text stringlengths 54 548k | label stringclasses 4
values | id_ stringlengths 32 32 |
|---|---|---|
The univariate stationary time series models, namely, the autoregressive models (AR), moving average models (MA) and the general autoregressive moving average models (ARMA) are popular tools in the statistical analysis of univariate time series data (see {{cite:8ed566a8c7b3a1a6960b19bf6ce1bd0d1a5a69e8}}-{{cite:3343b28d... | i | a3b01d5f470ed9aa68b7d95ab725d83e |
Table REF presents the inference time of GRCNN-110 and several popular networks with similar depth listed in Table REF on the CIFAR-10 test set (tested on a single GeForce GTX TITAN X GPU with PyTorch {{cite:1a423ec84c1be9cb850c29f92d08b6492ef79e03}}). The models were run with batch size 64 and the total time on the ... | m | a56d399ee66ffabcb5abf78d8864de0c |
Merge-based sorting networks: Classical results, such as by Batcher {{cite:7317cce59717593e62e8d67ef6775f8d6ab7b467}}, Cole {{cite:3f369f14e8c745fd63ac2424b5848374d1a853fd}} and AKS {{cite:7335d762ef7317bd7c66e873f0cb541507f7f443}} use sorting networks and optimize the depth of the network. Our paper deals with large s... | d | e6ec0243817d298f090675558ea81ab5 |
Evaluation metrics. We follow two evaluation metric protocols to compare the performance of different active learning methods. {{formula:8fff6f8c-8f7e-48f7-af29-f6b3a3c830ef}} ) Linear classification. We train a linear classifier on the top of the frozen backbone features (without back-propagation in the backbone weigh... | r | d4afbe6c6f5d05cd145ed668b22bf272 |
Secondly, the phonon thermal conductivity is {{formula:11fad7ef-0fa7-4df9-92ed-891865c383d8}} , due to phonon-glasson scattering. The thermal conductivity was shown experimentally to be completely dominated by phonons{{cite:9634ca2111b4b379d78e91143b3513d3d73d9b62}} for {{formula:0477b222-428c-4947-8e78-562dec9050f0}} ... | r | eeb049bc8465060af0d94e9b4b3d8ccb |
While machine learning-based approaches yield stronger prediction than conventional statistical models, (e.g. LR), they are less transparent, which can lead to lack of trust from clinicians. To address this drawback, various methods have been developed to explain the decisions of "black-box systems" {{cite:16165d59c3b6... | d | c6fcbbdd30642a76dd1d7dc3e8c0e4b4 |
Next, we will build an indicator function for the sampling method based on operator {{formula:4552b521-7d31-4661-92e7-ce18793c5f07}} instead of {{formula:c4f9319e-77a0-412d-8fda-0e09d9a3bb96}} . Since {{formula:6d88c361-7a4a-433d-8d58-87ff6c26d0c9}} is known one can compute {{formula:632569eb-9fca-4d8b-8d87-610fc4d34... | m | e42cf6616cca86215e1cafcae6a185aa |
In the XX century, the problems of independence attracted sufficient large attention. Great mathematicians K. Gödel and P. Cohen proved very hard theorems about the independence of the axiom of choice and continuum hypothesis from other axioms of set theory ({{cite:5aa6f6b6d0d7458c2f700ea98deb02ae33f1eb4f}}, {{cite:7e5... | i | 6b0d382af2a0bc67c55bde4e44ba8b9e |
This is a representation of the potential, which, with a negligible correction, coincides with the corresponding expansion in {{formula:2c931eb8-d17d-40a2-a2a3-aabeee19690c}} of the potential {{formula:ce5db3cd-2f0f-4abd-8b1b-aa967b189e0b}} for n=2 found in the paper{{cite:9357c68b0c8bb8a4790ca033fe372249b66073e7}} w... | d | 32cfa2b39b8d86da6feb6d43d10eb40d |
Not all the feature weighting methods are based on conditional probabilities, though. Now we will describe
some methods based on information theory {{cite:7d10b5dcc8e52165095594df7b5a22c75efd3504}}, {{cite:276c174fc3d9bae6cb53c4d9a5d21d18802e145a}}.
