}, and the futuristic CMB... | i | a4e3ddfa50eb1a7fcbd472b845b7e48b |
Limitations and future work Blurriness of the NeRF results is a big limitation of this work, despite using cone-casting from Mip-NeRF. We believe further improvements such as {{cite:ab1fe14daba8e09d2636bf940d61775f05224274}} can help in reconstructing sharper estimates.
Another limitation is that the photographer ca... | d | 9c32b207fce538d62863a3f762eb11d4 |
In this section we will discuss the limitations and potential societal impact of our contribution. To start with, our theoretical analysis relies on being able to compute a Kantorovich potential {{formula:45168f4e-5523-48ea-87df-5657b0519444}} for the pair {{formula:237c3041-771a-4c10-89ed-34e5c5cdcb79}} . Given recen... | d | 24b2106fbf658c1e9d869e3fad3f7f72 |
Advocating a particular version of this idea, Silverman & Mallett
{{cite:c3337cb07068dce404d55fadf26e84eb90bf0961}} suggested a symmetry breaking mechanism for
the production of such a particle, based upon a real-valued scalar
field. Although in this case the symmetry breaking mechanism
provides a nice example of parti... | i | 062400f3c913996ca036718b04b0b516 |
For more information about hypercyclic and supercyclic operators and their proprieties, see the book {{cite:6fd2f612f2408bd8d6e05734606f18bf9df39d72}} by KG. Grosse-Erdmann and A. Peris , the book {{cite:cb86e829c7af6b40a36b7a0e65d84d5875536615}} by F. Bayart and E. Matheron, and the survy article {{cite:0d0e123ba70eb0... | i | 09c508fdc5626e03b310debeb384b885 |
SAM Implementation:
Given a pixel query map {{formula:74c3c9d6-d1ba-4637-95bc-2220a8fab5a4}} and the corresponding encoder features {{formula:60cdf9fc-6c92-4095-be53-bebde9c1b55f}} for a particular scale {{formula:44c6aa9b-66ad-49e6-94f1-9f28cedd25dd}} , we first perform a {{formula:04f7a8dd-1cfe-486e-8b3f-45df467988... | m | 0205c229fe7edd9689c41257c2d72b06 |
If we would like to confirm that the event was in fact caused by a dark remnant, we would have to wait ten years and use the Extremely Large Telescope to take high angular-resolution follow-up observations of this field to try and identify the source and lens as separate objects.
If the lens is a neutron star, it may b... | d | 159950db29a4a5bfb402e004181f60b9 |
In this study, based on the formulation of ALBERT as a discrete-time dynamical system, we analyzed the trajectory properties using short-term and long-term analyses.
In the short-term analysis, we first demonstrated that token vectors began to synchronize after a certain period, and suggested that it was caused by the ... | d | 693bd98a891d2f54a85529b406a91508 |
In this section, we evaluate our proposed SpFDE framework on benchmark datasets, including CIFAR-100 {{cite:7176c497304b646b12294fb1afce452dcfdcf31e}} and ImageNet {{cite:010bd509add75a992b2caf3ae0f28e90b6de8395}}, for the image classification task with ResNet-32 and ResNet-50.
Note that we follow the previous work {{c... | r | 61160a00c0bb9a45fc07950aa52fa876 |
In the first task of legal text classification, the best option in this task is determined based on experimental results, for example, in this way we found that multiple strategies can be used to get around BERT’s limit to sequence length of 512 tokens, but the ‘head & tails’ strategy where only the first 128 and the l... | r | 2f03caa0b19066e91a8b32161b131ee4 |
In this section, we evaluate the performance of mmWave VCs using NOMA at road intersections.
