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Some readers might wonder whether optimizing the GPU memory usage for long-video processing is a valuable contribution since modern GPUs can accommodate larger and larger GPU memory requirements. Furthermore, there exist many prior memory saving techniques such as Gradient Checkpoint {{cite:9f67f3705b733518b910fc7b13d0... | d | 336a775eb135c52114a9b3c38eded95d |
The second option is to introduce a high-dimensional L2-normalized Gaussian random vector {{formula:1dda563b-ae5d-4cae-8d2e-d6fd3aa2570c}} for class {{formula:eef4444b-8e21-4488-bdbc-e28ffb929c1b}} into the batch which acts as the target {{formula:3b32729f-a9cd-4b97-aa76-0e6949526cae}} during computation of Eq. REF ... | m | 14d1ff304a39a0d26897fb27829b66db |
In this paper we aim to solve the {{formula:2ed95ad1-e41b-4620-b183-183a57f460da}} SDYM equation via a direct method,
the Cauchy matrix approach.
The Cauchy matrix approach is a method to construct and study integrable equations
by means of the Sylvester-type equations.
In this approach integrable equations are presen... | i | 93f2a1602e0effd8d21b8838382005b8 |
Prior arts:
To our knowledge, the existing dataless methods are mainly divided into two categories: discriminative dataless methods {{cite:d31481fb584016e51a400492dcd5c497a2e0dbfb}}, {{cite:ccf7c7484c2f48513c2c09094600d6a6f1b55247}}, {{cite:848b98b96563945bb59d697a90195b2d952bb1dd}}, {{cite:07399f05847344da0e3b3df0263b... | i | c1bb39df1ca06c7965cfbce36d483c42 |
Finally, in this section, I will discuss the neutron star properties such as the tidal deformability of the binary neutron star. To calculate the tidal deformability, I am solving the TOV equation together with the perturbing metric, where the nuclear equation of state use as an input. Tidal deformability is highly sen... | r | 57855977ab73831715ea796fd8269332 |
Other than the individual and group level parity based graph fairness {{cite:c8e4a770386536eea18c89d663f57489456bed5d}}, {{cite:d77c59419a3f3f4f72dd6f7c7d32324694098be2}}, {{cite:fe20d8bf6168e4f31b6f2cf585e79f3c5257f4cb}}, graph causal reasoning fairness has been investigated, particularly graph counterfactual fairness... | m | 56a9b68f28b3fac3714b1799521a89c9 |
In this paper, we introduce a new medical report generation model for retinal images. Our work tries to join three different disciplines; natural language processing, computer vision, and ophthalmology {{cite:e2970464c62293c51ae24db969e196a63e1e1905}}, {{cite:6a0ed218036e25534e01c73bb89b786b5ac4fc5c}}, {{cite:b36c9e05a... | d | 62fe56e834f50445b03ace5b20f62e1f |
Future Work.
We want to explore ways to: (i) adapt {{formula:f544c3ae-15e3-4994-abf1-2129056738e5}} -learning to multi-agent strategic settings, where coordination and opponent modelling {{cite:f07a79457830f55df769476174453e042712500d}} are essential and (ii) use a universal successor features approximator {{cite:85dd... | d | 32a85737183185d79e893b32cf3ca59e |
We propose a cost constructor to replace the shift-and-concat approach for matching cost construction.
We make our cost constructor to be occlusion-aware by modulating pixels from different views in a fine-grained manner.
We develope an OACC-Net for LF depth estimation. Our method achieves top accuracy with signific... | i | 6124c4ca49ffc07db10c975afd1b4882 |
Our first-principles DFT calculations were performed using the Vienna {{formula:20a4b62a-5e53-41cf-90a3-0d5077356d94}} {{formula:b5ebcdd8-e959-427c-823f-3bf9e67294ed}} simulation package (VASP) with the projector-augmented wave method {{cite:7b3ebf2b5d0310820abb2aa00b1fa1909c2f645c}}, {{cite:7fd61ad853d47f87e4f5f11b9... | m | 6104375a1e41b199457e6b000680ca34 |
A number of methods have been proposed in recent years to mitigate catastrophic forgetting, falling under three general archetypes {{cite:06c4cc0a4bf49ddbf61ceb7d17fdc2c371cc2edd}}:
| m | 95b4b81aae4e93cc2f391aa1bd94cb6e |
In this paper we study the {{formula:db59265b-4a97-4f7b-ac1f-ac62469ae858}} -staggered six-vertex model with anisotropy {{formula:c17ec0e9-6f37-4f52-8d0c-e9379e9bd58b}} and staggering parameter {{formula:cb3ec084-75c9-490a-b837-18bde0d262e1}} . At the 'self-dual' point, {{formula:02be4c02-7c2d-4a0f-98fe-f8c8a97d11cc}}... | i | 73049ebb65fea1be8b96f19f5786174e |
Thankfully, an alternative route was introduced in 2006 by Balan, Casazza and Edidin {{cite:207f69a0817044d495b21a4a0af0e2a2db882b67}}:
Seek injectivity, not by restricting to a smaller signal class, but rather by designing a larger ensemble of measurement vectors.