| m | 917e58da7ea274461159e18a6a8a4baf |
A second possibility might be realization of composite hopping in the context of ultracold atoms in an optical lattice. Quantum simulation is an exciting area of research{{cite:5d611b019f9938c3da5a64f919ae0e3ea4e6aa8c}}, and given the many unusual physical properties displayed by our model such as negative compressibil... | d | 353feddd88fac6840899916412d4d43f |
1. Stereo Disparity Estimation for Supervision.
As reported by Chen et al. {{cite:4c4970893753ef180bd9327814c2c0073e401d4f}}, disparity supervision substantially improves the detection performance. Without such disparity supervision, the network may not be guided to completely utilize the geometric potential of binocul... | m | 6277ba05c7fb9da657b5cc60b64c92d9 |
From the point of view of machine learning, improvements to the current model can be approached from several angles. First, the network design can be modified to allow for the quantification of uncertainty. In this way, its output would also include an estimate of the error associated with its prediction. This could be... | d | 88b3c065d44f7d35d222c3622870c6bd |
The proposed estimators {{formula:ad7ca92c-9b34-421c-b429-aecf5e8f4eb3}} are related to the hard singular value thresholding estimators (HSVT), which were previously studied in matrix denoising {{cite:78c28a882f9ffc4cab0cf353b39ea32a4c308d73}}, {{cite:b3a49ca3882f685ec2671a1bce0074c206819afd}} and matrix completion {{... | m | e984e46abd8edb1e181c5adc83fea3d4 |
There is recent news from PTA groups on their search for a stochastic GW background.
The NANOGrav collaboration found Bayesian evidence for a `common-spectrum stochastic process'
in its 12.5-yr PTA dataset; and more recently the EPTA collaboration also report the detection of a
common red noise signal, when analyzing a... | d | 05cd87c0367ed8a79d34ffca14336fd1 |
In this work, we incorporate two automated methods–dynamic time warping (DTW) with spectral clustering {{cite:7525e77b68167102c0a8dbf2b38e2a2cf420bcc3}}, {{cite:ba2986fc043d72897df885210976dfc673c57262}}, {{cite:e99cf34816fe9bab96e63500bfaec65e9e3a70ed}} and Granger causality tests {{cite:eb25e770cc8939854e20de9a0cac28... | m | 7ce1e492218943486fac879a6a1f597a |
Despite the growing interest and use in both research and the industry communities, currently
the creators of benchmarks for Data Management Solutions (DMS) {{cite:874bf773cac7d03ca84a25e87d695e2e9eb27c75}}, {{cite:b30a2ea0abaefaa26fde52f5da1832c5f6fd608a}} do not offer a common
suite for performing cross-domain benchm... | i | 4f32475eceb2c1a7c39d5b3146568fec |
TotalText. The proposed FANet achieves the SOTA performance on TotalText. If compared with the methods without pre-training, the proposed FANet outperforms the previous SOTA method PAN by 1.3% (84.8% {{formula:5c73314b-5995-4914-bd3e-017d5b267f1f}} 83.5%) in F-measure. If compared with the algorithm with pre-training,... | m | 49355b014ed7ccd0bc3218f5c8864a3c |
We study the effects of chemical potential, related to a baryon reservoir, and of a magnetic field on the chaotic behaviour of a strongly coupled {{formula:a7c173e1-7211-421a-a834-d829933e84d3}} pair in a finite temperature background {{cite:dbb2b59494478a9e1ca53788d990b5733112aad8}}, {{cite:4b141d1d90dc2d0cd9b774c90c... | i | 8c8767595bbe5191ea2c75a7374ecf54 |
We first evaluate DAP on the transfer segmentation task from GTAv to Cityscapes. The comparison against recent approaches are shown in Tab REF . To ensure reliability, we run DACS (the baseline) and DAP three times and report the average accuracy. DAP achieves a mean IOU of {{formula:86337d73-c24e-4231-8f3e-c3a51e248ba... | r | 5a87619605e0040bed49b69f63b26b34 |
We, therefore, propose MemStream, which uses a denoising autoencoder {{cite:a78af7db732e2c1b23485a14b52e75548a79581f}} to extract features, and a memory module to learn the dynamically changing trend, thereby avoiding the over-generalization of autoencoders (i.e. the problem of autoencoders reconstructing anomalous sam... | i | 41f0de4c6cfa311f39d4d0cc60c55f1b |
We preprocess all of our corpora to eliminate a list of stopwords specific to newspaper publishingEx) “op-ed”, “sportsmonday”, “business review”. We identify this list through iteratively training LR and examining top coefficients.
