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Multidimensional scaling (MDS) is a technique to solve exactly this type of problem, that attempts to minimize the disparity between ideal and low-dimensional distances.
This is done by defining an equation to quantify the error in a layout, and then minimizing it. While this equation comes in many forms {{cite:dbb36e8... | i | ed0d2b9c67b49db5c02acd990d045abb |
FixMatch.
FixMatch {{cite:689a0a37412d533489550693e3900590d188fa54}} combines consistency regularization and pseudo-labeling while vastly simplifying the overall method.
The key innovation comes from the combination of these two ingredients, and the use of a separate weak and strong augmentation in the consistency regu... | m | 4b7edbf495087b37c8d5821d3ea83629 |
The possibility of analytic treatment comes with limitations. We use the rotating wave approximation (RWA) throughout the paper, which means that all frequency scales such as Rabi frequencies and detunings are much smaller than the cavity mode frequency and the optical transition frequencies in the qubits. Beyond the R... | i | 4b2ee03d0db8fdeec94acbfdb62e5434 |
We finally recall the privileged position of the two-party {{formula:84c77c42-d47e-4c13-a802-0b54f15b692c}} -mode GSs,
for whom the above necessary conditions regarding both kinds of quantum correlations
are equally sufficient ones. We start with Simon's seminal work {{cite:f78e17161e3869721f230a7c78d00e1788fc4ca3}}, w... | d | 502260dfd7587fbfdd08018f552ea739 |
Secondly, we directly compare the results of the QRCM to its classical counterpart for the same flow. We identify hyperparameters in both approaches that can be related to each other. Note that classical and quantum reservoir computing models differ essentially, which is primarily a consequence of the linearity and uni... | i | ab30e452fb432a6c8b1e4ab081b8c9d5 |
Although {{formula:3c01b1fa-30fa-4347-927b-924f0e15024a}} has been calculated with high precision {{cite:2e80857e1fd3d4cafff01f3ee4a5284ba842fa4d}}, {{cite:5ab27c58bd7960327e10875521f1c0668aa80fde}}, {{cite:e2d74999524305ceb457168e71f301d7755b9114}}, {{cite:13a2411682e8dde40043d1ac7f00502b260a53de}}, {{cite:c20e561858... | r | d7ed7990466241889d1dac40c0480727 |
In this sub-section, we present an intuitive comparison between our method and other RGBT trackers on several benchmarks, including VOT-RGBT2019 {{cite:cd398d934569fbbd3f30f5435fa60076ac386c16}}, GTOT {{cite:9fc09016217e9db0c6146a241dc2e9b7f40b3494}} and RGBT210 {{cite:e3d17a9b314b0eab66477f0d871a5c01c9477d95}}.
{{tabl... | r | 518d46c4e8ae5cc70ec7b5705e0ab820 |
Generative modeling has seen drastic improvements in recent years. Especially for images, state-of-the-art generative adversarial networks (GANs) produce fantastic results {{cite:fc23415728481acdc28e4834c4c27e244ad5aa9a}}, {{cite:b5b4ccfd249d1b44faa769621747cdd5a9638f25}}, {{cite:975f7434e1ba85f5fa28ab01647c449c7f95c75... | i | 9a7a9ca9bff096420550b8a7fab28afd |
where {{formula:970108bb-fe52-4df8-97fb-fc21fc6161b0}} denotes the Robin transmission operator, and
{{formula:578b5915-95dc-42fc-bfe8-ed160e44716f}} are nonnegative acceleration
constants satisfying {{formula:784e605a-193f-4d40-9006-559faea90a37}} (see, for instance {{cite:0a1b1861b366379e852178806e0d739384344a77}} ... | m | 43b47e9cac57fe0ef821aa98622c2c99 |
In the redshift
interval ({{formula:e3263a08-bfbe-4698-9d5a-24932dc2109a}} ), that overlaps both of the redshift ranges that
we have studied, {{cite:ee584d0d35f7eb5d17fff98f3fbf3004a386ac50}} used the Hubble Space Telescope
to measure the UV luminosity function to fainter magnitudes than
{{cite:6e631beb328acfb7846c13fa... | d | 349581bc15475efa4ac37f120cd78da6 |
In Sec REF , we showed examples of different masking methods: TM, FM, SpecAugment, and PM.
SpecAugment {{cite:679087cb507d44ce73dbf3b27d75a8d8f661d180}} is a simple but effective masking method, which has been applied to many environmental sound recognition tasks.