Unbeknownst to Balan et al. at the time, this idea had... | i | f8b3c662f6253b4062c93271d166b447 |
The structure of the paper is the following. In Sec. we collect the basic formulas of the seesaw mechanism {{cite:9b570f0478469be3dcf4fbc02afc60185fc46916}}, {{cite:4137a7f8e366a20417f2be943c4c561ad0d7320d}} for fixing the notation and for further reference; the reader familiar with the subject can skip to the next se... | i | c62874609f019012a4af7ec0c7da9770 |
As a first benchmark, we assess our parallel DMRG implementation in a ground-state energy calculation of benzene using a cc-pVDZ basis {{cite:f11daa66bb2cf2a749bca6ba4e5204e79bdb5fb6}} with an orbital space comprising 108 orbitals and 30 electrons.{{cite:9e168e6dffdd52e48f88b8d41618cda1e94384fe}} Although the benzene s... | r | 809aa288d07093b8f5427e0bebe3fbef |
We propose a different approach based on selective prediction {{cite:c55838b94db1318197a40de6f077aeeff7560619}}, {{cite:c0c26676451c40bc908d07f5135d561e390893a5}}, where a model quantifies its prediction uncertainty and abstains from predicting uncertain instances. First, we develop a method for selective prediction wi... | i | 88fd91a2a4e07d04f0ada8acfe7dfa87 |
Now we present the Linear Combination of Unitaries (LCU) Lemma {{cite:97db056ae6946426890c78000260d07f66896ad9}}, {{cite:c83b61d2ce1d7dd3bf13f91158b80ea16ac135e7}}, {{cite:6b020c29d811123fafc2caaeb85d25af84e715de}}, which we will use for combining the Fourier terms in our quantum circuit. Since we intend to use LCU for... | r | f4222cd9eb16694b791a972f7b863bad |
None of the published TESS exoplanet transit curves of M and K dwarf host stars are known to contain a starspot anomaly, though three appear to show suspect anomalies (LP 791-18: {{cite:dcfde49904b6b771182c8a3958171c244407a1bb}}; L 98-59: {{cite:e95fbbed264c468263883fb4538b0c4dbe93e644}}; HD-21749: {{cite:26bbc2c5c6601... | d | 0c80dd494b003f62761debbe79cbea5d |
The three components in (REF ) account for bounding box regression, objectness confidence, and class probability. We used a modified loss definition compared to the original YOLO model {{cite:2a70a6f11c35d1221ed0900f20fa9f928b2e429c}} for better convergence.
| m | e62d1db3836922b3833532d799011dcd |
The predictions output by paegan are similar to those of pf (albeit more uncertain). Consider Figure REF , but it is best to see videos hereGoogleDoc. This favours the hypothesis from {{cite:15901f9457f78eae77f9beab31bbea68cbb70644}}, that a deterministic predictive network (pae) approximates the expectation over the t... | r | a8c6d098bcb6ca19f6da4308ff842616 |
Binary relevance {{cite:249e46a7828316446a3bf48f9c5a5761bcdf08ca}} is a common approach to multi-label classification where the problem is decomposed into a set of {{formula:6b633148-f643-4ab4-90e0-44755ab5bf9e}} binary classification tasks, where {{formula:aa2743e5-b294-441c-b63a-fdb124ebc00b}} is the number of clas... | m | 45ba11baf06a67316571cba79f6e428a |
Given that we need some theory of initial conditions to explain why our universe
was not chosen at random, the question becomes whether inflation provides
any help to this unknown theory. There are two ways in which it does. First, inflation allows the
initial patch of spacetime with a Planck-scale Hubble parameter to ... | d | dd1c28de1f5dc4b761962abd31598de4 |
Some of the first unsupervised methods of the deep learning era were fashioned after pretext tasks from natural language processing. A network would be trained to perform some auxiliary task before transfer for downstream tasks.
These auxiliary pretexts task included solving jigsaw puzzles {{cite:24e1e63401aaf20b2a058a... | m | 3d2317d880723a37863c14d7c4cadf34 |
For a fair comparison between the state-of-the-art {{cite:96ab7bce8bdc1d674dec330fea8a4d8fee15377b}} and the proposed PARAFAC-IRS and Tucker-IRS models, we optimize the precoder ({{formula:ea84e293-d071-4bee-a3e4-45a0258b7da6}} ), combiner ({{formula:dbd256ee-0e21-4cf3-818e-a9d296c72d4b}} ), and the IRS phase-shifts ({... | r | 40fda73d05a56c070df1695c51d6d896 |
Sparse Attention. Perhaps the most intuitive solution to alleviate the quadratic cost, Sparse Attention only calculates a portion of the full {{formula:5e74a584-0f35-4b9f-885f-f8fe4762808c}} attention matrix.
