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{{formula:0129d02f-63cd-4ac4-9774-4893bedd0016}} is the dilogarithm function {{cite:6701adbb873a88466ef748d006c2f9960a93e25d}}, and {{formula:00cc28e3-a653-4de1-af1e-e872277a1f18}} is the principle branch of the Lambert {{formula:edfb6d89-60fb-4b87-b97f-d4113bb9ee78}} function {{cite:64bea5a6a980c31af52be98c4cb109c... | i | 2e727d87fa8885403d6df70cbf00a5b1 |
(8) The Einstein's equations are supposed to be valid in all reference frames {{cite:dc0685bc1e53f49c526e7fd942170f90a4594c42}}, {{cite:c03a041e73bf3ee325952cb5a79cc4bf79cca231}}, {{cite:3d33c1d4a93c2480767bc1ad25f3656fdb167c24}}. However, in our theory the generalized Einstein's equations (REF ) are valid only in some... | d | 05224d2745dffe4b98666f82c0ce85eb |
Relationship Retrieval (RR). This can be further divided into three sub-tasks.
(1) Predicate Classification (PredCls): the same as Predicate Det..
(2) Scene Graph Classification (SGCls) (Fig.REF (b)): its input is a ground true bounding box without labels.
(3) Scene Graph Detection (SGDet): detects scene graphs from s... | m | f99728e0195f71d3160159fb1977a563 |
where now the {{formula:f9aaf9c9-531a-42b2-a0fa-ee487c495235}} are locally determined for {{formula:1edcc726-1987-4367-9eb4-9965b4dd5229}} even and {{formula:15b4d6dc-3236-4c7b-a605-f5aaaa328628}} , {{formula:5c77d225-3198-4460-89ee-7cafbf9190de}} is locally determined and trace-free, the trace of {{formula:0353a297... | r | 0e3f6ee9362682b57a48b12f6337b83d |
Finally, CGNN {{cite:40c8c2445afe65c16693cb4db745e0d8c2b3e1ec}} represents the rather novel influence of deep learning methods.
We use the implementation provided by the authors, with itself uses Python with the Tensorflow {{cite:1ae5db3f3a0215c8edf7d8dd30736ece8b483f8f}} library.
The most critical hyper-parameter here... | r | 72e823f7c002f37c4f65b58196b1fd74 |
In addition to interesting applications such as the randomness amplification, interactive proofs and quantum games {{cite:a0d5177bbf40dd03b459469ea6e2e8d8ee10feeb}}, {{cite:01e622a41354cd243f349a33d43210de8de07477}}, {{cite:ca18427920ab465dfce8882dbf6c0583f0fe21f9}}, {{cite:afcae6b312b6f35f373fab71a88ba0709fd1e6e2}}, {... | d | abd1c4e6c4f0b61176244e576d43a34c |
Building on this analogy, the quantities described in Eq. REF and Eq. REF implicitly model an individual's activity space as a circle, and have been used in a variety of contexts {{cite:e6fb302e0246715552b9fe1cab367ebf9d897876}}, {{cite:939c2b1ecf165136203dc74085fa06dfc101b271}}, {{cite:c41d6dc230618047efef190b4706dd... | r | af001e0fc8047b3e989bf9205c4b06e6 |
We created a pipeline to make multi-band photometric measurements of all
objects detected in the optical and infrared imaging in the 13{{formula:d301f7b3-a079-447d-9955-1849eb7b8c16}} field.
First, a master catalogue of optical and infrared detections was created using
SExtractor {{cite:2a86d1ca42645b4810c7c026957d091... | m | d08292779cfbc362d47686b9499e7456 |
In terms of empirical performance, it has been reported that RR outperforms the full gradient descent method for large-scale instances of problem (REF ); see {{cite:662f1bde268ee7f59fec69f23e05ca949fc1d59d}} for more details. Due to such a superiority, RR is used in a vast variety of engineering fields. Most notably, R... | m | c7d76177e72bf380705f4917bf93d2fd |
In this paper, we study a deep neural network approximation for the energy and the underlying electronic fields in a unit cell of magnesium subjected to strain. We generate data by repeatedly solving the unit cell problem and use it to train a deep neural network. An important challenge is the representation of the ele... | i | 3372602acbc23a485b5209b476221ecf |
The predicted radio SZ has a steep scaling towards low frequencies (see Fig. REF ). As such, it could become an important foreground for standard 21cm fluctuation measurements. The signal is expected to spatially correlate with the standard Compton-{{formula:67949e48-a99f-4d92-bb54-effa2d4f0f78}} map and therefore can... | d | 02c09526bc1a785161503523e0e36689 |
Spin-pumping {{cite:66822dc504ee7b11edb6805bb4000d4cd3f09411}}, {{cite:354033cdff0a487851de8044b4026fb82c019de8}} is an effect where a spin current is injected from a ferromagnet with a precessing magnetization into a material in contact with the ferromagnet. Its reciprocal effect is spin-transfer torque {{cite:1e41d03... | i | b8ce5a9260129a5d5ba3afd5e8b1b14d |
After an ablation study to select parameters, we choose a few top performers to bench mark our algorithm. On the ECCV22-MIA {{cite:095a2bf1dc28f23e1c47f11e37f353a3bfc33467}} validation dataset, the benchmark results are listed in Table 2. In this table, the F1 scores are presented.