It randomly masks the frequency bins and time frames of... | m | f4f88641ea8ae3e6a946c73c38248064 |
The differences between OPAL and OP opacities are small but can obviously affect the properties of
solar models. The {{formula:983de5f4-efb9-4d4a-955f-4040b36cab3b}} B neutrino fluxes computed from models constructed with OP opacity tables
are lower than those calculated from models constructed with OPAL opacity tables... | d | aedc01aa6625bf19d17c459032d18b70 |
We show the segmentation results on BB in Fig REF . Our approach (column (1)) achieves the most stable predictions compared to other baselines. For example, on row 2 left side, the input BB patch has a large portion of artifacts and tears. Our approach exhibits resistance to those regions while still generating a meani... | r | 79567dbb24022da90638b5d19e40dd4e |
In this work, we exploited the step-wise target controllability framework {{cite:5f1a23be93b42328aa2756867b38e926f70b812a}}, which relies on a lti dynamics and is based on the Kalman rank condition.
While it is known that the brain presents a nonlinear dynamics, the study of linear models has proved to be beneficial in... | m | a00d7576ab7d2baca4d9a6ae169c7059 |
Neutrino oscillation has substantiated the evidence for non-zero neutrino mass. Massive neutrinos can also have a non-zero magnetic moment. Although they cannot directly couple to photons, a magnetic moment of neutrinos can be generated via quantum loops. The minimally extended SM (MESM) value of a neutrino magnetic mo... | i | 1cbc1e74febaf1de21475880c30ad425 |
The violation of the inverse-square law encountered here is not incompatible with the requirements of the conservation of energy because the radiation process by which the superluminally moving current sheet in the magnetosphere of a neutron star generates the observed gamma-ray pulses is intrinsically transient. Tempo... | d | 2975309cc2bbf8e1dadfecb1911fbb4b |
To compare torsional responses from the two-phase model with that from the WLC model, we tested at a constant rate of supercoil accumulation, {{formula:4937a6e9-0310-495f-b394-72ef2777dd41}} per second, comparable to the RNA polymerization rate during transcription elongation (i.e.,{{formula:8287f878-5dcc-48c7-aa1b-85... | d | c43e2a34bf1984ae0e78ae9e40c41405 |
Ideally, we would like to compute the size or complexity of an operator in a CFT. There are quite a few available approaches and some of them are applicable to our current scheme. For example, it is straightforward to compute the complexity of a bulk operator using the techniques in {{cite:f4dfbb59624f198698dd1a665eedd... | d | 6537409d5c89bb4e42a7f9b838c5af0b |
While much research has explored how echo chambers on social media platforms fuel polarization {{cite:bab329483f93827c40a49d716c6dee10829134c5}}, {{cite:f8e7de6590e9ccd15ae24f26f6b0976a2c0b9ad9}} or provided theoretical explorations around how connections may be formed between individuals with opposing views in order t... | i | 45ecf19aafccfca525c1da0fada29931 |
The DBM{{cite:bc9d02a9a82c449ff6c98d041504be0161d1c4a3}}, {{cite:d59d3a546994408ecf7f0149bcf85cd55b7fcc6d}}, {{cite:a01b39f4863eef5f2228f4a739fc8598260fb0bf}}, {{cite:8d7f8b469e3b15e12a90cd799d275b69ea651d64}}, {{cite:50ca09e754eb8d4fab9e2b50bbf7142096ef0ab1}}, {{cite:375dfb9ed67b77b8f164ae7ca8361f372b1e6e8e}}, {{cite:... | m | 30fadb34a1ab0c2488b1211d215de611 |
The fate of the metastable state beyond the probe approximation involves higher levels of complexity. Considerable effort has been devoted to understand the properties of backreaction in the supergravity regime where one needs to construct backreacted anti-D3 brane solutions with KS asymptotics. Many works, starting wi... | d | 56db6f13dd5ad3eacb9cad909cba6ec7 |
Let {{formula:30b7ec01-40e7-4c49-91c5-d6213354449c}} be a (always Hausdorff) topological space. Recall that {{formula:18cf3093-cf67-4ee4-94e2-dad70f9513aa}} is totally disconnected if all of its components are singleton sets, and {{formula:194e3cbb-becd-44c5-be45-5f146ed7490e}} is zero-dimensional if {{formula:574f2... | i | 4d086ab6b9d8960c63e96f9a49ff2ec1 |
Often labels are expensive to generate, especially in fields developed by highly trained medical professionals, such as radiologists, pathologists,
or psychologists {{cite:3fd1110255be49ba983d9338e797f55abfee271c}}, {{cite:9a1e363b63967ec80746ce3ccef752f6eb6f7337}}, {{cite:9f6c5f62b1a85fc453fc560d0dfdd868ccd72d87}}, {{... | i | ca80612ade2dbcde1d0f73e1a37c1ee5 |
Recent methods including SLAMP {{cite:15217ecd11a2391b101b9c8b55b11c53c06c15c1}}, Improved-VRNN {{cite:44da6b052b58e4760cd5d6e3e9363225e1704215}}, and our models clearly outperform SVG {{cite:6331e3a6b786e30edc3160498753cace5a385d92}} and SRVP {{cite:8d183dddd91448cbda3d38090a311ac079209e24}} in terms of all three metr... | r | 8043ff184f3dbcd08fb42f3f388bc2c7 |
Images from modalities which capture internal body components such as X-ray, computed tomography (CT), or magnetic resonance imaging (MRI) are often viewed and used by model developers in a qualitative way similar to the way natural images are used. However, many medical image types should be used as quantitative maps ... | i | 52c507eab58c60877289025fe9ec8bd7 |
The yield ratio for multi-strange baryons, {{formula:41a83f24-bb02-449b-b5b9-2641e3a23713}} and {{formula:13cd4784-a4b2-4b16-836c-4a366eec7ccd}} , are displayed in Fig.REF for both the scenarios A & B. The solid points of both panels represent the data from {{cite:91ba5a4a775a439f9f4b2a66b93de42d5d6f98f2}}, {{cite:c8... | r | 6c67efcce282749f5a7ff705ea4e1079 |
BP-based attribution approaches are established on a straightforward view that gradients (of the output with respect to the input) could highlight key components in the input since they characterize how much variation would be triggered on the output by a tiny change on the input. Baehrens et al. {{cite:90cb5209a426b3f... | m | 1621201c882b8e3a0f6fdb964b1ca529 |
In this paper, we study an important kind of classical quasi-Newton method named SR1 for the smooth unconstrained optimization.