We train four text classifiers: Logistic Regression with BOW thresholds (min_df=.01, max... | r | 0483ff57155fd24c84970a3032b686f4 |
Methods based on unsupervised pre-training
and supervised fine-tuning for NLP
have achieved phenomenal successes in the last two years.
Most of the proposed methods in the literature
choose language modeling or its variant as the pre-training task.
After the pre-training stage,
ELMo {{cite:ce79b5235c8a542cc272b9871a89... | i | bce092e778d911a6d92599fd4c694acb |
Previous work has resolved this problem by using a spectral regularisation scheme, in combination with a residual network structure, motivated by the following argument.
If we parameterise our feature mapping as {{formula:c185ce11-c11e-4d58-9526-d12482923927}} , and then apply spectral regularisation {{cite:83db235fe3... | i | 4016cad8b6039e93bfc6cc637f50e492 |
Grasping ability is one of the most important abilities of modern intelligent robots, especially for industrial robots, which will bring great power to society{{cite:9436da2575b6b1e027273e10715889bdd0474559}}.
As the most common basic action of robots in work, robotic autonomous grasping has great application prospects... | i | a9b7bd7684073a2acd995e11414b5df7 |
Local polynomial regression.
Perhaps the most similar problem to our setup is the rich set of work on local polynomial regression, which has been around for a long time since the pioneering works of {{cite:ffcb2e34d56340da18045c9e7e0bb06fa8ddc1c3}}, {{cite:4affbc4a5e0a14329f09e1255a5d2be43ba65b9f}}.
This line of work... | d | 62a1682355d03aa3277c664ddd457af4 |
({{cite:2be94424e209cbdc71a5e2f8f68db03494debb2c}}). From the definition,
{{formula:56daee87-7868-4f4a-a8dc-c89b3702b008}}
| r | 2815b663f7a51d7efab5f6e53578f6d2 |
3DPW {{cite:e621aefb2656fe8a9510b99c0d07a126f882762e}} was chosen as the dataset to augment since it has a reasonable size, provides ground truth body models, and there are state-of-the-art DL HPE systems with open source code that used it for training and testing.
| m | d4c15dafc469c266c77466910eed8420 |
The cumulative energy flux in the focal plane can be treated as a single-channel image, see Fig. REF . Neural networks are one of the most versatile methods for analyzing data with the same type of continuous features. For image analysis, the best results at the moment are shown by convolutional neural networks {{cite:... | m | 7c8d1b453020cfca14912192b5d48e44 |
We found that although the CFD results qualitatively agree with in-vivo clinical measurements, they tend to have substantially larger deviations in the distribution of the hemodynamic variables compared to PINN results.