Early stage methods include Local Attention {{cite:97fc3ec1aee8b0b1b16e1a0e1e822b71230a3885}} and Multi-pass... | m | ab95179af777bd33ee42708e478fbe56 |
In this paper, I adapt the analysis from {{cite:25d7b1e7befd156e6485cf1a4dfe6a8be3420597}} to demonstrate convergence of Implicit Update (IU) dynamics and Predictive Methods (PM) to a neighborhood around the optimum, with the size of this neighborhood shrinking with the width of the neural network. To do this, I separa... | i | 1261baa4097c6a577040009ac644d36d |
In this section, we present numerical results to demonstrate the superior performance of our proposed NN schemes. The data set is obtained by utilizing the conventional optimization scheme in Section III with {{formula:dca59dd2-5d7f-4b60-84d1-5240cbe3bf2b}} different random channel realizations. We split the data set ... | r | 5cbd92e610fb1f9af6a78d656756f722 |
In {{cite:a351422c9907b22ae6c0f2061df836a405eda1e4}}, the authors studied the degree-corrected HSBM with general connection probability parameters by using a tensor power iteration algorithm and Tucker decomposition. Their algorithm achieves weak consistency for uniform hypergraphs when the average degree is {{formula:... | r | 973d3889e2b8bf4e3a61d988a7f151ab |
As exemplified by the Bonnet–Meyers Theorem, Differentiable Sphere Theorem ({{cite:43828a65db6c508deeda99a9d2f8ffe589116acb}}) and Poincaré Conjecture ({{cite:e33d77480106735da2cc9c698799a03316ae9a11}}, {{cite:a12b97d505aee7ce6e220fdffef9b69fd7c2b700}}, {{cite:3e9b2f0b973cb8b1538029d9e98e412a120a201e}}), to assume the ... | i | db77ade07828e5e388ae72cbc6ee701b |
where {{formula:5bb36ed7-9fa1-48cb-abf8-4806209b748f}} is referred to as the augmented Lagrangian for problem (REF ) with penalty parameter {{formula:a8648ef3-5b1b-4d06-863e-2547b8768aea}} and dual variable {{formula:23249d76-b3c0-4eef-8bdd-64778ae9664f}} (see e.g. {{cite:cbd23fcf00f48cc435e814cab79cd6a97355f6e8}},... | m | dc91bf7498de25f4c161ecfc5be3229e |
As the affective GMM is getting fitted to the data, a small number of affective Gaussian components might overly fit to some emotion annotations, rendering the so-called singularity problem {{cite:1882436b1ae35114c2993338ebe016f7a016c421}}. When this occurs, the corresponding covariance matrices would become non-positi... | d | 2bf20f149399305df699f7d785c7238e |
and therefore, {{formula:a37d1485-bc86-4b3a-8118-81869667009f}} .
Hence, by the portmanteau theorem {{cite:8d04ec22ae72030f49b0f51ae836e33abc913ff2}}, for all {{formula:2eb529d3-7e24-4f4a-bb86-64ca6c802682}} ,
{{formula:103c7995-8c73-454b-af38-6778cb776eab}}
| r | 1d59c24351f6637039f07f34349ecb43 |
The results obtained via the QASM simulator were found to be highly accurate, with the error that is inherently associated with the quantum projection measurements giving rise to very slight deviations from the exact results.
The results obtained by implementing the simulation on the IBM Q quantum computers were also f... | d | 1973b443ade499d0cf4e47b74a49edd9 |
Image classification is one of main topics of neural networks,
starting from the success of AlexNet {{cite:972da84b527e22d0e94f4fd0052f12195d48f67f}}.
The availability of object classification can lay the foundation for advanced neural systems
and is of great significance in the research of perceiving media data, such ... | i | 997f46e3aa1cd3b53a0ac23be2543be5 |
Non-uniform Blur: Our deblurring framework is constructed based on the physical blur model (REF ), which assumes uniform blur kernel across the spatial domain. For non-uniform blurring, we can follow previous studies {{cite:1fd41a22b6d915fade3d6fb914badf223c36d25a}}, {{cite:63ccd164df2f56485d2d98693a9f349ea4c159e5}}, a... | d | 17c97fed59eced05e211a5fcbab9bd0d |
Evaluation with beam length=4. We evaluated the model #2 and SDPA model with highest BLEU scores using beam search at beam length=4 to compare. The results are shown in table REF . The PLGA model results in better BLEU score than RNN model {{cite:b4dcc3b2722a87784aaa34309bf31d6bcd239577}} with attention evaluated in {{... | r | 02381232d9976f2af16b49e51e8eea51 |
The emergence of sparse activation in Transformer models discussed in Section (see also Appendix ) may offer an explanation for why DNNs work well and do not overfit.