Similar to other quasi-Newton methods (e.g., DFP and BFGS), SR1 attempts to replace the exact Hessian in the Newton method with some approximation and the update of approximation only involves... | i | b98dfee0e2652bafd44866de2a759b51 |
We applied inference triage to the data sets mentioned in section REF . For the classification tasks we used XGBoost {{cite:5d3aaf559ce677f56aa6571ff3e5bf969f51524d}} as babybear and Universal Sentence Encoder {{cite:4c64db8c512e62e569ebd7b2d66766ecb0e368f2}} as its embedding method. The code was run on a GPU instance ... | r | 73db88e65eae028a4456c92c581186c3 |
To answer these questions, we relied on two models: an E/I spiking neuronal network in an all-to-all graph; and a probabilistic excitable cellular automaton in a random graph.
Despite the simplicity and limitations of these models (which we discuss below), they have a fundamental strength that led us to choose them: th... | d | 2a8535b8fed248669d20dcbe2f4d87fd |
Practical implementations of {{formula:f1ecaeb0-5b31-4ef0-9a8b-60e45f725cad}} objectives.
After showing the power of {{formula:916096bf-3d6c-4658-9824-e5971ff89f8f}} ,
we introduce the practical implementations of {{formula:d915b5ef-c712-4e7e-bc0d-dc5dfd5fa0e8}} v1 and {{formula:0d8bccd4-8087-4d24-a787-5a62828a75df}} ... | d | b8f75173331a75f8636b5249426c9c33 |
In this work, we introduce the Stein variational policy gradient (SVPG) method, a new policy optimization method that leverages a recent Stein variational gradient descent method {{cite:d3a7374997df721d5bda7a9cb6666361c6d1c82d}} to allow simultaneous exploitation and exploration of multiple policies. Unlike traditional... | i | 17106acd8713d722e837bb87ae333560 |
We apply the the fast gradient sign method {{cite:8895b1a86cfd66ca8311f5a7a817e6553ce1be52}} to generate the noise. The results are given in Table REF , where {{formula:ea8961fe-d2a4-4108-b5d6-9fc56bbdc338}} denotes the noise level. We observe that our MTNPs show better stability than NPs at different noise levels.
{{... | m | 025f4d7fa6ff5e872060adb971277340 |
In this paper, we have studied the impact the MGB gravity on the dynamics of evolving cavity in cluster of stars. The evolving stars cluster are significant for the study of voids as well as galactic filaments. Voids are the regions with low density in a large scale matter distribution in the universe {{cite:b9d68629b9... | d | 951c578550472e855f568af8aadd7303 |
Our calculations are based on the density functional theory (DFT) within the generalized gradient approximation (GGA), in the form of Perdew-Burke-Ernzerhof's exchange-correlation functional {{cite:392cab9c966528bd50273361c6f5b9358a05c772}}. All the calculations are performed using the Vienna Ab-initio Simulation Packa... | m | d72b7e881f4e7286c214d49354d8f1ac |
In GR, according to the no-hair theorem, an isolated and stationary BH is completely characterized by only three quantities, mass, angular momentum and electric charge. Astrophysically, we expect BHs to be neutral, so they are uniquely described by the Kerr solution. Then, the QNM frequencies and damping times will dep... | i | bbbb65cff4143437dee4138376dd6f2e |
Another recent approach to uncertainty estimation relies on replacing the conventional cross-entropy function by focal loss {{cite:4334bcd64acd46d624ace41ad238af92c4c8258e}}. The idea behind focal loss is to direct the network's attention to samples for which it is currently predicting a low probability for the correct... | m | 57ad98e9af45f318751bf77576bbfd1b |
In this section, we discuss the methodology to evaluate the error detection performance (Definition REF ) of the proposed self-explainable deep learning (SE-DL) system (Subsection REF ) and compare it with the existing ensemble technique {{cite:20226cee0c0e3c2cafb99dc581f87fad047caa98}}, {{cite:af889a27f18faa9e7d3d2b... | m | 337da743af1b52cf7711fde71b66129b |
These reactions have not been studied, but one could reasonably expect them to be fast at low temperatures. {{cite:9086c45cd3d7a318adbaa9151ca0a2bd9d2461e0}} assume that reaction (REF ) is rapid and find that it is the main formation route to HCOCCH in cold interstellar clouds. A second formation route can be provide... | d | dff1ac2930dd3170f6a8b6d9a7981357 |
AU intensity estimation on DISFA, results are reported in Table REF with 3-fold cross validation.