Conversely, the PINN approach trained on the clinical data, despite the physics-deficiencies of the ... | d | fe7531d5d6749b6b8b834278bb1e5f99 |
To validate the registration performance of the proposed framework, a set of typical multi-source remote sensing images are carefully selected, and six effective registration algorithms are used for comparison, including SIFT {{cite:38d3e88f5066d19a400e9da9cbc97f30b0fd9c14}}, SAR-SIFT {{cite:c74e4cdb04120fd5762d1120e77... | r | 3544ec614d6173ae7d7b8084d9f12351 |
The sample complexity bound presented in (REF ) reveals that the increase is exponential in {{formula:1c870f7c-33b7-4b05-8ea9-13261e3e79b7}} , this rate is clearly not desired and it turns out that it can be avoided using different learning rates, {{formula:9bb1fd35-3ff0-43b8-b72e-e4870569b6b6}} , rather than using lin... | d | 10a7e62045b6e7ce4fe2aa8cff422f35 |
Another way to solve Eq.(REF ) is based on reparameterization tricks to reduce the variance of gradients {{cite:2cc730e3f9a98918f3d572c878cac3ec018f6b61}}, {{cite:847e70ab08d49eaf667107ffe7c49eda5ef27b75}}. Specifically, we set the entries of output {{formula:effccb7a-d0f0-4e93-bb65-72d8f19eda99}} as the parameters of... | m | e4f09d3fb31006de7e8d2304bdc30875 |
An interesting observation from Table REF is that anomaly detection based methods such as IForest and LOF achieved their best performance on {{formula:7ea1a8ae-d7c9-4d28-bb8c-cd62c95fbe97}} . A possible reason for this is that both of these methods rely on distance metrics. LOF computes Euclidean distances, and IFores... | d | 5296fe6e3ab3c30c6ce4f9bb4452a50e |
More complex event-based algorithms have also been developed, which have not demonstrated real-time performance, but show promising results. In {{cite:926295fe2330d02ab466de09d98b52fa35aabd6f}} a phase-based optical flow method is discussed, which is developed for high-frequency textures. The algorithm is compared to o... | m | e3dd387c56f76da489a66241d5227136 |
The inverse scattering transform method is an effective tool to
study the integrable nonlinear equation with sufficient decay boundary condition or non-zero boundary condition. Besides, some novel and interesting properties for solutions can be given by the inverse scattering transform. There are so many works involvin... | i | dd9fb1d869024de9d6dc26c6ddf3b1a7 |
After connecting orbits to QNMs and considering the QNM expansion of the heavy-light four-point correlator we noted that there is a natural expansion in which QNMs look like energy eigenstates or primary operators. First, we take the large {{formula:e2222a61-6a45-48b0-96f4-6b83766878d1}} limit. Second, we consider the... | d | b18d0e1bbef083499eabe3dcdea02792 |
It is possible to define the eigenscheme of a tensor which is not partially symmetric, as in {{cite:c58286be2f267608432002181ca35fd8c9541a64}} or in {{cite:0451cd3618591e46bc35035434031d7569977a11}}. However, with the choice of a basis described in Remark REF , it is apparent from the definition that for every tensor {... | r | cd66bc32a31b322c7418ff3f5583d69e |
{{cite:775d42ab0c289f95e683b50828d539eca5ca8817}} extensively studied gender bias in word embeddings and proposed two debiasing strategies – `hard debias' and `soft debias'. Hard debias algorithm first determines the direction which captures the gender information in the word embedding space using the difference vector... | m | a8648268e6c2ecb9f34c8cfdd10b6041 |
With the explosive growth of available data and computing resources, deep neural networks, i.e., deep learning {{cite:53aaf6c92356278d4779131bc84dfb0675d71bf9}}, are applied in many areas including image recognition, video surveillance, natural language processing, medical diagnostics, bioinformatics, financial data an... | i | b57aa8c34ba22fae6757a9aff9c268cd |