The notion of sparsity pertains to the law of parsimony, a.k.a. Occam's razor, where among all possible explanations of observed data, the simplest ones... | d | a138b5d924e8609bc4603521753750a3 |
Since these systems are Hamiltonian, one needs to use numerical schemes that are symplectic or Poisson. There are a number of ways one can derive such integrators, such as the partitioned Runge–Kutta method {{cite:ffa9b031c2b589703400e50e5a12a04515f1cc7b}}, or variational integrators {{cite:e8340e0553a0bb052c9a61ede878... | i | 908481f2d19f2f5cf3676510de21c361 |
Our method, which is concisely presented in Alg. , starts with reconstructing static configurations with a state-of-the-art pipeline {{cite:40a5323a66bb1b44d98efacedf00e84bdceeaf5f}}. Then, it finds the poses of the cameras from other takes towards the background and towards the foreground. Inliers of these poses give ... | m | 1bd7d261a9ce343868684fb6e7695119 |
Our approach is borrowed from {{cite:536a7faf0382aeab56f66a25088b6a06483cae57}}.
We estimate the sharp functions of the solutions and apply the Hardy-Littlewod theorem and the Fefferman-Stein theorem. This approach is typically used to treat the second-order PDEs with small BMO or VMO coefficients (for instance, see {{... | i | 89887cb1795dc44c7f320b8ebca7165e |
We compare our approach with the existing methods for UAS, including AE {{cite:43ef2ed407f69c6e46f04608015c366e7de0f2a1}}, VAE {{cite:484751535dddcda48860b1eb041031bc6bda545d}}, GMVAE {{cite:48602189844392fb1e223b9d7306a8e531ca04f3}} and fAnoGAN {{cite:b0ee60bd086ea712e1fb7537c9b671e71a75e115}}, on two datasets, BraTS ... | m | 7c23d04397ee275a8a57042e2852719a |
In order to confirm the results obtained with WKB approximation and with qSW, one can solve the differential equation exploiting the method of continuous fraction formulated by Leaver {{cite:1157bdc8053b0af52a3c4b1dec5a0fe1c8b00f6e}}, {{cite:38550cde923b41e4a8d2349108315eed5bd2a08f}}.
| m | e0ac667832e2127eaa0daa4a5df192c1 |
The general form of Usadel equation {{cite:a34df16a81f0d8e39a12d1abcc891b7abf0f82b3}} (which can be
derived from the Eilenberger equation {{cite:a3c2bf9a3799bb39232712528708e8ed06275971}}) in the
presence of an exchange field with components
{{formula:956ac7c8-bc62-4d7f-af5b-f4c77c03f82a}} in the ferromagnetic layers,... | m | 6883b36ae596ddff649c41f9b28e7dbb |
In spreading dynamics, the most important nodes called influential spreaders or super-spreaders are nodes which can induce the largest outbreak sizes when the spreading originates from them. As control of epidemics is a major challenge the human beings are facing with {{cite:89b7bea027e252aa49fcd6e785ea208b48415493}}, ... | i | 3ad3a01e87896792c06de4ec376ee2e2 |
Both the above-mentioned weaknesses of our analysis are good news. Within our proposed mechanism, the experiments can achieve a much stronger critical current modulation than adequately described by our analytical theory. The goal of this work has been to clarify the physics of critical current control by modifying the... | d | 64ceb4a39c442283263333950720811c |
In this work, we only theoretically focus on the dynamical effect of BH subsystems for the long-term evolution of two-component, spherical and low-{{formula:4794f8e8-7922-4f44-8287-2c318b28d654}} star clusters.
These simple models allow us to well isolate the dynamical effect of BH subsystems from other physical proce... | d | ad6dbf1bbce5c0738de656d97ce8f9eb |
We focus on three popular and/or recent metric techniques: ProtoNet {{cite:7d288cf958bbb69d2e78eb362fbf68023e8d7294}}, FEAT {{cite:d484d1cad5e138572561b0140b7a21c503cbd603}}, and FRN {{cite:d7f9663bc7a2322c76152646c185b1924adf4d0a}}. We describe each model and our corresponding cosine alternatives in the following sect... | m | 9275609defcd8c86ce5dea2e45c13bf5 |
The models were trained on 400,000 32x32 image patches from ImageNet ILSVRC12 {{cite:944acc19ea20ed7c00770fa768a5552731a0f0e8}}. The patches were randomly sampled from images after subtracting the mean and normalizing the variance of the images. Low contrast patches were not included (variance less than 0.32) as was do... | m | 1ffa91ed2115310716028c840ca7f247 |
During the XRT monitoring of BL Lacertae we observed a softer-when-brighter behaviour in X-rays, with the photon index ranges between 1.35 and 2.63. This behavior can be related to an increasing importance of the synchrotron emission in the X-ray part of the spectrum covered by XRT during bright states, likely due to a... | d | 81c16706562b89ce926f7d0fd2f4a28d |
in the basis {{formula:2ac6524f-245c-4dba-bada-826cf2714811}} with {{formula:d08bd062-a942-4054-8089-8f031caa02f6}} ({{formula:76abdb82-e44a-4acc-a8ba-e5c7367fdc05}} ) representing the orbit (spin) degrees of freedom. The Pauli matrices (identity matrix) {{formula:5849ae0c-fd38-484d-8e47-417596f707cf}} ({{formula:0... | m | 17883904e568c5659374b0368ba4cdc2 |