In order to verify the accuracy of the theoretical results, Monte-Carlo simulations are carried out by averaging over 10,000 realizations of the PPPs and fading parameters. Monte Carlo simulations are carried out, and they matc... | d | 3db6a5dad61ffd272fbc1a7b971a7b24 |
The recent detection of gravitational wave signal GW170817 originating from binary neutron star (BNS) merger by the LIGO and Virgo detectors have opened up a new era in multi-messenger astronomy {{cite:19100ca6262b7265d238166f8f1e96f104f3a568}}, {{cite:a8fded46b65eb3546931499d5b4ac7acbb586182}}, {{cite:76e2e14d82eebad4... | i | d74d1af574b1d6332c358824736145c6 |
Towards this aim, the initial work {{cite:afd7083224867e79ff06a1dbfc54c8dc5689d2f2}} proposes a framework that explicitly incorporates the noise into a numerical time-stepping method, namely a Runge-Kutta method. Though the approach has shown promising directions, its scalability remains ambiguous as the approach expli... | i | 59e6c50733e69f03d446232f393d2510 |
Here we provide more visual examples of the sequences generated with RIVER. See Figures REF and REF for results on the BAIR {{cite:3d1c38fb87b18ca574d29bf095efacf2501af97b}} dataset, Figures REF and REF for results on the KTH {{cite:cb06277c1c98053b9fe31a928cf804a6feed6fcf}} dataset and Figures REF and REF for vi... | r | 6afc0c3091ebc5568aa8670bbf836d8a |
We designed a CNN that could accomplish the dual tasks of ECG beat regression and ECG
segment arrhythmia classification. First, the network architectural requirements were posed as
an optimization problem, which we solved by using Ray Tune library {{cite:4997c2f7e5256880e6a818d3a5d6fc6b82853db1}} to
choose the best per... | m | 467710b6360f41309c6dfb98f03cc8da |
Metrics.
We use the matching precision (%) metric here to evaluate the dense correspondence estimation performance. Theoretically, it presents the correct correspondence percentage by {{formula:d10dab6d-ecc8-480b-8524-4e325624a6d4}} ,
where {{formula:ffdec588-0cdf-4092-96b3-2d594a8c88c3}} is the Hadamard product, {{fo... | r | 7f6c9be070eafba4300c3ef55983c7f9 |
Until recently, SNNs have been restricted to simple tasks and small datasets due to instability in learning regimes {{cite:f83ee568f4ee5ec27f6efa65a02428e19ef1e1f6}}.
Recent development in new spike learning mechanisms {{cite:b1b74d48e87de2c90c15ff24c333fcdebfda582f}}, {{cite:f8e65a45c6c5dcbea16175b72e372e544486d634}}
... | i | 5183f0aefe09fc7a2600b383046475fd |
Features-only: The simplest way of incorporating pre-trained features is to directly use these pre-trained features as the input for the decoder. The decoder of the original model is adjusted to fit the dimensionality of the features.
Concat: Concat simply concatenates embeddings {{formula:1b17643a-a425-4568-b06e-e3f... | m | 44ed2c2432bd669f4816344d104e2fcf |
According to the latest experimental data of 2020PDG {{cite:da744c063b364054b5e5704156f0d652eee87a3c}}, the {{formula:a3cb1a92-e86a-48fe-b705-365a52389785}} decay branching ratio is {{formula:a41dbad1-dc17-48eb-9a29-72d4a025a601}} , which coincides with the calculation result in this paper, {{formula:4c43a8d1-a222-41c... | r | a5028ec3c25af8b37299fa53e66927a0 |
Limitations.