In quantum mechanics, one of the fundamental problems is to characterize the quantum and classical features of physical system of interest. One generic characteristic of the quantum system is the presence of non-commutative observables in the operator algebra of the system—the set of all operators forming a vector spac... | i | 58414f1392da36e40fc65fa6ab4469d6 |
Since the year of 2012, deep learning has been developing rapidly and achieving remarkable results in various fields. Inspired by this, researchers have brought the deep learning methods in solving the problem of HSI classification, and gained
impressing performance. Traditional HSI classification methods primarily foc... | i | 812803895d4adc3662b8714353abc1e8 |
Envisioned by the promising prospects, both empirical and theoretical studies have been carried out to understand the foundation of QAOAs and improve their performance. One critical line of research is unveiling the connection between adiabatic quantum computation {{cite:734f2ad8445aed1307c5bbe3d43f94cfb45fec83}}, {{ci... | i | 7248fad93aa8fbdec5fbc3696b5ad2eb |
Advent of quantum information theory initiates the second quantum revolution where non-classical aspects of the theory are well utilized to design novel information protocols. While quantum random number generator and quantum communication models are already available at the commercial level {{cite:3d80e5f9d8afd0a76036... | d | dd4dc7cfd09a0368e4c94b561a2563f3 |
The Connected Component (CC) based methods {{cite:c105157a7c0488948447bc5eaeecb3597be2e29e}}, {{cite:09b3acff0911620fb91c60d7c5ec50e83161594e}}, {{cite:0f7404be4808147a17ce6e0aaa700ccaad6973f7}}, {{cite:174288f14cf6ecd1f9d048e70493688bbef1b6e9}} generally link or group the detected individual text parts or characters i... | m | 90c405d37688a2cf0d1d3014a5e230b2 |
Quantization-Aware Training Quantization-aware training {{cite:0614a961ad197bb3e852f4cfdb023b547b4ca302}}, {{cite:577e5fa933edfc4e211572454e40fbcf65f5d7fe}}, {{cite:a3502f4467855262aca59b0c7d38cab452cc8a0b}}, {{cite:64d6dcc4c609409de84813adeb4e2cb87f7dec83}} generally focuses on minimizing the gaps between the quantize... | m | 0af5987caab24c18236150861f3c1a32 |
Second-order methods are known to have superior performance compared to their first-order counterparts both in theory and practice, especially, when the problem at hand is highly nonlinear and/or ill-conditionednonlinearity and/or ill-conditioning. However, such methods often have very high computational cost per itera... | m | 4fb82e651b2fb03112865207498fa731 |
The classical data structure for approximate membership is the Bloom filter {{cite:f0117fa4e4d3e307a98cba58fa080840103afa38}}. It may be the best-known probabilistic data structure. A Bloom filter is akin to a set data structure in that we can add keys, and check whether a given key is present in the set. There is a sm... | i | 9ac663654cf80eecc7132e3df3016a49 |
At the start of time-frame of length {{formula:24b468c0-1207-4101-8070-a72644059f79}} , user device generates {{formula:40858582-2709-4ab4-98ed-0b2d33040ad7}} Kbits of data per unit of time, where {{formula:09f3c4a0-4818-4629-a69a-cb2bbe5dfd6c}} is distributed uniformly between 40 Kbits and 50 Kbits. If the device wa... | r | 54e0f74ae442b4aba2a31a01c5a5add7 |
It can be observed that {{formula:f6cc6105-1ecb-4e7b-844e-7aab245927d7}} surpasses MatchDG {{cite:26b1ca793136c8d2914bb293dce34a02d87de0fa}},
a quite state-of-the-art (SOTA) causality-based method that aims at
learning domain-invariant representation, by about 5.0% and 1.3%
in Art-Painting and Sketch on PACS respectiv... | r | b3cac95eb157dcf5adb3e099b9ec95d9 |
We use the 3D U-Net model for brain tumor segmentation proposed by Isensee et al. {{cite:ef4f16b44d61d0ada53bdb0cad87836be6183156}}. This is the highest ranking and simple model in BraTS 2017. Like the U-Net {{cite:0a0fd2adaa3e6e7c05b4bf374a99f8e769ba46c8}}, this model {{cite:ef4f16b44d61d0ada53bdb0cad87836be6183156}} ... | m | b243dfff2a882551f4a5a385921d4b09 |
The physical interpretations of 1 and 3 are quite intuitive.