To preserve the purely ingoing radial solution near the horizon, we expand the function {{formula:7035f5e9-9bec-4859-86d9-b70e282885e6}} in the form {{cite:bfb69c807f83fa233c6c0b279f8d63e08074adbf}}
{{formula:f9184c15-ffd3-4cbd-9ebb-816b77879654}}
| m | bbfca6058eb5d5ff39abda007ee21f46 |
Least-squares and logistic regression on graphs. Paralleling once again the results of {{cite:c577761848510c1b7510ff19d34ae4ea52acdd04}}, it is clear that
our certified graph unlearning mechanism can be used in conjunction with least-squares and logistic regressions. For example, node classification can be performed us... | d | ed21a19fac7a558ca6808543106dbec1 |
The results follow from a straightforward application of Proposition REF using {{formula:5c051042-31dd-42b4-a5c4-0cc51cf83f98}} the distributional representation of {{formula:7f8a07bc-1aad-4e94-9a50-38ef94d0b23d}} , and the appropriate Gamma randomization to obtain independent {{formula:861cc100-0b39-434f-9100-7981b6... | r | 9d7686b5ec566546abe11a89c6e562e1 |
where {{formula:3662ec60-c40a-46c0-a856-b24c2db9a584}} is the set of exponents of {{formula:1bdd6308-e568-46a1-baf9-e0b86841951d}} (see {{cite:d32ac1a15139bf52227f55b783a36f301318c47e}} for the definition of exponents),
{{formula:3db98f1e-c025-44ac-88b7-c43ff6d7397e}} , and
{{formula:28280ead-3a9e-41cb-ac4e-103b519f0... | i | cc30fafa4d52f13494b270304d4f6597 |
The general unsupervised learning model defined above without any other inductive biases cannot ensure the disentanglement, as is commonly believed {{cite:cc8b4f3aac6f96b157c45cf4f8aa87e1f9fa3964}}.
To achieve the disentanglement of content and speaker representations with the above formalization, our solutions are as ... | m | 7bbc9f6b713b8bfb773fbe46ac2655ee |
Our method for solving the 3D image super-resolution problem relies on deep neural networks. The universal approximation theorem {{cite:46ff171cc0cc38f72266ee5840083444f3749bc0}}, {{cite:04804e11ad37946155dbc7e8dd72ec9ea92c983a}} states that neural networks with at least one hidden layer are universal function approxim... | m | db1b0e44e52cbaed0feded193576b05e |
These models, which we will refer to as Hamiltonian Neural Networks (HNNs), are able to learn more accurate representations of the world than would otherwise be possible. Recent works by {{cite:e86575e08d8e2f5df6b3aec6eafba9fa3ad60e38}}, {{cite:c705dbbfce570b97dbc4459d598a81df0cddc370}}, and {{cite:6440945d371259dc94ef... | i | d12ea2f8b7f98655e5070c0315b7bd13 |
This remaining performance gap significantly diminish the relevance and practicability of these techniques for real-world applications where a high level of accuracy is required. To reduce the domain gap further, domain adaptation coupled with weak human annotation have been developed {{cite:ce95c2c7519724fcd08ae73fd6d... | i | 76f611771f0f9533db336c6a9f4c7d1a |
This work continues this line of investigation. Our main contribution is to show that this centralised distillation is unnecessarily, and indeed sub-optimal. In particular, we propose an online distillation framework, where each worker both learns to optimise performance in a local domain and also mimics its peers from... | i | 21cdc3c49a8bca289252e106a0467538 |
We compare with several recently published methods, including: 1) Rule-based or unsupervised contract processing models: Extraction Zone {{cite:ebd9192c03ff0b218b0df40e79d71d9ae521ff15}} and Sentence Match {{cite:382531993d3bd4918f0ad7bd750a5cfaa90d0de2}}; 2) Strong pretrained language models: BERT {{cite:42859b6da7006... | m | ce100077a8398cbc9ef1f8906dea6255 |
In addition to these differences, at a qualitative level, all of the cases considered in this work had a number of common features in all cases examples. First, the variation of HMI and reflected entropy has the sign due to presence of the anisotropy. Regarding these quantities as measures of total correlation between ... | d | 2975c10c4995273757cf4806729871b3 |
Both Replay-Based approaches tend to be computationally- and/or memory-expensive, especially as the number of tasks increases {{cite:d0940debc6f3e831dcaa422d2e546a0b0a638596}}, {{cite:28ba4772f776dd4d34bdf05cfc5bf1aadd0fba26}}, {{cite:b0f3339b5d8eae7813d94cf661aa327bcef0a1c8}}, {{cite:e92f17c16db3aca582a7b8f76a7da7973f... | m | 77aa0d951858b64baa9be6501a922589 |
Before discussing the implications of this finding we first summarize the possible limitation of our analysis. (1) To perform our analysis we needed to use high-resolution racial grids. Such data represent streets and roads as uninhabited areas. Using image processing techniques we have removed streets, but major roads... | d | e424ca16b5d716c44e4a48ebc3ca6edb |