| r | 405057544350635a16d8a39931340661 |
Since {{formula:c208d490-b60e-4f4e-ac3f-8e0dae11a36d}} , {{formula:1273a2f2-7639-45e5-b1a7-a554b0c7f535}} is bounded from above and, hence, {{formula:95e54464-124b-4875-8b1b-bdd36a67a882}} . Applying {{cite:0d6f2f9fed396f9ad298f5ee45d19f93b379bab4}}, it now follows that
{{formula:c2f9ef57-4e41-40c2-9150-154e3d2d8056}}... | r | 0933e0ad11fb7cb30818e745187f13ea |
Statistical methods also can be roughly divided into two estimation paradigms, i.e., estimation by definition and correlation between visibility and feature respectively, and both of them are data-driven methods. For definition estimation, it is to estimate the farthest visible object in the scene. For example, Pomerle... | m | 87218201f8188d0685753f6b5ddf720b |
This section presents the experimental results concerning the DBNs and the proposed approaches, i.e., the A-DBN and the G-DBN, applied to the task of event recognition. All models follow the work of Ng et al. {{cite:fe093175a2ebdb304dc7a5f78873b9399aef6170}}, using 6 frames per video clip uniformly distributed over tim... | r | c1adcca858464fc00fcc55a4b62da804 |
Most of the existing methods learn representations in high dimensional vector spaces. Consequently, the curse of dimensionality {{cite:b441cfeb43e700c83eea091a2b2176750c71ad7b}} leads to the formation of hub nodes {{cite:4ebb18fb146eaca4cfccec240d3e1d2ac7632a7c}} that become nearest neighbours of many smaller degree no... | m | 7b317722f7733bc43c91be0e913b33cf |
Tables REF compares the validation errors of ResNet-50 using standalone and hybrid training strategies, respectively. The results are very coherent with the ones of AlexNet. For the standalone training protocol, Our proposed SVD-Padé method improves the ordinary SVD algorithm by 0.3 % in validation error and outperfor... | r | 245fd976e581acf74d9ca45f58398b4d |
Overlapped speech detection. Finding good and reproducible baselines for the overlapped speech detection task proved to be a difficult task. We thank Kunesova et al. {{cite:e716e6041e388e7de71a165efa56e1ce4c351f5f}} and Landini et al. {{cite:70b9a908088446f1d696e61349e49633efaffd41}} for sharing the output of their de... | r | aacf847cd78e9b808c00da28151fb1ad |
In Section 2,
we have seen that the propensity score estimation problem reduces to the density ratio estimation problem. Density ratio estimation (DRE), the problem of estimating the ratio of two density functions for two different populations, is a fundamental problem in machine learning {{cite:86f2bab8e92c557e6fc6422... | m | 9bf92aab7c040184438fbc4557c51d00 |
COCO object detection and segmentation.
In Table REF , we compare the performance of our approach to existing pre-training schemes by fine-tuning a Mask R-CNN FPN model. We followed the training settings in {{cite:ed7db9d7c131b864b3287f3c82cf0536bc279b13}}: the model is trained on the COCO train2017 subset and tested ... | r | e39a4ff8368df65ea5d5c9fa74a76a66 |
This result also has implications for optimization. There has been considerable interest recently in sharpness-aware optimizers (for example {{cite:e2831dfadaacc6f7b94335e918eb5f303f5e7fde}}). This result indicates that minimizing sharpness in the top direction is not possible and probably not desirable, while leaving ... | d | 189da752c1b2f20a908e3fa47b77626f |
The most direct way of observing the impact of the nuclear structure via this method is through comparing observables measured in collisions of species that are close in mass. Isobars, i.e., nuclides having the same mass number, are ideal candidates for such studies {{cite:b19f1ac62534e8e4a7a1e5c4f4828c3fbc5714d0}}, as... | m | 7ae07a4f3b469bf46b5694aad418ccb7 |
In the present contribution, we aim to assess in detail the full potential of the nudging approach for unsteady flow estimation in an aerodynamic context, based on URANS modelling and synthetic velocity data. The unsteady turbulent flow around a square cylinder at {{formula:f092967d-5eef-4b8a-8cc8-6dc8f6eeed46}} is ch... | i | ee36cd96ceea78b9b3bbf25e3b9bceac |
Although equilibrium shapes of membrane systems are relatively well understood {{cite:16abc01bdf9ca55f362fd263a4eca3c4b17ab9eb}}, {{cite:9a29b67dcc6ef2ab297f9f8cc9fd2d098f711b7b}}, {{cite:cf98372c3bfeeef6a0aac06ab706707975d227e4}}, {{cite:1e0ca69c851d2d7932a9ab0011921834747d40e6}}, {{cite:5eb709e5ebaad3d5fa2e6b7528d446... | d | c888efa7b2b376a969141e8d0eba2034 |