One limitation is that LiVT can not be deployed in an end-to-end manner. An intuitive idea is two branches learning to optimize the decoder and classifier simultaneously, like BBN {{cite:d0d6f6209261ec5856f96b632daa184ed8bbd333}} or PaCo {{cite:9bd61a1bbc950e791e44c3b79a479be6f4bf5617}}. However, the heavi... | d | 00f7588a3a0d44f65ad2befd344077cb |
Random forests can be understood as local adaptive likelihood estimators for
the conditional parameter function {{formula:bf8d6d3e-6a93-4eea-a3d1-4cf4f2dd6d66}} for a patient with
prognostic or predictive variables {{formula:795842ed-4303-4c99-8625-72aa16e7ac0b}}
{{cite:9260c1083dd19818cacf6d9c852c83861bde1fba}}, {{c... | m | 468e4a520852bc588ec39368a07edd83 |
In this work we concentrate our efforts to explore three quantum properties: i) entanglement, ii) EPR-steering, as an entanglement-based correlation, and iii) quantum discord, as an above-entanglement correlation, in bipartite two-qubit states affected by various quantum processes. Specifically, we report on the dynami... | i | 9882e06a642287da73288dc0876d59d1 |
With EnCluDL, the statistical inference step is performed by
the desparsified Lasso.
In {{cite:910e92dfbb529ed18cf13d54dfd771e55afae06f}}, another ensembled clustered inference
method that leverages the knockoff technique
{{cite:02012c5a01098f59058247963c4e4c8cada40ed2}} leading to a procedure called ECKO
has been test... | d | f57ce8647bbe1684eb3bf0150e0f5d5d |
A common method for constraining EBL absorption is to take the observed spectrum in a region where the EBL is unabsorbed, extrapolate that to a region where it is absorbed, and take that as the highest possible intrinsic flux {{formula:a87d9d68-7e3b-4651-9a1d-23c63f23eaa5}} {{cite:e01f5703e239526e7f73de32ca5ca09ca70b5... | r | a34c0ea892f3ef3fcde7e29dd4afdf41 |
Recent years have seen increased interest in hatespeech detection to combat the proliferation of toxic language spreading on social media platforms such as Twitter and Reddit. Many datasets have been annotated based on human-written social media posts {{cite:5960e92c4b167c6da46ccca165fd8ae4f3bfb116}}, {{cite:5921ed033b... | m | 31401cea42893610eaeee8646f2f1e1e |
NGC 3393: The starting spectral model for this source is provided by the work of {{cite:e1cbd74f2578e128cfe7b7a4d82b20cb869055e6}} and {{cite:fc8affad75f4471458a5e842e1cb7ee1cb34e5e3}}, who fitted the NuSTAR spectrum with both MYTorus and Torus models. The results obtained with our baseline model are broadly consistent... | r | b532afaa5f65f933e63636da696aefb3 |
Similar to the offline method, the end-to-end method is designed based on SQLova as well. For the condition value subtask, the start and end position of condition value are predicted through a pointer network. The difference is, the representation of each cell is the output of an bi-LSTM encoder with BERT{{cite:6152428... | m | ee5e3e2777a0950dc9e91fcc07ccad00 |
The Markov decision process (MDP) is a fundamental mathematical
model used to handle stochastic dynamic optimization problems
{{cite:71de1858bcb3305cdfc8044322bc96579c680466}}, {{cite:c279eb9d843ec8cb8b73f1872c88e0f75bdf27a5}}. The study of MDPs in operations
research is multidisciplinary. It is deeply connected with
r... | i | f9b3ca05d085a56e382718f578a3eb00 |
Deep neural networks can be used to approximate hyperbolic partial differential equations.
The construction of heavily over-parametrized functions by deep neural networks rely on the foundations of the Kolmogorov–Arnold representation theorem {{cite:1e66b99538edf4716a8edfe39003c73bcb9ad4cf}} and the universal approxima... | i | 21a4c788bc2e5901d05c5e86a3af6651 |
where the values {{formula:6602cfb0-6f7f-4d6f-b166-4415c90659b1}} mb at 2.76 TeV and {{formula:eff42263-7ee3-48ea-bad3-0aa7aae3dd19}} mb at 5.02 TeV have been considered {{cite:b889c7f62ddc646836539139afebf13965ec286b}}.