Recently, PVNet {{cite:867f9c5355723dc8f25f39636fd723c4c12deeb7}}, DPOD {{cite:24978c38778f3f57e7a52396175c7a1545d162d5}}, and HybridPose {{cite:679f653a02f7674e0a20df466a2392c8263f1bc8}} have shown excellent performance on 6D object pose estimation using a two-stage pipeline to estimate a pose: (i) estimating a 2D rep... | m | 67b572a428a4a30f8ec534950a7b9b4f |
There are a few commercial attempts to market systems for card counting monitoring. Tangam Gaming {{cite:1539e6c79416e94a9a588ab520fac8b9632d31d2}} produces an automated card recognition system that requires the use of specialized hardware such as RFID. The MindPlay21 system relied on a range of specialized hardware wh... | m | 2bdc5810b5c18a32b43bafc1aa209d5e |
where {{formula:cf9c180f-f41a-4293-b294-d8147a15b2d1}} . The function {{formula:283a1773-9095-4a22-b3ef-0032d9e19df9}} is convex, and is minimized at {{formula:eeedbdf8-fcd5-4a2f-8e90-8e0c3bd5709d}} . Therefore, we can show that the limit distribution of {{formula:ced7336b-aae5-49d9-a41d-67bba9af227b}} can be determ... | r | 94ed3485d1415f3bf00a72234ba40c2e |
Table REF shows the overall cloud detection results for FCD in comparison with CAM {{cite:58ff1d95f1dea574c3e87db0e11f51aba2e0575f}}, GradCAM {{cite:2e7bcdd554a9f29615a1425cef0f271157d09f6b}}, and GradCAM++ {{cite:9a7fa9a6b73fac81e2720cc65b07e1b41940fb92}}.
We find that our FCD greatly outperforms all CAM variants in ... | r | c3efd03ace23d51cf261797764eb3cd2 |
For time-stepping, we use the 8th order Dormand-Prince Runge-Kutta
scheme described in {{cite:0372db6c92cbaec9151700f813c30cf95ac9822b}}. The solution is recorded at equal
time intervals of width {{formula:b5943e7b-01f7-4368-92f0-4294d635a92d}} . The timestep of the
Runge-Kutta method is set to {{formula:9f270163-5bbc-... | r | f0d245d227ba66cc529a3112cbd82618 |
We assume that the reader is familiar with the basic
theory of lattices such as a partially ordered set (poset), a chain, a
lattice, a subgroup lattice, a normal subgroup lattice, etc.,
(see, e.g., {{cite:b733702a3aa649f25adf4680e4401c442be91158}}, {{cite:695965cd69fb757a9256171a04c96b401fca307a}}, {{cite:5141b724d5999... | r | e5bb5a4a8dc437c599817616f8bca885 |
The dust mass obtained from the model shown in Fig. REF is
{{formula:d569826f-5077-47f5-a740-8b617eedc900}} {{formula:d81a5798-ffcb-4efa-ad38-1c8b228cd6d2}}, adopting a bulk density of 2.25 g cm{{formula:9d4195f9-f1cd-491d-a746-c944a3abd620}} for
amorphous carbon (Gilman {{cite:ba54358e30f0285fd25884b695b38fe8ce4dca... | d | 55ffa4ac58ec15b34c0656bc9370dc8c |
Finally, SPVNAS {{cite:d3f1d3f456bcc1a19bd109e8f85c72358cf8490f}} builds upon the Minkowski Engine {{cite:edcaba444224a5f62cab4ee4b9ba0964371701a6}} and designs a hybrid approach of using 4D sparse convolution and point-wise operations to achieve state-of-the-art results in LiDAR semantic segmentation. To do this, auth... | m | d1de1a6b9e291c0cbc2f162d7ab70d46 |
Although the Shapley value provides a principled framework in game theory, one critical issue is that the economic notion of the Shapley axioms is not intuitively applicable to the attribution problem {{cite:3992ea8fc4974dca10b1959c3b5b7f849a8f60f2}}, {{cite:6484433d359324786d7d6150c6bda4f0701f80ee}}. In particular, th... | m | 7a48a49214ea56eac367e562948840ae |
To improve the certified robustness of randomized smoothing, efforts have been made on both the training {{cite:025b9a65fcb89c61847230cdbdea3a807461bd75}}, {{cite:ac3f032772522f73475b134ac132a36314792c65}}, {{cite:cef20df1db545a747f4b239e19ab2ae45528ec76}}, {{cite:7eb5197ed9c867084bd17ae0de9676f35051f935}} and the cert... | d | 95843c74d79fb542dbdfd8c7d23e4641 |
The tomographic redshift distributions predicted by the forward model are shown alongside the spec-{{formula:d2009250-07e7-4433-97c8-6f5be61b9691}} histograms in Figure REF , and the corresponding bias on the mean of the redshift distribution in shown in Figure REF . The forward model is able to predict the redshift d... | r | a6107dffca39866a716f2e4a74409c47 |
We may transform a system's (conformational) free energy by supplying energy through external control, such as in the case of single-molecule experiments {{cite:85b1938c139ffe38cf3b5a5c4ebd41dabbb262bc}}, {{cite:039c978eb6a048b01ee023b7261d0b886ab1b886}}, {{cite:1dc5182c3ecbfb0f8c447760341ed860d126e793}}, {{cite:b082ca... | i | 544af7c69aea7b25f57faba2ebbce334 |
It is generally believed that the highest burst rates on average are found for the sources with burst oscillations. However, it may be a selection effect as not all bursts exhibit burst oscillations, and therefore, a high burst rate means observation of many bursts and hence burst oscillation detections.