However, as is illustrated in Fig. REF , PSNR is not a good metric to assess the effect of hiding visual information. Fig. REF (b) has a lower PSNR than Fig. REF (c), while the visual information (e.g., the birds and the leaf) are more easily identified in Fig. REF (b) than in Fig. REF (c). To solve this problem, a fea... | m | 97c2cf87aea575fd73dbfc9bc2a6e6bd |
A recurrent or large transformer {{cite:8fd7cd2f3b20e47e35effd07d9412bd1560b9d11}}, {{cite:71661f39b686a43095de5788c10058717c48f34f}} network architecture may further increase the performance as the network would be able to infer the rules over a longer sequence of observations and eventually correct for mistakes done ... | d | 44640b0ec888ee1ddea6bd62192ed7ce |
Training with the adversarial loss, alone, usually introduces additional artifacts, and previous works often use MSE loss to induce the learning {{cite:8736b4706318b3f7b069e734ee52733aa091d831}}. However, as shown by {{cite:384267b86bf62597744c2c789f365b5695f93bda}}, MSE loss does not handle streak artifacts very well.... | m | 516fc0430c03ea68c91eec6007375251 |
The ConvLSTM cell-based neural networks used here are efficient in encoding {{formula:b7579a3e-895c-4638-8b00-d96d654f9b1f}} spatio-temporal information and representation of features. Equally importantly, FUVAI takes advantage of the attention mechanism followed by multi-scale features in each decoder block, and achi... | d | 2109b58a8043d5599b26f1f131ead7a8 |
In this section, we show the comparison of our method RAP and EOT {{cite:2f0bcbfea9698700a1e6ec3ecc8357bb9e17b709}}, VT {{cite:70b431edea6d26354f22bf8048026fc8c7dfff3d}}, EMI {{cite:adb2db914797b7123f3b385dbe616b4de11e9a8a}}, and Ghost Net {{cite:f1e81cbb51d6de043b774f3b0f00cf418c2cc98a}} attack methods.
| r | ec1c65eb48acb48ee7d5efb74c9a907c |
The propagating nonlinear pulses were found in an implicit form, and turned out to be close to Korteweg-de Vries (KdV) solitons {{cite:0832678666e6d796bbd640c16c16dc8b39904193}} in some asymptotic limit; both
numerical studies on the model proposed and experiments verified the theoretical predictions {{cite:1f546c3a8d3... | i | 453aec25469805e4f5182c64b54d24d1 |
Rather than relying on the difficult sparse outliers identification as done in {{cite:884b88b1b1e38c2d545860d8588a9c420a94af49}}, the main idea of this work comes from {{formula:a4ca7ca1-2d1c-437c-b2b7-0c2cc44d0af4}} -space random subsampling, which can eliminate sparse outliers in {{formula:89b51f48-5b73-42d8-b026-a52... | i | 01a5f6322cf7e70cd0d6b7e5590834c8 |
Let us consider now MWI. The main difference between this interpretation and the typicalistic formulation is that the latter assumes the position of the particle as the primitive ontology, i.e., it adds the sample space {{formula:e95f2d11-9f83-40cd-a097-0ca1f9c237d4}} to the mathematical formalism of the theory. On th... | d | 621fecd26e2ecc18a624a172655446cc |
BLE is Laplacian Eigenmaps (LE) {{cite:14c7850d817e4ab94e640b3858e33352a71f5252}} with the most informative view, i.e., one that achieves the best performance with LE.
BLLE is Locality Linear Embedding (LLE) {{cite:3dad87d0e79fec3f425dc1e94c5b83daba6b9a24}} with the most informative view, similar to BLE.
MSE {{cite:... | m | ce903fa66aece5880cbd7b3bf80713a2 |
Another interesting direction of future research is assessing the power of quantum processors {{cite:1f76bd756a31b98333a82a15f06ead6442e5547a}}, {{cite:547cf701e926b57185e8ca16c1ead7389bb8e8d8}}. It has been often pointed out that the number of qubits in a quantum processor is not an appropriate measure, because the pr... | d | e94d08189d09227c48d337e2d152f41c |
The resulting dataset contained a total of 4259 sequences of length up to 910 characters, with vocabulary of 21 amino acids (A, C, D, E, F, G, H, I, K, L, M, N, P, Q, R, S, T, V, W, X, Y). We use 60/20/20 ratio to create train/val/test split, resulting in 2548, 876 and 835 sequences respectively, maintaining the positi... | m | 524438524b84b0b640fa4efd8816bc2e |
The function {{formula:b8f68d2a-612a-4c92-b06c-83048f0f49ac}} is concave, positive, and satisfies {{formula:69f2b82f-a158-4a54-8e3a-a2945491e930}} .