| r | 8e4baa2f4b119e8c9f74fdf43604c560 |
In a bipartite quantum system with density operators {{formula:e3fdf651-ae3f-46a6-83ce-94b8d952e31a}} in a Hilbert space {{formula:0f098100-217f-43e0-a51f-641c8bfdc0a6}} where {{formula:47b29a93-1b4e-4343-b9dc-e78c6ec787fe}} so {{formula:af7f8884-adb1-4b5f-bb26-5e1a1f344273}} , a {{formula:99bfb2ea-0c2b-4736-8036-9... | r | 206870a8e99cba4de53ef482aa577151 |
The vision system is hybrid in nature with two different methods, a machine learning object detection and a classical computer vision method, each of which is designed to operate depending on the relative distance to the landing pad. In the long-distance, the machine learning object detection method is applied to ident... | i | 0ae448dc1731f0026e77da96e14c3982 |
Improved GANs.
Despite the high-quality generation, GANs suffer from the “mode-collapse" problem, wherein they fail to capture entire modes in the real data distribution.
For instance, a GAN trained on the MNIST dataset – a collection of handwritten digits from one to ten – might neglect a subset of digits from its out... | d | 492409368f7634af80aae2faf8e4ae20 |
+ C9(s PR b)( )
+ C10 (s PR b)
( 5 ) ] .
Here {{formula:4d6e96a3-49fa-4db9-bf01-5eff9e588415}} and {{formula:6ff8e781-40f0-4865-b7d0-3d2a7865da9c}} are the new physics WCs which are assumed to be complex in the current analysis. Following a penurious approach, we ruminate only those scenarios where either onl... | m | f62a2b4275fbf17b3e7d6b4702b6b663 |
Making sense of the fundamental quantum nature of matter withing the context of General Relativity (GR) {{cite:2e9face8779c189eed9b86e970739a7934d91eff}} is the holy grail of modern theoretical physics. Intriguingly, discrepancies do not restrict to the UV where ignorance is easily acknowledged, but are already strikin... | i | 99aeae75bdf5cd10517c1af638929b2c |
In survey data, informative sampling designs are accounted for in unit-level modeling and inference through the use of sampling weights, as done in the Horvitz-Thompson estimator for population inference {{cite:bdc1b9d04be8b1c18e049213c16a2026ef785808}}.
A general approach for likelihood-based inference with survey dat... | i | fe4f50f93727b38b1856cd4083fcdf53 |
Table and Fig. REF present the quantitative and qualitative results of state-of-art methods on the NOCS dataset respectively. The comparison points include learning-based methods relying on a category-level prior, such as NOCS {{cite:c92cdf03f7753fb9547107fe3f89217138520137}}, KeypointNet {{cite:1725d013314f1ee9f749f... | r | 1a4404d57d947de74848abde7ad9e5db |
Finally, it would be interesting to extend the approach developed here to more realistic models of active particles. This includes studying other models of active particles such as active Brownian particles, which typically model many types of self-propelled colloids {{cite:dd2b594b00cf6986ed15f19418452faf438789c4}}, {... | d | a04f24ab98c543dae246a5a96df2a12a |
In this study, we introduce the term Face Area Lightness Measures (FALMs) to be any technique for characterizing the intensity of light reflected by human skin in the facial region, as measured by a sensor (this has been called many things in previous studies: lighter/darker-skin {{cite:7df3012e5a33cddc24fca0513d79df81... | i | 0743a39a410910c2c0ca02f9b10a8d4d |
A future challenge is to apply this approach to more complicated and more realistic implementations of the Faraday effect, paramagnetic materials in particular, with