In the case of 1, the physical interpretation is immediately obvious, since this feature satisfies the typical definition of a splashing drop, namely, the ejection of secondary droplets from the main body of the impacting drop {{cite:bf4294f2d21987c1964465ca6... | d | a956db1556906adf9d624000d00d743a |
Previous studies have shown that natural image priors such as patch recurrence property are useful for degradation modeling. In {{cite:01e2c5698e0b1fcc33404d1c11d800dc1391ca72}}, Michaeli et al. point out that the Point Spread Function (PSF) is not the optimal blur kernel, and they further propose to obtain the princip... | m | 944147b1619501d0816a50aee84c861e |
Gravitational waves (GWs) {{cite:f137c0348df29fd8c19fd5e4fbe4924a13273023}}, {{cite:05d1569bfbdad72838414d7715bfcdbdca35bce3}} from compact binary mergers are often referred to as “standard sirens”, in analogy with the term “standard candles” coined for SNIa, thus underlining their role for cosmology. From the GW signa... | i | c52136612c2c4cde8cbf725b6a6f14aa |
Recently, there has been success in learning multiagent communication frameworks to solve partially observable tasks. In particular, these successes have been achieved using neural network architectures in conjunction with a reinforcement learning framework. Examples of recent work that has been successful in multiagen... | i | 16cd59c565f87e9f41ff2ec3087817d5 |
While powerful, the resolvent method makes heavy use of the matrix structure and independence between different entries; while {{formula:918593d2-5ef5-4db4-ae12-a622ae18f7ff}} is associated with a matrix process, the correlation structure between entries is complicated and renders this approach intractable. Instead, t... | m | b32c1296355b7adbc6e7b2a16ea04fae |
Following {{cite:f632a5dd25a8279c733ca1d96ae81b89514133c1}}, we benchmark five mitigation methods: oversampling, corpus constraints (RBA) {{cite:391361a3ec7a4543ceb7f3930fd535fa293d74c6}}, adversarial de-biasing (Adv) {{cite:0870676de9d9c59c5d5c3a780fa7cea04468a80b}}, domain independent training (DomInd) {{cite:f632a5d... | m | a85a5a88a1f5881ed591b535c2c702c2 |
i) Computing the Cost Volume Using Multi-Scale Census Transform.
Most current stereo matching methods use DNN-based features to form the 4D cost volume. In terms of matching, DNNs can increase the uniqueness of the feature for each pixel, but they also suffer from the inherent adversarial vulnerability. In contrast, tr... | m | 3349ebbc8d776dcc437a0061cb636fd3 |
On the other hand, singularity analysis is an alternative way to study the
integrability of nonlinear differential equations The main requirement for
the singularity analysis is the existence of movable singularities in the
differential equation. Singularity analysis is associated with the French
school led by Painlevé... | i | e9cefd753b348d4bc7b0ab395485e240 |
For {{formula:c4c8fc64-5c65-41ed-a657-994a96d1ad3b}} we denote by {{formula:cfa51b1b-635a-43c6-8600-027ae903cc87}} the standard map on {{formula:a84f8927-4af7-40d5-b13a-3750f3019dee}} . For every {{formula:c417a780-a940-41ba-beba-837b7bb04117}} the map {{formula:6c2b9a38-bc61-48da-b3f8-2b3a41245bce}} preserves the ... | r | 4a54b249a56342bc08a01cfb71909686 |
in Review of Particle Physics {{cite:9c47e4f76e0fe71784eaa6778d50746e5bb7d9bd}}, one has {{formula:c10f5fc2-13f1-4745-b9ac-0a15cad9e142}} .