AU detection.
Observing Table REF , MAE-Face achieves the average F1 score of 67.4% on BP4D, outperforming all the previous works. In Table REF and Table REF , MAE-Face, with the average F1 scores of 64.8% on BP4D+ and 7... | r | 6075726978164815cf2b3caec49a0259 |
These equations appear in the book by Nelson {{cite:447cb928a26f83604295272ba4ec7cad7195f06b}} although with defect densities written in terms of Dirac measures (which are used to represent isolated singularities), with {{formula:4a197b20-759d-4e96-855d-0d414ac7ba5b}} denoting a density of point defects. The other sce... | r | 1fbe80521593c51ba43816db01ebf6af |
Table REF shows the performance of MetricGAN+/- relative to the MetricGAN+ baseline and the unprocessed noisy audio on the VoiceBank-DEMAND testset. We also compare performance with a second baseline system
SEGAN {{cite:21ce9398a8a096d7e19ca6dd6102fbc4f6922674}}, a state-of-the-art speech enhancement system. For more ... | r | 7639a95c06b42252448c04260dd75c81 |
Proposition 2 ({{cite:7ce66d4d6ce7653f197d0070709a065b6c51fba0}},Extension and restriction operators on
Besov spaces)
Let {{formula:930e0987-dfa5-4a45-8753-dfcd4d066b41}} be an open set with
Lipschitz boundary, then the Besov space {{formula:b1134a53-a5d2-40fd-8643-255167fd4b92}} is defined as
{{formula:c4983b03-52d... | r | 474578cc6a7ab222fec86146d4611e89 |
The generation-based methods aim to reconstruct the input data and use the input data as their supervision signals. The origin of this category of methods can be traced back to Autoencoder {{cite:4029f08a3f70ac44febc4d6ce82c2b4d1f68a60c}} which learns to compress data vectors into low-dimensional representations with t... | m | a34ce7077ecbbfe1fe9dfd06283a2185 |
Many of the ingredients in the approach we have taken in this article also appear in a series of articles by Haggard, Han, Kamiński and Riello on {{formula:5e358ece-ac47-43a7-874f-db296613b502}} Chern-Simons theory and four-dimensional quantum gravity with a cosmological constant {{cite:bc37bf20743a8065dd5397eae975e79... | d | 0136db41d83d31080e2b9a83a6d252b8 |
However, both of these methods have their weakness. MC-Dropout performs significantly worse than Deep Ensemble on some uncertainty estimation tasks {{cite:0cd04a7ad59bb4c3f77a50176442baf00de17608}}, {{cite:d99241a6464045b2ec94007ccd69647f34ece41b}}, {{cite:3cda526a22b211db7f464720976efda8042d10db}}. We argue that the m... | i | b2f6a6b775fd1b350a7219ca1fbe783f |
These low probabilities suggest that the subhalo populations
in the central regions of the Aquarius haloes are not sufficient to
explain the observed frequency of violations of the cusp-caustic
relations. It is important to ask whether our results will change
significantly if even lower-mass subhaloes are resolved. We ... | d | f77a1fd06b95f24698273797421a8744 |
For each convolutional filter in a layer of the network, we can synthesize its corresponding “signature" image based on Activation Maximization. The goal is then to perform K-Means clustering of those images, effectively grouping similar images together while also keeping unique ones into their dedicated group. To effe... | m | 7bd65b881f18c3f1f0aefdea3b69a950 |
We first evaluate our method on CIFAR-10 and CIFAR-100, which each contain {{formula:99d6536a-da9b-434d-b291-ba3dfa9a4143}} training images, and {{formula:dd1c515d-56d6-4042-aed6-f449f26b926e}} test images of size {{formula:f63b8587-5d21-4bea-8361-82c34b24c9ab}} . CIFAR-10 and CIFAR-100 have 10 and 100 classes respec... | r | e00c93f2a1462e652eadb7730fd68dcc |
To the best of our knowledge, none of the CNN based mass segmentation methods have been used for 3-D ABUS images. In this paper, a new segmentation method based on U-net{{cite:488b99ea703e52494d5fda979894ec47be66fb24}} is introduced for segmentation of 3-D ABUS images.