typical spins of order {{formula:d3cce30c-f362-44dd-aa0c-596e32da69a9}} and significant dependence on temperature {{cite:a9c03256083e393b42b8cca5c08e7c1c... | d | 8c716eaf5ca510b05e4b90835b2a1809 |
Production of the structures {{formula:ebaf7acf-da68-4c48-8289-f03ca0a7d335}} and {{formula:d7143972-9ce4-4d32-8e04-27daf38ab6e0}} in {{formula:75332d6a-91b5-4801-8318-0406705c594e}} meson's weak decays
were analyzed in Ref. {{cite:d1ff739ca822e89400c304f8b8a6dd8611eb6a50}}. The central idea and main
conclusion of t... | d | e4526c8deff87ece43bc3b297dce0d16 |
We use approximation estimates for the projection {{formula:61327341-10f0-49da-b4b6-03bc347bc883}} , and an inverse estimate (cf. {{cite:7ec16fa2d3c775359e2a8352228f618f7282c701}}) to conclude that
{{formula:eb00c542-2655-4091-a3e8-cdb91fb4c47c}}
| m | ca8f7a82517c623a2cbb00db39a88011 |
Optical-atomic clocks, which are among the most precise metrological instruments currently available, provide continuous-wave (CW) laser radiation that is stabilized to a narrow-linewidth atomic transition {{cite:9ec273eede622eefcc0c674e02291a137af2534c}}, {{cite:b227ffbfa9e0fc34e4c52b972fac2c77ffdcd643}}, {{cite:d9bf0... | i | 43c939576fe027ceab5a5eec256c1fcd |
In the rest of this section we will present some of the final SEDs
resulting from our simulations. A larger collection is shown in
{{cite:35d7f66d65384b9b01f8fd90c2023abd40f9adf8}}. The SEDs of each model has been averaged over
the time interval {{formula:cd64e15c-ff7f-4286-864c-5f0a6d3adc85}} s.
| r | 2b127abed0c3734d8361e5f67ab1db15 |
Deep learning methods are also exploited for the task. Specifically, the detection of visual relationships using a Deep Relational Network {{cite:f852bce60ad5cf452c0f4e0a17edd366a3022166}}, a deep reinforcement learning model for detecting relationships and attributes {{cite:096ff2b3c36987d513385bb15b16b162cc9a7ca8}}, ... | m | f524824aacfca2754bfc52055b39c57e |
In this section, we compare our proposed method with other five state-of-the-art crowd locators in two congested datasets (QNRF and SHHA). The compared locators are TinyFaces, RAZ Loc, LSC-CNN, IIM and DCST. Specifically, TinyFaces is trained via official project with default parameters. RAZ Loc is adopted from {{cite:... | m | 52d77a565a6de8003771d808d69b96ee |
where {{formula:c82bd220-dea3-44fd-a4fc-f544382b8ac0}} , {{formula:651712e2-709f-4f8b-9381-bf7f373e4c19}} is any reasonable input function or random process, {{formula:86af5886-4ef3-4cc8-adc0-bab78be5a096}} is the scale parameter of the continuous wavelet transform (CWT) in the {{formula:41811659-c942-4920-b60c-01f01... | i | 3aa2f307865c3ca4cebc76a8f29b9f70 |
For text pre-processing, we used a hybrid phrase detection algorithm based employing a dictionary as described in Lui et al {{cite:ee53b73a5853f47b3a8d811c4e390eb05ac14997}} and based on an approach described in {{cite:bdae901ace7b1086c0f7f170d5c841191d1b22d0}}. First, we seeded the co-occurrence detection algorithm wi... | m | d1e1dcbee7693b80596449f25c5b043b |
The Bellman completeness assumption is about the closure of a function class under the Bellman operator. It has been widely adopted in RL literature, be it online RL {{cite:381a13ee7f9dee8f00fd06121931bc5121d2aae3}}, {{cite:29b97db45d4f9c0d08532474360362f93e026c16}} or offline RL {{cite:ad45ff090100c3a5372bcf73ed6ea18d... | r | 124df99a9b0b10eaaa5c3c61f8d40dd4 |
where {{formula:30c4b369-82ed-4f7a-9a99-dec15e046fbd}} r
depends implicitly on {{formula:8b8568a8-1790-4a43-8958-2e9f5e47a0d2}} , {{formula:cd28413b-9774-4722-a0e6-22ebce5fb9c0}} .