Assume w.l.o.g. that {{formula:34075adc-cdc9-4721-92eb-be92dfcdbf4d}} . The proof for the case {{formula:fab0539c-4938-4f6f-8c30-22db01637643}}
was explained in {{cite:3... | r | 7693cdb00e869baa889e469e8c277cd2 |
(iv) We find that the proposed geometric alignment objective is beneficial even when the target sample size is limited or when the source model was obtained via robust training {{cite:b8f3ddb8fb38282e97d2cbfd9da752c14b4994f3}}.
| i | 3bd3cf09b81504465edf282d6412b63f |
The fake news classification is not limited to the linguistic analysis of documents. The studies analysing different kinds of attributes which may be of use in the same setting {{cite:f4b70daeeeadab8d4a501dfbddd485d6eb5b5be9}} are interesting. Amidst the typical methods that the study comprises, there are the analyses ... | m | 485f582b7c6f98c4fc8d2e4c0a989a84 |
A rigid body {{cite:4797bb41e2011c647c1851ed820ba5fb0b3ed481}}, {{cite:0e4fe96057098a3f5485987e83f45624fbc3b64d}}, {{cite:07b2a660f66e35004d52676f9d690ccd3a1bcd30}} that conducts Brownian motion can translate and rotate in space. Most interestingly, in scenarios where the particle is screwlike {{cite:f41efc01efe460077c... | i | eadf53a4eedddd5a541c40261492ba9f |
where it is assumed each {{formula:5165d49c-6d8c-4186-b8e1-9378ac7cac5a}} has some structural redundancies for example sparsity or low-rank. These methods have a subtle yet fundamental difference from CL, as in CL the structural assumptions which are exploited to form the CL sketch arise from the model or distribution... | m | c5d9463fab485d8f1a3c1d5a9af47f26 |
The simulation data presented in the following sections are also used in {{cite:b403083282d8e6d64ec9a46c14048a4bba9eb047}} and {{cite:c4e432d77004675df362f05d9007c305b60e0209}} (2015a). While {{cite:b403083282d8e6d64ec9a46c14048a4bba9eb047}} use the technique of Principal Component Analysis (PCA) in order to statistica... | m | 6d86e38a50dd949d19fcbdbe4b3c00ba |
This work is not free of limitations. In contrast to randomly exploring the search space of CNN architectures (e.g., through automated hyperparameter optimization), we decided to strategically analyse in two directions: model-centric and data-centric approaches. For the latter, we decided to try four different variatio... | d | edc23a0d020717fbcdecd5329d6586cf |
In contrast to the existing one-dimensional (1D) time-domain or frequency-domain modulation techniques, such as orthogonal frequency-division multiplexing (OFDM), OTFS is a two-dimensional (2D) modulation scheme, where the information symbols are carried over 2D localized pulses defined in the delay-Doppler (DD) domain... | i | e547f22ae33b6006f7a118090918dbb5 |
Tumor dynamics modeling is one of the most common model-informed drug development (MIDD) approaches in oncology {{cite:7509d302b6a3a5136fc5022a7aa4733d4d64f603}}, which could enable significant insights into the heterogeneity of inter-/intratumor and cancer evolution. Understanding the drug resistance evolution of tumo... | i | 04f7f1d5ec6d814e696a9156a234d968 |
Once it has been well established that a flux of high-energy neutrinos of cosmic origin exist {{cite:f5711156feb5aacba22c61aa5efd66ac763a85a9}}, the next step is to disentangle it and identify which are the sources. The most recent all-sky searches performed by ANTARES {{cite:2da7dbd26a933657561f3c0e031a2db6f4b7aa12}} ... | r | f9bdf2a0568225f9f6d52d8c63ddbd8f |
We evaluate following baselines to compare the performance of our proposed model, BloomNet: VDCNN {{cite:ebde1d7445dc97c48e8748956bf752ca56caf9e1}}, LSTM {{cite:536cddc9052abe605d9ed42b44142e8180991a72}}, HAN{{cite:4cd8b7b2262e01f14a487b34931754a0a52b4d3b}}, CNN{{cite:18d710942d10b635a6c73d419caadfef885482b8}}, RCNN {{... | r | cd447e74b9b6dfb054a4b016c004de51 |
Size and {{formula:d684f977-eb0c-4dd3-b100-58cda9f8f9f3}} -perfectness of the output: As stated earlier, size of a matching plays a crucial role in real-world scenarios.
In {{cite:2bcc4405d80231f83579ac3f800afcfd8ea0ae0d}} the authors mention that the administrators of the Scottish Foundation Allocation Scheme were int... | r | 71c33567e61b6b85534b35e4b743850a |
For each {{formula:efb0c367-dbfa-45be-b27c-9409147bb6c9}} , NMF is solved for a series of random initial guesses (typically, 1,000 or more) for {{formula:cf2537dc-7bad-4f37-b275-7204dbf1b837}} and {{formula:e27cca75-5fd4-4e10-a429-cef775acec4a}} matrices.
The least value of {{formula:b37e1ab7-53a5-4f68-bc9c-ce658df68... | m | 864bfef29634fa681f59b1c5e4763ec1 |
In this paper, we have shown how to classify the SMEFT operators based on CP symmetry by means of the Hilbert series techniques.