| i | 583bf6dfeab39ab3887a59ced58320a9 |
Tol1326-379 is detected at high significance by the WISE satellite in
all four bands and its colors are W1-W2=0.38 {{formula:c8d97b1a-f189-451d-9bdf-ec55ec418773}} 0.03 and
W2-W3=2.58{{formula:453b091e-52e3-49d1-a305-5c22393e4822}} 0.03, respectively. These are significantly different from
those typical of elliptical ... | d | fcf18ff77f4bbec1d85d55b5827f317a |
See {{cite:8cde128128fa50ee8dabb1728e6adb73d244110b}} .
| r | 7db43032977ff7d56aca94a702756cc8 |
While most baggage screening frameworks involved supervised learning, researchers have also explored adversarial learning to screen contraband data as anomalies. Akçay et al. {{cite:fc00d49c18e00735061d5fcd40ae98a5d784b289}}, among others, laid the foundation of unsupervised baggage threat detection by proposing GANoma... | m | 717a184e6d49703967699f8f4b31d02e |
where {{formula:168d45a5-185f-45d2-ba35-411754bba546}} is the antineutrino energy, {{formula:e6340a0d-ef20-4e3e-b7b1-0d20436d2378}} is the antineutrino flux and {{formula:f721afe6-eb87-49c2-b8db-721b6a906055}} is the IBD cross section {{cite:529c1089ad27923269b65b61f9bb166e405e7191}}, {{cite:325b8f0d044fa55cbff7332... | m | c9a1fe561d5e00eba09be105fefe880d |
Complexity-free manufacturing techniques such as additive manufacturing (AM) have enabled the fabrication of intricate geometric features. This permits the design of complex structures that fulfill specific functional criteria while possessing lower weight. Access to this new design space makes complex structural desig... | i | 91caf86763f8c3772f1ce0cdd7b7a155 |
A second feature of our upper bounds is that they are expressed in terms of
generalised colouring numbers, and hence are increasing with the distance.
However, for none of the classes of graphs do we have examples that show
that {{formula:2254fb5d-0ce6-4330-a5d5-4fb75f8b139e}} grows when the odd number {{formula:5f421... | d | 2a5a2b32a8ce86162b9e54d969f2bfce |
The architecture of the proposed GAN's generator is depicted in the Figure REF . It consists of 4 convolutional upsampling blocks followed by a squeeze-and-excitation block with a residual connection, a technique originally proposed in by Hu et al. {{cite:52c64a579b9a1c045e8bf7a4238c744f3084299e}}. The Squeeze and Exci... | m | 0d437b2b9c0bf62f733185682472f424 |
It is worth mentioning that the dominant quasinormal modes extracted from the time domain profiles by the Prony method are in a very good agreement with those obtained via the 7th order WKB method with further usage of the Padé approximants as prescribed in {{cite:178b49918bc449cc5009149e6ada2c1c1cbbbbea}}. This can be... | m | efe93799b8d219437df4f1838927595b |
A method which has shown considerable improvement isolates the desired source using a time-frequency mask and then uses the statistics of that masked source to steer a beamformer {{cite:aea3d7e2c4781698d5f93e3e715839c53ccc06a4}}, {{cite:3b683db2b6f8aafec99010f3055313fa1a54c1b3}}. While effective in non-speech noise, it... | i | e38a9ab4e30abaf0dea29538fbb3517f |
Finally, in {{cite:c5c7118a054b4081f99b6c498b5e2de8d9688526}}, the author proves the universality of QAOA using a line graph quantum architecture, which is not easily comparable to the method of showing ma-QAOA universality in this paper. The author mentions that this architecture is limited but says that the technique... | d | 4a34bac49bd50432355904288732ec5a |
Table REF shows the details of the original content of all data sources considered. Similarly to {{cite:0a26a63bd2425f1c70b35de14550f20c466c173a}}, our training examples are derived only from Wikipedia (Wiki-Train) and the remaining data sources are used as test cases. Wikipedia provides a large collection for trainin... | m | 9c5c1fc6984a157f4119e0cdded1de9e |
We propose a novel approach to 3D shape reconstruction, called Multiple View Performer (or: MVP) that can be used to complete objects with only two views, or up to an arbitrary number of views, leveraging recently introduced class of scalable linear-attention Transformers {{cite:5d20b4fd34303bc9f6ff3886b5bac6211ea901bc... | i | 5eb3265ccbb9b0e576965d59036cab19 |
This work answers a question raised in {{cite:0f1a1ea26547ab84e95782572755c90ad430cc26}}, namely, identifying the basic ingredients necessary for developing a variational principle all, or some, of whose Euler-Lagrange (E-L) equations are a given system of pde; the functional to be developed is required to have space-t... | i | 90278d2eeae5286c239281c3b1192463 |
In addition to further applications to QAOA, our framework can give insights into recently proposed variants such as adaptive QAOA {{cite:01bbe775e6fc85d890388657aadfe330c6142b0f}}
and recursive QAOA (RQAOA) {{cite:35e240c8a23772e88e3b055e3470cbec28d8cc9f}}.