We may view the vector {{formula:d0c83a94-65e5-4f52-ba9f-a6ac87f7ecee}} of the space {{formula:685844e3-3432-4f99-a02b-62835b24088d}} as... | i | 3c7f2db04c5e6889ec8e9d3304de4743 |
The vision transformers consider an image as a sentence. It splits each 2D image into the 1D tokens and models the long-range dependency between tokens with the multi-head self-attention mechanism. The self-attention has been recognized as the computation bottleneck in the transformer model. Its computational cost incr... | m | 0738b349bb09709cde53098f47523484 |
We now examine if the large amount of shape information contained in ImageNet pretrained models is equally distributed across different stages of the CNN.
In this experiment, we train one layer read-out modules on features from different stages, ({{formula:0aaf932e-87b7-4f38-8b5f-167b6ec0c7de}} ), of the SEN to examine... | r | f368d8a4c6bcd9b5d80972c7d5d0e7e9 |
Visualization of the selected LRs. As shown in Figure 5, for the LRs in red, yellow, green and orange boxes in the query image, we visualized the {{formula:4bb3b674-0f46-42a8-950a-abc56bdb011b}} (i.e., {{formula:66018692-3541-4fa9-99e5-539ed697c4dd}} =3) most discriminative LRs selected by MATANet. In {{cite:7f51b632d... | d | f2e0be5676d55f98e4d693ab4385de8b |
In this paper, we computed Lanczos coefficients {{formula:2cc041c1-6bee-4f9b-a675-92f0b28aa7a2}} and K-complexity {{formula:5db5a805-0e6c-4422-bf93-d72002668864}} of an inverted harmonic oscillator system, which is non-chaotic but shows saddle-dominated scrambling. As a result, we found that {{formula:3d46c851-3203-4... | d | 06bbf42a941f944a958aa902efcc25ff |
[leftmargin=*]
Closer Ties to Unsupervised Representation Learning. Our segmentation model directly learns the pixel embedding space with non-learnable prototypes. A critical success factor of recent unsupervised representation learning methods lies on the direct comparison of embeddings. By sharing such regime, our no... | d | 027cfaf0ed2afb7beed0abe726372e76 |
Furthermore, the CSC and SPC pre-training improve the test results only marginally. We conclude that CSC can only be applied to dense point clouds and is less pertinent in the case of sparse point clouds, which are typical of the autonomous driving use case. For SPC there are two options, either not enough data were us... | r | dd48ae16174e1332425940fa130c5c78 |
as {{formula:7f47fb8d-2919-4d86-a186-521534ed08c7}} , by our limit assumptions. Thus, Theorem 5.11 of {{cite:a6e58cd1726641a71c4ef5cd14ac0c43b6bba093}} may be applied to give
{{formula:af972e66-a3ed-484d-8807-cccc5826e17d}}
| r | bc7717b01bb621dab74ba7a1bd9bd92b |
Many cluster validation indexes have been proposed in the literature, often in
order to pick an optimal clustering in a given situation, e.g., by comparing
different numbers of clusters, see {{cite:991c395e1fb82dd5c446cf119033429b9efe7f56}} for an overview. Most of
them (such as the Average Silhouette Width, {{cite:54c... | i | 4a29bc89c5bc7408a5106c92e510fa08 |
As for outlier removal of point correspondences, we choose RANSAC and NG-RANSAC {{cite:469c998d5e0d80d64d9aeced36d687d47fda19f5}}. We use the OpenCV-3.4.2 implementation of RANSAC with {{formula:25b0a471-f83c-41cd-a056-1a6cb19f9bbc}} , {{formula:20a1154c-e6dc-4e53-abc2-2f59caff735f}} , and {{formula:205b8466-a574-40a6-... | m | 2e8c6062132c358752ae5ef2f0eed5cf |
The numerical integration of Equation (REF ) is implemented
using the algorithm introduced by Gunsteren and
Berendsen {{cite:6b7bd9d6cb283a10e53d4dd583d5ca27ba22a615}}. Our previous experiences with BD