Oscillations s... | d | 47fdb12d10d7a78db1fe9ca50c250186 |
Other aspects: Choosing the right metric to assess the performance of a segmentation model highly depends on the task for which the output of the segmentation model is used. Overlap ratio measures such as Jaccard, and Dice are the most common metrics to evaluate the accuracy of segmentation model {{cite:cf2fe2fd1a2f6f0... | d | 62ceaea6a488be18b29517cefb173542 |
Thus in each iteration {{formula:91a39535-7117-409a-889f-1159617c31d4}} , the two methods simply take a proximal point and proximal gradient steps, respectively, on the static problem {{formula:372486cb-2980-42a5-806b-673385025e6b}} . The proximal point method in the extreme case {{formula:a271e30a-5a4d-4832-8d68-e9253... | m | 6648079796a161759164c3b78711ed1f |
Experiments on MS MARCO and Natural Question data sets show that our RankT5 models fine-tuned with specialized ranking losses can significantly outperform other T5 ranking models fine-tuned with classification losses and previously proposed T5 adaptations for ranking {{cite:03bb2e586faeb8978675b9de2035d1c020616580}}.
W... | i | 8a8954288c2881257b76a9f41d3a593b |
The impact on the performance on the test set is less severe, as can be observed in figure REF , but still on the order of 1 percentage point. Incidentally, the mean result for the reference labeling function improves slightly on the state of the art for this task as reported in {{cite:dd8f3671de2cb54257358c2488290f3cd... | r | 3224c54e9adea704e4a02933c3d89044 |
The water waves problem has been widely studied in centuries, see for example {{cite:56a91bf9a5c0f98700d2f45d6ed30cba339f3970}}, {{cite:5017c0b6336802e06521ff2edd18fe6a9e3def72}}. This problem focuses on the motion of an ideal fluid and describes the evolution of the free surface {{formula:73a47408-6d76-49e3-aa14-eaae9... | i | cdda81699d8438451bcb7dc05fa9ea3b |
In the context of the model presented in this work, if we assume that at the time of the bounce {{formula:456106a5-21a2-4e38-956e-70f85dee802b}} , the surviving black hole has a mass Limits on the {{formula:67351937-5b9b-4032-b289-f56fc0e0b399}} -distortion in the CMB due to
the dissipation of fluctuations before decou... | d | b1af3daf589a9f9e9b36e4febefbb1a1 |
We focused our habitability analysis on orbital evolution, but many other factors might be important and could be included in future work. CBP rotation rates may reach a stationary solution analogous to tidal locking {{cite:f8c4fd07aee1cf84fe0c96440c78b6a128c857ee}}, {{cite:38e9d0f13e8432d3053fa81c4af5036f112e1b71}}, w... | d | a96677ddb8aafaf2a1ed2bf593c07893 |
Overcoming the challenge of scalability has received much attention {{cite:3762fa7ce0d7df86e300655ddd80354a9526b213}}, {{cite:4ee4eadcad7e9abc4997476d6b277a1fd1374df7}}. One class of approaches is to develop efficient algorithms based on first-order methods. For instance, a general conic solver based on alternating dir... | i | ccc93abd778c18d416669ed1cf1b8db2 |
Figure REF plots histograms of the number of whistler events versus solar wind speed in the {{cite:b461949e55e2fdc0be4f5d591c747ac458526cad}} STEREO database (left) and the number of PSP events color coded by encounter (right) versus solar wind speed. The center panel plots the PSP events versus solar wind speed and r... | d | d4a46db2489bd4e41c6c412f5374d591 |
This paper investigates the construction of {{formula:95f40882-280e-48f9-9d29-40954b7ff9d0}} using decision trees. The use of decision trees to compute {{formula:2427a186-808b-4491-9e71-4cc77a924197}} was one of the suggestions included in the seminal paper of {{cite:9fbf54e97898d96628f818850504c8186a561c61}}. To the... | i | f96d07eb49f39bbffc431086173c8aae |
We believe that the principles revealed in this work exhaust the many ways one can engineer the phason spaces. They show that, in principle, there is not limit on how high in the virtual dimensions one can go. However, in practice, we expect that the actual laboratory designs to become increasingly challenging and the ... | d | 019b7ac76bb89bc06184665a3c71830f |
Constraint satisfaction problems (CSPs) are cornerstones of both classical and quantum complexity theory. Indeed, CSPs such as 3-SAT and MAX-2-SAT are complete for NP {{cite:5838bd499d639f311d3533ad640d4e086efa699a}}, and their analogues Quantum 3-SAT (3-QSAT) and the 2-local Hamiltonian problem are QMA{{formula:5ac4c7... | i | d8e88631868a1f30e291d0195ef37c3d |