The framework and obtained results could also provide insight... | d | f4a731eb7f87455de03db8f36399c638 |
The method we propose has two components, Mask R-CNN {{cite:0ac9089ce17fe0a101ce43ac33629a1830eca49a}} and Neural Style Transfer. "Virtual Fitting Room" firstly uses Mask R-CNN to find the regions of different fashion items, and secondly uses Neural Style Transfer to change the style of the selected fashion items (Figu... | m | c6cbac239c794870e0b9ad110a3b24ff |
In the student-teacher framework, as illustrated in Figure REF (a)(b), one image is augmented into two different views for a student and a teacher. The student is trained to predict the representation of the teacher, and the teacher is updated with a “momentum update" (exponential moving average) of the student. The s... | i | b614086fea26ba7d0c902899497fb343 |
A complementary model inspired by the gauge/gravity duality is to use holographic model of nuclear matter and perform weakly couple calculation in the gravity picture to obtain the physics of strongly interacting gauge theory. The Sakai-Sugimoto (SS) model {{cite:bc8d75909d1a40b60d29101cffbca6bc01fa41b7}}, {{cite:e0340... | i | fc1a33b314885cca1b2e9af8f73c9bb7 |
The one-photon spontaneous emission (OPSE) rate can be obtained by using Fermi golden rule and first-order perturbation theory. In the initial state of our system, denoted by {{formula:3d56a37a-4e51-4978-9cbb-0433c6badae2}} , the atom is in an excited state and the are no photons in the field; in the final state, denot... | m | 6cc8f12a2ae45b67eae75876b7eb0887 |
For this photophilic scenario we also superimpose limits from X-ray searches which severely narrow the viable parameter space in the {{formula:0c9054fb-634a-47d7-b482-ba8eca683a60}} region where structure formation constraints fade away. We have calculated X-ray limits on ALP DM by utilizing existing ones on keV-scale... | r | 6e8c096728052d3df6043bb0adf3cbce |
Exemplar-based clustering methods. The selected competing methods are kmedoids {{cite:c3557585cf3c35fcb3655869477ad4822ade9740}} and AP {{cite:d9283bc823e740a3a80ae9c04c0b0db4930eb705}}. We denote the convergence parameters of AP and geometric-AP by {{formula:08f64896-be6e-4c36-9e51-0b36ca3776ca}} , {{formula:ab008ae2... | m | d7c5b53832bb80c6c51ae41d6934ba51 |
For the power peak, the probability {{formula:93a7c656-904a-454b-9434-b749e5d52fc2}} to obtain a power equal to or higher
than the threshold from a chance fluctuation is {{formula:fd526002-72e2-4bdd-8e9a-a525eb27c728}} ,
and the false-alarm probability (FAP {{formula:160da7e4-3c2b-4b3f-b9aa-e62ac120381c}} ) is
{{formu... | r | 6eed792320fea5d30ea9a0b2df2eeec5 |
To evaluate the transferability of our models, we contrast our PSViT-2D model to ResNet on the downstream tasks, object detection and instance segmentation. We apply the Mask-RCNN-FPN {{cite:67e03ebb16f18ac4366e58ee17a5a612498cbaf7}} as our framework. We conduct experiments on MSCOCO 2017 dataset, which consists of 118... | r | 99e6d2a85283ce4f849c46b7ed80e069 |
We should point out that our discussion has focused on the properties of the SC at {{formula:b7dd4534-11e2-479c-a183-a4055a328e83}} , and we have deliberately avoided directing much attention to the properties of the correlated insulator (CI) at {{formula:e3aedd8b-7680-4406-8e56-19b9fb4add01}} . Assuming that the flavo... | d | ac37174018c874f0c2c96139ad61e80d |
It is fascinating that the Kerr solution corresponds to a particularly simple three-point amplitude {{cite:941c1e8cbc2dfec1d5ef3b83fd99fd38d9966bc4}}.
Clearly, this fact is related to the Newman-Janis shift, which is an all-orders property of Kerr {{cite:9449bb80b52056eed838fe4852e449c0fec71a6a}}.
The “single” copy of ... | d | 0742d9d7eecbe7892296d1da42b14821 |
What does it take to reach human-level performance with a machine-learning algorithm? In the case of supervised learning, the problem is two-fold. First, the algorithm must be suitable for the task, such as pattern classification in the case of object recognition {{cite:71295f6e862f785909e896000af93da46779d502}}, {{cit... | i | a10a2d17707e3a4d31de6630981c883d |
where {{formula:19eedcb4-037d-4780-bc08-88be31d21d7d}} is a positive real number, {{formula:c1e833c0-6e69-4401-8679-dd4eaa733558}} stands for the concept of forward difference for {{formula:3d47d5d6-b1f2-4152-b20c-66dd895200ec}} . It should be noted that there is main difference between forward-difference approximat... | m | 13cdc6db9d52dd5ae638f58cc8dd7cba |
Another attention-based breakthrough was made by Vaswani et al. {{cite:11598baf3a3935833a30ebcdef4fb6b37a85e5b2}}, where an entire architecture was created based on the self-attention mechanism. The items in the input sequence are first encoded in parallel into multiple representations called key, query, and value. Th... | i | 962ec77b5c0d5eb168962ad27ac8cc9b |
We performed two groups of experiments.