We successfully reproduced the same enumerations as those by {{cite:4acd581d8baed25426df954c427f822447dd12f6}}, {{cite:fcbba872ce16d3599f5930c8e2d7d75bc70b986b}} for dimension-six operators a... | d | 40c432e1e46bb5d3f9af9a78a9d0b1ed |
Non-rigid structures and various shape make it more challenging for monocular 3D detection to accurately detect “Pedestrian” and “Cyclist”. Most previous methods {{cite:6bfae597b3331c2ade4e5f11cd8e5f6a602e706e}}, {{cite:07bf9198cf6c1160ec33931e35d059f504e9c25c}}, {{cite:55eaed45a7bff1b4487e6a761c58ee47cf07faed}} fail t... | r | eccc8c4aeb2b74b60e93e8af17721d1d |
Good side effects. Deep classifiers would inevitably misclassify some inputs when tested on natural corruption data{{cite:203c6744700c8b6fa597dda0590940cbb68f6e76}}. Although no intentional perturbations are exerted on these samples, our MixDefense would still identify these misclassified samples as AEs. This is becaus... | d | 1f0020d78aa69faef543cf630373835d |
it can be used, with adaptive procedures, to reduce the number of degrees of freedom where not needed because in certain parts of the domain the error is already under control;
it can be used to generate a hierarchy of (nested) coarser grids starting from a fine mesh of a complex physical domain of interest, in order... | i | 62ad27f2b4a9bf12be4bbd5d1b2b288d |
We present a new problem setting: user-guided modification of the geometric rules encoded in a pre-trained generative model. To edit a model, we ask the users to move a handful of control points as warping examples. Exisiting GAN inversion {{cite:da6632296427b5840157724806360a5bd96812e9}} and few-shot GAN adaptation {{... | i | 87519e5a7278db8c336a16f9e16b1eef |
First of all,
We show that the pattern of linear correlation of accuracy claimed by {{cite:492fb2fa634d0fcadd07a26ff901b23e1a8ad306}} does not necessarily occur even when the correlation patterns we observed, such as diminishing returns, are probit transformed.
The results of the probit transform of the scatter plots s... | r | ea9ff7c3655bac27e11e489e4e5c3e5e |
Second, a widely used initialization for gradient descent is to randomly and independently draw the entries of the initial gradient descent estimate from a Gaussian distribution, cf. Xavier initialization in deep neural networks {{cite:8c3515534b4605ccdc52b9e3decab32bcfdaa53e}}. Compared to the initializations we consi... | d | 1953013172a411a70f8e8e11148d3790 |
Recently, StyleGAN architectures {{cite:646db17238341109b56b66a5e0dc3b309aba5f5b}}, {{cite:cb58cbecd364ab3d2235f979b1bc75cc1fb38d8b}}, {{cite:92ec9894fd19285a8ef3957a3415f4aa7c2efc3d}} and their variants have been verified effective on various facial generative tasks, including face attributes editing {{cite:4cb1243392... | i | 58530ba358fd67b7c7a3bb73bf8d7475 |
In this section we present the analysis of the
data-vector {{formula:307f0540-3db6-437e-99ab-0df35b1ba9f2}} ,
where all statistics are in redshift space
and include projection and coordinate-distortion effects. This set-up thus fully matches an analysis of a realistic
galaxy survey such as BOSS {{cite:b555aff5b09233ce7... | r | f2acdcb058d7ac194f81545f56716709 |
Recent progress made it possible to fabricate 2D structures composed of almost any layers on top of each other {{cite:31b1fd2fde1418be688aad2c3c2bb26f2f371243}}, {{cite:4c4a808030515e3bf57371f25d78e55ad7baef83}}, {{cite:0faa4d4192072de18d7ac7d96d7fd83f5f4e445c}}. These structures display a higher variety of properties ... | i | b38ec9ee639c1ea4c9300bea9e805da4 |
Network Architecture: The used network for pixel-wise segmentation is oriented on the multi-slice variant of the 3D U-Net architecture of {{cite:81dd0887274a498c3cded2453c8ec79fd3d59b3e}} proposed by {{cite:519494b33fc74b603b2ff708707ff79beb880230}}. The network is modified in the way that a 3D input volume with eight ... | m | b41061c7ba7cc3e9f94a805fdd5e2005 |
In this paper, we formulate view synthesis as rendering a sparsely observed light field.
The 4D light field {{cite:4fce872e9ef26da434fd212af7742464466ca4b0}}, which measures the radiance along rays in empty space, is often used for view synthesis {{cite:4fce872e9ef26da434fd212af7742464466ca4b0}}, {{cite:0739f32aad302d0... | i | ff6b2035f9530ba0559ae3d9e969294f |
{{cite:3fea1d8448f267dc3575fc06c2635518f14e343a}} convincingly showed that SN 2010lp displayed a nebular spectrum closely resembling that of SN 1991bg about 200 days after maximum. The main difference was the absence of the narrow [Fe iii] lines. These were replaced by two narrow (full width at half maximum {{formula:5... | r | fa43a5c4d436812ee0d029c914a29df1 |
While our search only ever considers solutions that lie directly on the constraint boundary, other approaches {{cite:1adedea44089524f2f56695404f0352d6577900f}}, {{cite:835b12041a8c424de7f1093d102690d87aea2560}}, {{cite:acf857444a6f7fe815fdbadee45d4b21065f15f1}} typically have to evaluate many candidates for which the c... | d | 930dc765ad60d04c7cf6e968a137f775 |
A critical assumption of several commonly used statistical tests is that every data point within a dataset is independent. In other words, every data point would have to be equally different from every other data point for any two randomly selected data points. “Pseudoreplication” refers to studies in which individual ... | d | 0c4f2ab75983e9a6598b1b30ec001f99 |
For other two-stage action localization methods (, CBR {{cite:e4a913a34f3616c302eb950d6e47fcc6ec3f9ddd}}, R-C3D {{cite:dd147844b69ea2fd48d4d2061e10f6364eb63c55}}) that do not rely on the two-stream pipeline such as SSN, we only insert one GCM into them.