We generate a diverse collection of NCA level-generators through CMA-ME {{cite:77212dc84b2bda150ffb0d016af0e76d978598ca}}, a quality-diversity algorithm combining the adaptation mechanisms of CMA-ES {{cite:d3942c6475cc0820dbdfdc636cae244aa1076c8d}}, {{cite:116522e0587702bc6a189575d298a8f596663a8d}} with the archiving
m... | m | 603c90644909b061787601fe0907d7b9 |
The hydrodynamic stability of an accretion disc is related to the choice of the combination of parameters of the flow {{cite:193d286eaafdfa7355cd84e296337d9b5f678c3a}}, {{cite:c217fa37a09d9e68fca3dc6012aef593b8b73a62}}, {{cite:23543734fdf901278070de3b0da40e79eb43afa1}}, {{cite:c22fd01bf7cd54db701c481a761c0cd196bb30ad}}... | r | 30a9e9df657959daee6ca69615113892 |
where {{formula:b51b2c61-85ce-4b47-b3d0-7d08408b5353}} , {{formula:2d6ee8e3-0f8b-46ca-9f6a-80fac8e3a421}} 's are obtained by sending multiple augmented versions of {{formula:41885943-e848-4a02-b8f1-b821b2d59a4e}} to {{formula:96bd03b2-4cf7-4a07-89a9-83d6e7d5a136}} . This loss penalizes over-confident erroneous predic... | m | 2a175dc727b60cd3848a2e7328cef479 |
The magnitude of the peak-dip structure observed in {{formula:8b752ab5-445a-4c17-af40-c7141ea2a4d0}} is a direct consequence of the mean-field approximation employed in our calculations. We note that the inclusion of mesonic fluctuations weakens the critical behavior. This was presented in other models exhibiting {{fo... | r | 26197ac65ff15bee4b6da4f7eec5899c |
However, fewer number of communication rounds does not necessarily induce a lower communication cost. Communication overhead is also affected by the number of transmitted bits between the clients and PS, which depends on the size of the transmitted vector/matrix per communication round. Hence, a direct application of ... | m | 99e860319083cd149c0496da9c108d1e |
Spikes are estimated at timepoints for which {{formula:b01856ca-ccd4-4fe0-9593-f9396959049e}} . To conduct inference on these estimated spikes, we could leverage the framework in Section REF , along with recent developments in selective inference for the lasso and related problems {{cite:ba24e7737df7e8560cb86495ffe2c3... | m | ebbd0d85706f3f74eb38218e0e4bf3c7 |
Synthetic text generation: the synthetic text is created using the delexicalisation method proposed by {{cite:5ce87aadb9c2e1b06ab6692a96b44b07ba4dd6c0}} but modifying the delexicalisation algorithm so that it can be used for agglutinative and resource-poor languages.
Synthetic audio generation: the synthetic text obt... | m | 81725898f9bf91174f95f153e998cec8 |
In the following we will describe and analyze an approach to reliably estimate these kinds of uncertainties for NNs by modifying the architecture and introducing an appropriate loss function.
The structure of this paper is as follows:
First, we will briefly discuss aleatoric and epistemic uncertainties using a pseudo e... | i | 7ba38def43c0900abd715513d62c6b0c |
Let {{formula:0cbe6df8-aa75-42c9-8f76-2a3a6fbe391b}} and note that {{formula:a5af8b81-aaa3-4f21-8947-b52a8019b8d4}} . By the symmetry of {{formula:1b80aa95-3bf5-45ed-99fe-fe3a23d53054}} and the contraction principle for Bernoulli processes (see, for example, chapter 4 in {{cite:3dc4c7931b58c4eeb5b4e9b205ef5e33c2c4385... | m | 24d1fa5ceae8db98ec9e91eae0cc68b2 |
Among others, brane-world theory has been put forward as a prospective framework for DM candidates {{cite:802bed8f4ce36da1e6720ff0bbb2380baa7a107f}}. In this theory, the characteristics of the suggested massive brane fluctuations (branons) match the ones of weakly interacting massive particles (WIMPs), which are a well... | i | c9e79fe9a2d5c1c725e95e8e6e1e439f |
The Fokas-Lenells equation (FL equation shortly) is a completely integrable nonlinear partial differential equation which has been
derived as an integrable generalization of the nonlinear Schrödinger equation (NLS equation) using bi-Hamiltonian methods {{cite:3173f5c1aecd511b8d3099057d386c5d2e73e7d7}}.
In the context o... | i | 4ef5d622bd120c64ee335c7aa8145f14 |
We evaluated our framework on the BraST'18 multimodal brain tumor database {{cite:f27e696f141a449899e7c1ba4755b2b7e166544d}}, which contains a total of 285 subjects with four MRI modalities: T1-weighted, T1ce, T2-weighted, and FLAIR MRI, with the size of 240{{formula:3f21374a-a161-431c-9aed-d4a8ca7f57fc}} 240{{formula:... | r | 7b6ea427e522c9cb1aa70d95b903aeea |
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