One included three scribble-guided models, i.e., partial cross entropy (PCE) {{cite:e4225a481a3009856ce0ad8325ed1ceb20c88109}}, weighted partial cross entropy (WPCE) {{cite:e5165bc12599d9517adc19f9ebb74df58377f506}}, conditional random fields post-processing (CRF) {{cite:77d251cb... | m | 471c6360c0f716d86bf4752edfdb35f2 |
Efficient link sampling. A naive implementation of the link sampling in step 5 in Alg.REF is to compute and normalize the sampling probabilities of all links in {{formula:13ef2266-e6ed-40d3-822a-b1a5370d577d}} , which requires to memorize all historical links and costs much time and memory. To solve this problem, we p... | d | 4a9e7a435e6f971c86c345cd79d28d2c |
Different from previous Bell inequalities for verifying special {{formula:666958f7-1136-49a3-926b-a374631f32dc}} -shaped quantum networks {{cite:72ebccf962f1ee6f11552bde4a2a8c6ffe9b3a0a}}, {{cite:043a38f7efd35cfdc95a68e1d9af0fcbfe62e718}}, {{cite:d1a68e3511f02e08523927ca37f1360bb3c374d9}}, {{cite:d56ae285f53c2437a9bc67... | r | 1f09dd4006933b76d76a238a984aa86c |
It is well known that the pairing correlations play a significant role in the
description of the ground state properties of open-shell nuclei. However, the
properties of rotating nuclei and fission barriers are especially sensitive to fine
details of pairing interaction. For example, the experimental moments of inertia... | i | 28a2eb467567dd77863df71e6ad8a2f6 |
In the present study, several ML classifiers have been examined using different parameters for the purposes of categorising middle ear function as normal or OME on the basis of WAI data. As shown in Table REF , results from most of the tested classifiers are promising with the accuracy of most of the classifiers at aro... | d | a16a1aef8594d50ce9e6414bd237380c |
Results on Adience and MegaAge.
In this experiment we compared our method with state-of-the-art methods {{cite:42095a19e6971310fff28dcd68b614daeeb3dd32}}, {{cite:f6085a42c879faad6847b007d2027262c9909f4b}}, {{cite:7fef08d144bb5c39335984dc411eb0d30b62606e}} on both the Adience and MegaAge datasets. For the Cumulative Att... | m | ac24a0c86298ce36421ba207cdec42f1 |
Previously proposed ASR-based seq2seq pretraining techniques {{cite:35d433549aada85e7ff904dae7a5282e20deb147}}, {{cite:f30148664ea5ea42907e75c1374f3fed3b081280}} can also be seen as capturing some token level information but still fall short compared to the proposed method. We hypothesize that because our method perfor... | r | 84f9233f9663c4078089e88ca8b61a65 |
We focused to visualize the impact of different OCC methods with NSA variations, and to best visualize, we took shape data-set. Inside the shapes is the true class, and outside the shape would be the false class. We have 2000 data points inside the shape class. We have another data-set containing 2000 data-point inside... | m | c36d8a2aadc075a71e224b16978ed55c |
Specifically, we include the following representative methods in this section: CORAL {{cite:fde84e3f7dee25c92dde624b669e163e1a2077d2}}, MMD {{cite:affefb70e3a9aab15c93df436087d2ba728031ba}}, DANN {{cite:f7581dd8914633b221de87ca5979e4c118be792e}}, C-DANN {{cite:57be0fd536966d7fd3e087f83027e4bfdc5d43cc}}, IRM {{cite:2d6e... | m | 958a19ffb29dcc1e0cb43d530cf9b0e6 |
Problem statement and experimental setup:
We explore anatomical segmentation of lung, heart and clavicles in a multi-center database of chest X-ray images, with heterogeneous labels. The database is composed of 4 publicly available datasets (JSRT {{cite:ff5d1138fc612d95f8ece6822d4d4581ecbab822}}, Padchest {{cite:95e28c... | m | 1c770cec1e7be323b7876e663fbb3010 |
We use the official nuScenes 3D MOT evaluation {{cite:67d0aa78ca9cccdea178dd9c8328752efe9bdc26}} for comparison, reporting the AMOTA and AMOTP metrics. Table REF shows the results of InterTrack on the nuScenes test set {{cite:67d0aa78ca9cccdea178dd9c8328752efe9bdc26}}, compared to 3D MOT methods using CenterPoint {{ci... | r | c24702895f1af08a54f0a48497ca35ad |
Furthermore, we introduce the cohomology of a compatible Lie
algebra associated to arbitrary representation. We would also like to
point out that there might be more than one cohomology theory for compatible Lie algebras. Such a phenomenon