The PQCD predicted branching ratios provide
{{formula:889daffd-f544-405c-b297-695b89fb884d}}
| r | e2ca015cbad5c9ede999f21eb89c1dd9 |
The second overhead, and since more memory is involved, is memory access time and energy. Increasing memory footprint may force the DNN accelerator architecture to use a hierarchical memory structure to balance the memory footprint and the platform cost. For example, external DRAM memory is two orders of magnitude chea... | d | 7afb83026aacba0c40048f2eb2df65d6 |
Similarly, for a given input, local representations obtained from the model are compared with the prototypes to determine which prototypes are present in the image. Based on the activations of prototypes, the model recognizes the image. Hence, it becomes important to generate similar activations of prototypes, for a gi... | i | 1d56558d4fce59ba5c2ee8e56b5510f1 |
In upcoming work we propose to analyse the cosmological constant within the framework of causal fermion systems {{cite:b5072640cbfb8ee8a17f6fd24bc0a82dc32f3862}}, along the lines of the already existing mechanism for baryogenesis {{cite:7c564b0d0444c95f8bda7f4c469e68fbf45969f5}}. Our approach shares the geometrical poi... | d | 076be888fb479f2b077778c90f790fb1 |
In this context it is worth pointing out that during the last four decades explicit kink solutions have been obtained in a number of lower order field theory models like {{formula:23938f52-be4e-4c08-a872-5fbe264ce52c}} , {{formula:b71a5004-3eb3-4778-8c94-047e8b004284}} {{cite:9400ef55460691a2110e716f74e0e51b7de4679a}}... | i | 76a8ac97f235e876aea04bb687bb6f97 |
It is well-known that (see e.g. {{cite:df36956d9a8153bc0ac5bfeac0aab01d1bfedf50}}, {{cite:da0efb43daa9ec9732fefe1ab2f4388e1e670e72}} and {{cite:97d6233c38810cedf9920d3f5f6a488184f383df}}) Vilenkin systems do not form bases in the Lebesgue space {{formula:69392e94-3c8f-4a33-b907-61af1e34c115}} Moreover, there exists a ... | i | 2db65536303706a52a7aea7c02dbd3b5 |
On the other hand, 6-DOF pose is defined as a transformation on a template model. Pose estimators typically rely on the geometric matching between the observation (image, point cloud) and the template, where the matching is used either directly or as ground-truth for network training. Thus, 6-DOF pose with geometric te... | d | 5a79a48ff57a66bf88766ff3e06cf6d8 |
Comparison with Baselines. We first compare our approaches with several representative CNN-based methods including I3D {{cite:b216403480dbb8529051bafb5260f1854a687d80}}, TSM {{cite:d602532c3fa48a8c51436f50c6928c9056fec712}} and TAM {{cite:3e8997108d5e6f415b72eced70f0e489201ff8e8}}. We also include two other models base... | r | b1169df0c36e5f3dbc63a641648a650a |
The DP constraints are defined on any neighboring datasets that differ in data from one individual. These constraints are local, relative and dataset-independent contributing to the success of DP as a privacy preserving framework. However, an undesirable byproduct has been that many DP implementations are agnostic to t... | i | 94a2850f8b1ef8e250835d2095b1f8f6 |
Early studies that applied the Hawkes model in the field of finance include {{cite:153b3671c6059ba5dbd8e47fc3c5c34d2c077ca6}}, {{cite:f5c6c4a6435eded9b90fec4afa635d6c9ec6228e}}, and {{cite:36df7929f4eb1fe939a3cd62ca7432116cd425e7}}.
The Hawkes point process or similar intensity-based models have been studied in terms o... | i | 5fb0272c3aaa5af66433633c762d526a |
Using {{formula:1b3660ad-c01a-4451-b816-ccf73ada0dd2}} ,
we are enabled to relate the two sorts of parameters.
The solutions in Eqs. (REF , REF ) demonstrate that
the two {{formula:4bb8a5d2-21bf-4fe3-9c99-0adc80e1ab4c}} approaches can be equivalent.
Consequently, the {{formula:2cb2bd05-b9b2-45cc-8caa-1c3bf34c8df3}} a... | d | 558dd5168a51d42515cfd3b4796b2c9c |
Our lifetime for the 3{{formula:8b5dc774-7d63-4ceb-8f78-378532f9f725}} 4{{formula:62c30ef4-59cf-41f3-8a3f-f01ac0342757}} {{formula:ccf9b098-7157-4e7f-8c62-b385583be2a8}} level of P IV is {{formula:6e1e8696-b6e9-4d2a-a147-2b6e4e22042d}} ns, a value that agrees with the theoretical prediction of {{cite:0d7cc6dca423536... | r | 26dc484093f2b81abe01a2ad3329c4e9 |
This section describes the conventional incremental TTS method {{cite:878023b66ddb83bbd88040420d3b9f82908f9cb5}} that uses GPT2 {{cite:5153bf84801dd16f014532164f0bbbe53a50386b}} and Tacotron2 {{cite:849297d7b2b79f265d93b8b66c3da2b5c89c170d}}'s encoder-decoder architecture, as shown on the left side of Fig. REF .