Specifically, GCM takes the original proposal features {{formula:0... | m | 0d138bafc9c69f5ce9697da48af3098c |
where {{formula:f80f33a8-796e-458a-b458-0416fd9eb0b1}} is the encoder network and {{formula:268a101d-0365-466e-8c2e-6067366a5bf5}} is the projection network. Rather than directly using the output of {{formula:520dd2dd-9d66-47cb-aff6-b4f76237b19a}} for downstream tasks, we follow previous works {{cite:96e391f7fbe6f3... | m | 23f24e690c1a926c1b9aa65edb64b3e7 |
Our pose estimation method is based on a previous method {{cite:4285f9155c0f3bad870bcf2ee97fac5d7280f98d}}. The method is trained on the BlenderProc {{cite:3f180a32b9925686b44f168a7f0df664bf4be326}} dataset created for the BOP challenge {{cite:c96d611ccdf1c4193a6229809399efde58e705e2}}. This method use domain randomiza... | m | 660b705bf26276041d9da925363d306f |
Following the idea of `entanglement wedge reconstruction' {{cite:cdd4dae09f9fe65a2bae11f0ef53a7d834a2233f}}, we can interpret the phase transition of {{formula:8aa27ed5-e34f-4c98-826c-c7376e19db70}} in terms of bulk reconstruction from the CFT. As a function of {{formula:f75f37bb-f012-4cd6-ad30-9682abbe3433}} the ent... | d | 6e93883f5807e2aa5a815cff006f8517 |
The standard approach to reinforcement learning typically assumes
that the environment is a fully-observable Markov Decision Process
(MDP) {{cite:a9e090d7c02ef549729ad715006757e5ec6e4d68}}. Many state-of-the-art applications of reinforcement
learning to large state-action spaces are achieved by parametrizing
the policy... | i | e25fe9a15d7b3f6bf81d0d3a4073f15e |
Lyapunov function method {{cite:ad8e52d17c088f0bb21c21b0ed6ef80b56d8f63a}} is the main tool for stability analysis of nonlinear systems. The following theorem presentst a sufficient condition for hyperexponential stability.
| m | 7fa731b1b5f22ca12c8d01a0e4a97c6e |
Deep learning has achieved remarkable success in diverse applications {{cite:eb7ab32d2732fd4f9de0fb446e8dfa0134fb8ec0}}, {{cite:e45726f6d5e714f8cb4e012aaf9a7e7871aa14dd}} including computer vision and natural language processing, but its use in real-world engineering fields with small data is limited. For the TSR probl... | i | 214d2d86d30bc5f404a2826ff3d7ad69 |
Training attempts to minimize the cost function {{formula:dbcb558f-f274-4ee8-9809-20f2f81c0772}} with respect to the network weights {{formula:51fc5911-402b-4049-be51-c42750305475}} . This form of training is often called “end-to-end”; that is, we do not train the network {{formula:35ae4137-efb4-4d2c-b574-55e63f064105... | m | 74c7adaeb95bbfcd7df346849f3e78fe |
The calculations were performed using ab initio density functional theory (DFT) in conjunction with
projector augmented wave (PAW) potentials {{cite:675aa4b866c11caf29498c7fea23999c8915e621}} and Perdew-Burke Ernzerted (PBE) generalized
gradient approximation (GGA) to the electronic exchange and correlation {{cite:8b84... | m | b971e8685f06c17e88ca218752526a04 |
Graded-Feature Multilabel-Learning Network (GMNet) {{cite:b4160759a8f655002f8431c923d076e848544672}} includes two encoders for feature extraction and three grading decoding stages to restore original resolution. The proposed model employed ResNet-50 {{cite:6be384319e8f472cbac48567f158661f5df2fac7}} as the backbone of t... | m | 406a4a129dfde4fe8412f96616274a1e |
(Part REF )
We show that 2 implies 1.
By Lemma , {{formula:4a03926e-7efb-4b0a-922a-cb82740628bb}} uniformly on {{formula:d6a81b2a-0f59-4322-9408-fa7e32c828c9}} .