has already appeared in the study of cohomologies of some
algebraic systems with... | i | 45801faf0dd63de04e48df23c705d23b |
If the UV flux is mainly from optically thick synchrotron emission of the compact jet, the jet should be very energetic. We estimated the radiative flux of the jet at the UV peak was {{formula:3680bc96-5745-45c6-b96f-83724acc07db}} by extrapolating the radio spectrum from 5.5 GHz to UVW2 band. The corresponding 0.1-10... | d | b0ef6f9f1f8d69f11dccab5bb6e7cb9c |
In the FOCP-1, we use the bar notation to denote the predicted variables and to differentiate them from the actual variables which do not have a bar. Specifically, {{formula:fc377e35-af37-402f-a341-ca3848444cbe}} is the predicted trajectory of the state {{formula:31aa0468-026d-463a-90fc-a7d3cd7a28bc}} , computed using... | m | dd629e07e7b189e483f206ebc1b939cc |
Two questions arise. First, is it worth attempting to calibrate the missing
cells in the {{formula:af5fa576-bf93-490f-bb57-1432ed73c17c}} and {{formula:41183c0e-51e4-4e10-a5a9-3cd5673f3bfd}} bands with LUCI at the LBT? Probably not, since
their density is too low for the field of view available. Moreover,
G2020 found... | d | c4b996053f0c8f62bee15f97408cf7bd |
can solve convex optimization problems {{cite:d77f19f43a084941449ce20aac092ae652784e0a}} (see also {{cite:961d8094111646ac05c22fb0bb2b7419d34b3887}} for the convergence analyses of AdaBelief using (REF )). Motivated by the results in {{cite:d77f19f43a084941449ce20aac092ae652784e0a}}, {{cite:961d8094111646ac05c22fb0bb2... | r | 21378b540cebe33dce293d49341be062 |
Spacecraft measurements have revealed that the solar-wind plasma is usually in a state of fully developed turbulence {{cite:c0f215655db107d81a0cabb06a36ed92d43204db}}, {{cite:e5539ea563b9ea39b277ab4a29e7f9e53068aef6}}, {{cite:efcfe3abe975eb2b3f2f242506e2cf3460269ea8}}. As the turbulent fluctuations expand away from the... | i | 218f79d353ba5353bcb5e4bd245a1c9c |
In today's world, repeated measurements taken over time or space are collected across a variety of different areas of industry, government, and academia. For instance, health monitoring of patients, daily weather information, and stock prices, to name only a few. In such cases, the data of interest changes continuously... | i | 267455c41fde0b4165c6225cb4578439 |
Firstly, considering a DUN and a non-DUN with similar performances, we respectively equip them with our sampling subnet (SampNet), so as to compare the different performance gains brought by SampNet.
Concretely, we select U-Net {{cite:738e5a31aa92114319206669f25b577dc640cecf}} as an instance of non-DUNs, and choose our... | d | 1584ad7a0adde1c63a5f2366a2fe8350 |
Apart from theoretical derivations, {{cite:6d4ddcb6394dafd8dad6edd80d98426f657c7f80}}, {{cite:0dc1a8e54c3d3c2fec344559fca2ca84f3d25973}} have discussed the “double descent" phenomenon, where for both data complexity and the neural network capacity. The U-shaped-like risk curve only appears in the under-parameterized re... | i | c13f668fd6ed656b8429dbfa9bf4d628 |
In this regard a possible way out is to lower the seesaw scale (i.e., the values
of {{formula:5d2e3e60-4118-4bb0-89fa-d8d042224284}} ) by introducing more extra degrees of freedom, and the typical
examples of this kind include the inverse (or double) seesaw scenario
{{cite:7f8a0761835d52de96fa4aa1a34e4a9d1e3ac8fa}}, {{... | i | ca40d8d3b033d255d0e9a4b4f4df37cb |
To regularize the algorithm, one option is to use the 'shrinkage' estimator of the covariance matrix {{cite:678fef17e9c9d817346c634adc3c2fd965c20589}}. The coefficient {{formula:e2651068-065e-4b71-b2be-0f4ae1e83c59}} determines the degree to which we interpolate between the observed covariance matrix and a covariance ... | m | 40cdcdb165e9b6fa5c2aa95b1a3df645 |
Degradation modeling is also vitally important for deep learning-based SR approaches. Deep convolutional neural networks (CNN)-based SISR approaches usually achieve state-of-the-art (SOTA) results on standard benchmarks. Nevertheless, their performance is limited when applied to real-world images. The main reason is th... | m | a0a1e38a8061d8b635ae49f563d1d290 |
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