simulation suggests that for a time step {{formula:904432c1-60f6-4d35-94e3-36969ea77c59}} these
parameter values prod... | m | a4ee69577325e1163472f28f3e8649ff |
We present our main results in Table REF . In this table, we see that our formulation systematically outperforms the proposed baselines, as well as the ones it generalizes. In most cases, the possibility to add a layer or to consider higher-order interactions improves the performance over the existing baselines (MMSBM,... | r | 38c09c8b41d90dab42958d2be61384b5 |
Our spOccupancy R package fits spatially-explicit single-species, multispecies, and integrated occupancy models for potentially massive data sets. The package includes functions for data simulation, model fitting, model validation, model comparison, and out-of-sample prediction. Additionally, spOccupancy contains metho... | d | 6fc3666d89bd2f3d9eb79cacee542d14 |
We first perform ablation studies on the impact of the output ensemble scheme, the proposed attention distillation bound, and the modality of unlabeled public data. Here we use the T1-weighted images from BraTS (B), fastMRI (F), and IXI (I) as private datasets and unlabeled T1-weighted images from OASIS-3 as public dat... | r | 070f2446cb9d8c5228e4b049555acd42 |
Explanations of how to solve a task often involve a summary of the key decisions required to complete it, an ability referred to as selectivity {{cite:37d824d21619bf6d465da08f13943d31f76ec7b1}}, {{cite:0d2bfdf5befdace35858e1d4398243ca72b18126}}. Classic Deep Reinforcement Learning (RL) approaches lack this ability beca... | d | 4ab7dfc309cd1ccb9236acd67bca17f7 |
Traditional equivariant networks, such as GCNN {{cite:58a40dcaefdbab7e64a70ff04a0709901c10f2eb}}, SE(3)-transformers {{cite:f6f4b6f863a074658c51faaebe0b8c131d9a5fa2}}, and LieConv {{cite:b8a453a6aacfb79c8862d2c3f6940487ae7ae3bc}}, require the group equivariance constraint to hold for each layer of the network. In contr... | d | 4e2f2e4e9fae1df6c402b660d2755e09 |
The island rule was initially considered for the two-dimensional gravitational systems where the explicit computations for the entanglement entropy of the Hawking radiation and the Page curve can be easily performed by using the semi-classical method due to the presence of the high symmetries. For the two-dimensional b... | i | 5e18c329a23eba56f066df4d388d2f87 |
In this paper, we propose a novel approach to address this problem. Our approach is based on the notion of instrumental variable regression, a well-established method of resolving endogeneity in the econometrics literature, including endogeneity deriving from measurement error {{cite:8b5a3a0c64df8d1892f0bf81755b8228495... | i | 966a9e35f661b21bc0e6efa4d82ccfbb |
An additional challenge is presented by the fact that the broad absorption profile associated with Damped Ly{{formula:158dfdde-37d2-4dd8-8e76-cb80e30b47bf}} (DLA) absorption systems (along with sub-DLAs) in the Ly{{formula:f7bf45cc-e16f-48f8-92a8-00bf67a50484}} leaves a measurable imprint on the correlation function ... | i | 33cb0cd79f7264b6611899090533beaf |
Group DRO (*GDRO) {{cite:8381242382b35298154e37971f0b4e82c9dbe869}} provides DRO with the necessary prior that it must generalize to all groups. Similar to Up Wt, GDRO also uses {{formula:3d680286-7420-41f2-81ca-eaeddec35930}} and {{formula:4eafd718-c74b-4871-95b2-1d22c59d1b86}} to create groups and has been shown to... | m | 0cd957d94c00feb9720cd4c9bcbdc8d1 |
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