Consequently, {{formula:a5fd8f08-d309-4464-9357-5f41c04e34dc}} is continuous, as the uniform limit of continuous functions {{cite:b645ecac2ed25c4884f1bde40d... | r | 55300454d061dcfd034e3735289f923b |
In this paper we pursue this line of research and study the fine-grained and parameterized complexities of {{formula:3299077c-0181-407c-ac4d-4342ea1f2922}} -COLORING problems and, more generally, of #BINARY-CSP{{formula:5f7dc757-7ac7-430f-96b4-6137a6e3e647}} with a particular focus on the parameter twin-width, recentl... | i | 04d4720feacca8bcf8082fccb02c4978 |
Finally, we acknowledge the promising results that recent large-scale language models have produced in terms of generalization and their (acquired) ability for few-shot learning {{cite:726ddd873de1ecb4edf4f827285b98270c68be71}}, {{cite:7f6d534f80c5e3d6858231ad549c874e66183309}}.
They are evidence for the possibility th... | d | 9259500c963480756aacca49aa3d39e5 |
The solar atmosphere displays a wide variety of spicules with different temperatures and velocities. It has been suggested that type II spicules are a major source of coronal mass and energy {{cite:9df503edea96ab350fc3362b46f4baf45e9506b1}}, {{cite:ded10dd3b8bf7d6554809f41f4ac8660b7bc7296}}, {{cite:0a5471c73dbd20fcbf6f... | d | 6ea1b16e6bc130e3b3db249bf37a9daa |
We use the Markov chainMonte Carlo (MCMC) method to constrain the parameters in equation(REF ). EMCEE {{cite:75de1d158250743a66dab5151aa26672826135b1}} python package is used. In order to execute the MCMC process, we need to provide the prior values first. In {{cite:7a34f159ff04302407e90e79285f20b00ba2e1c5}}, the best ... | m | 836f5be984d9bcfe84a1b54e2cdbae77 |
We present a comparison of the results of TeliNet, VGGNet-16 and the benchmark approaches. In the training set there are 153681 covid slices and 181991 non-covid slices. The validation set contains 35016 covid slices and 40517 non-covid slices.
Since the data sets are not balanced we use an F1 `macro' score metric to m... | r | ae2481421c93af6cfd7457d3abaac3a4 |
In Section , we give a short introduction to the concept of {{formula:f2caed32-205d-4a49-a395-0717419b4251}} -convergence. This includes convergence results for minima and minimizers of a sequence of functionals, which are presented in {{cite:da9fd046d0497c67c07acd6320274c1000427c17}} and {{cite:6a6718c6e8ba83f78f06b01... | r | 219d174ae8d1a2c68479c431c27cbb63 |
Furthermore, other properties of the materials can be calculated by the dielectric function, including the optical conductivity, absorption coefficient, energy-loss spectrum and optical reflectivity. They are given as follows {{cite:a470574cfcefddca91bdd7507a3269c139e86cc4}}, {{cite:0b4745f6207204d9beceadbe478b74cefb02... | m | dd548de8ae48790927c89981fea85f5c |
Quarkonium production in hadronic collisions is an ideal tool to access the gluon content of the nucleon {{cite:c11e080b258cd9321ddee0ab3faa7a1e79af1c44}}.
Collinear gluon parton distributions (PDFs), depending only on the longitudinal fraction of the nucleon momentum carried by the gluon, have already been extensively... | i | 15495d288a1e3a8e59fa8bb6a9c7b5c8 |
For more challenging cross-view cases,
{{formula:0b31c8a1-359c-4c22-90e2-33ddfc871a6f}} covers more dramatic view-changing factors than that within {{formula:3320cea4-8628-4238-9f60-6b09c4e75a1f}} ,
i.e., {{formula:f2c999a6-2b39-42fe-b67c-4cd75da00b1b}} ,
intuitively meaning that it is hard for GaitSSB to maintain its... | d | b3789a591e1f0dacb4667f36bfe6ff06 |
In this section, we perform extensive experiments with ASWL on VGG-16 {{cite:a96a34cdfb9aa13311ae807bce25187e68b3bc88}}, ResNet50 {{cite:6554ddf31a0f32528d4361ade999b2bf501661ec}}, and MobileNetV2 {{cite:3c312780b980839691e8e9488698d07681c31434}}. For VGG-16 and ResNet50, we simply replace the traditional convolutional... | r | 5b53826055ad0629fd831f0478f70584 |
In this paper, we investigate the Casimir-Polder interaction between an atom in an excited state and a Chern insulator {{cite:7872c036aec9042df11ed2110681e4be4c0cd5ad}}, {{cite:0a55f7a4c50fd759092bc6ec81f864a34fe20939}}, {{cite:80a296ea04aeb41bfc8002733655043b1281cf6d}}, accounting for the full frequency dispersion of ... | i | e6fa74fbdeedc7e98aa985ea44d59447 |
We solve numerically Eqs. (REF ) by split-operator technique {{cite:a51a20bfd848235837c65a68295c393221b6802c}} for trajectories of an atomic white dwarf corresponding to closed eccentric orbits. We consider the Bose-Fermi droplet consisted of {{formula:020aeb01-d294-42b5-ac9a-31d1db44b515}} Cs bosonic and {{formula:6c4... | r | cec39b1c6819b255d56f598aa8687f07 |
We find the factorization (REF ) appealing as it shows that solution of the IFPP for arbitrary distributions, and in multi dimensions, is reduced to two standard and well-studied problems, i.e., constructing the Rosenblatt transformation (or CDF in one dimension) and designing a uniform map. It is therefore surprising,... | d | ea2e18e3daea37b1686a54ae5c0afe0e |
The recipe to restore the gauge invariance is given by the theory of polarization in crystalline solids {{cite:a379cd39ae902520e386db34cb68d3deb8ab4806}}, {{cite:2dc84a53a1ab8b081b0ef9443554f79cd3f4ecc4}}.
We first take the exponent from Eq. (REF ),
and then use {{formula:f5055835-b41e-451f-94b7-aa58c4221675}} ,
{{form... | d | 18b2c957d1a726c764dbe4653db2ac35 |
Along with the experimental progress on manipulating the coupling among multipartite quantum systems, the tunable anisotropic triangular structure can be realized in various physical platforms, such as trapped ions {{cite:105feeada23ffc3013855e8f832de8d7fad32f38}}, cold atoms {{cite:d09010e877ab455006830875007bd8d28f7a... | d | 6010493dedac5d40c355c6570d7b7786 |
Strassen's Theorem {{cite:ad045c665ba5ac5103a3e0bca074ab82e80320de}} characterising the existence of a probability measure on a product measurable space,
having fixed marginals and prescribed support, has enjoyed an illustrious history, both leading to new fruitful
research directions and
having significant application... | i | 23d3e7a5670408fee0569030325c92e2 |
Recent developments in deep learning can be applied to modeling of image-to-image translation problems. Generative Adversarial Network (GAN) is a class of deep learning algorithms that is used for generative modeling {{cite:b9a42102d14e57fc6e5f691a58571c50438e0028}}. GANs formulate the generative modeling problem as ze... | i | da7eb5e0d6d9f3fba79a8f1a730b858d |
The spatial search algorithm by continuous-time quantum walks was introduced by Childs and Goldstone {{cite:1e0e3401a28f9c6df4792a36ba93fd3317e29f30}} after the successful definition of discrete-time spatial search on hypercubes {{cite:e67428443b353c7befaaf9ae3b1e6e326ef132a9}}. In the continuous-time case, the time ev... | i | baa91641ff1bf12db9e8c1d26ac5f3ed |
Returning to the motivations for the TCC discussed iin Section II, we see that they are based on considering the evolution of fluctuations at the level of an effective field theory. Thus, a point of view that one could take is that the TCC does not necessarily imply that inflationary models with an energy scale which e... | d | 7d7687a05a51ab98b3712bd36f1a792e |
There is some correspondence of the dynamics of the model discussed in this paper and the quenched Kauffman NK model {{cite:94d9dc187cd72334bc6970ac05b3e6eaf96c0d60}}, {{cite:5b4dc9f59e47de0e45fa7790fd2f5719a39558bf}} of time evolution of networks. As we argued in {{cite:c921cf2d3500bf0658bd2f3c21e0846306346ff5}}, here... | d | 1e34f6f9a06f6a09522f99ad60674df9 |
Given the lack of a significant population of low luminosity star-forming dwarf galaxies in the M101 Group, we can place rough limits on the slope of the faint end of the star-forming luminosity function of galaxies in the group. A steep faint end slope would predict a high dwarf-to-giant ratio; the lack of these dwarf... | d | abd0c2cbc201808614fb79225db14c9f |
Several noisy-reverberant conditions are used to evaluate the proposed techniques in terms of speech intelligibility and quality.
In order to compose the noisy-reverberant environment, two real reverberation rooms (LASP2 and Stairway) and two non-stationary acoustic noises (Babble and Cafeteria) are considered in the e... | d | ce40a0068902f7803c931b4838f8fae7 |
is nonempty and bounded, where {{formula:bee2b481-2a0c-4b5e-b3f0-5999c54c6c97}} denotes the set of differentiable points of {{formula:224ec208-c3a7-4dca-98c0-cef9855477b9}} .
The set {{formula:a5b210af-4334-42df-9000-eb5cbb0e409b}} is called the B-subdifferential of {{formula:6a7e3b93-3e06-4947-bd9b-fb3b8ef3ccab}} i... | m | 7aa7fbf42a98e884b7742bcf86ce595b |
The equality {{formula:7f0d2a10-5f9e-4852-a473-2bbc2a033a4f}} was first proved
in {{cite:6e5b2d8f88e32777e5e89b27db7da4c18497beee}}. The equality {{formula:5b07baba-e033-4f98-b7f4-56573622440b}} is
{{cite:73d098bc58df8f85ba0a56189fb7e7af839bb5db}}.
| r | ca4d12f9f7c0b86bef3d5d96fea34159 |
Since the state controllabilty, a concept decribing whethere the state variables and space of the dynamical systems are controlled or not by the input variables, is put forward by R. Kalman, et al, in 1960's {{cite:9f48c5d378b2632c53f404c88c5de6784de679aa}}, the further studies on describing quantitatively the control ... | i | c45bba9488b49a7c1045dba8b9e74ba0 |
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