Let {... | m | 89c4a462b2f1dc3070ad0bcfdbdba7b4 |
Nevertheless, the global features used in joint embedding methods might not be able to conduct fine-level matching between words and local regions of an image/video. In many cases, only few words in the query sentence are relevant with some small local regions in the video/video. Therefore, to conduct local matching mo... | i | 9b87c883db69d6334434c7e716435a14 |
The quantitative results of our approach are reported in Table REF . The competing SOTA approach in deep learning based visual odometry is DeepVO {{cite:74bc163e9a508b8a5ee478e76859d07394ebe712}} while VISO2-M {{cite:929671952c1264206aef6a4a03f8427fe8372910}}, a SOTA feature-based algorithm, is chosen as the classical ... | r | 5bdf837a1332122e80fc3f41e14edb4f |
For computational reasons, simple models are usually preferred in the MPC scheme. Hence, the MPC model often does not have the structure required to correctly capture the real system dynamics and stochasticity. As a result, while MPC can deliver a reasonable approximation of the optimal policy, it is usually suboptimal... | i | 6136c27795f08e8edfa39e770f3c33ed |
Given the highly non-Gaussian nature of the process of reionization {{cite:5b88b0a1db1d4dd278a71efa57eb8453dd96a155}}, {{cite:321a31a842426c7e360e8bb342b2e1f034f41ec5}}, {{cite:63e1d47381e18694e9b09353f0e9dc49a51c570d}}, {{cite:28edee0a50568326ee21ad616e9cff4a82660547}}, one would need to employ statistical tools which... | i | ec6ef9d4d8510bf7210081021e6fb53e |
Let us remark that explicit computations for the eta invariant of the odd signature operator {{formula:5ac89d3f-6856-4b8a-8182-0cb6b137f01f}} for hyperbolic three-manifolds have been implemented in Snap {{cite:3fc1853335329bfabf2733e42e5b8ff6562a6926}}, and are based on a Dehn filling approach {{cite:9a2c9516c51ea7bdd... | i | 546da996535f2d81b89da25f5c7019bd |
On the other hand, it has become increasingly evident that neural networks fall short in many aspects of human-level generalization, including those that symbolic approaches exhibit by design.
For example, it is difficult for neural language models to generalize syntactic rules such as verb tenses or embedded clauses i... | m | 10202f2d74d869de035912e061835a87 |
In this method, different data sources are used with the same algorithm, and the respective results are combined according to a chosen combination metric. In a variety of other machine learning applications, such approach leads to improved results {{cite:c153c2ab2944c705ba6421be833a9d2f521a6982}}. Fig. REF illustrates... | m | b0a2095428685c31ac2041bdc9534538 |
In experiments which continue the study of burst-like growth effects within the 0.1 – 0.2K range we have noticed a curious feature {{cite:5433b0508b23a5d8a4e7d2668d5c287e04428879}}. As the crystal stops to grow, the mobility of crystalline facets remains very high {{cite:09d249a96985173d9eddfa7e1b8bb0bb9eafeb4a}}. The ... | i | ae4f133b3d6131a4753459c9aade2685 |
The logarithmic scoring scale for P-values goes back to Fisher, who initially suggested it as a method of ranking success in card guessing games {{cite:1dffb31acd093433fbf4bc1406e30909317ef0b8}}. For global testing, Fisher suggested the statistics {{cite:1263e37f6fdcf5a244320b06bdc7d7584bc040e7}}
{{formula:a251f4e6-9f8... | i | 529be54781efb8c81a40f8624a61c23b |
DL is currently one of the mainstream methods in ML {{cite:680d091bb0d2d76edabc3e0d8f90939e79ade777}}, {{cite:9b9c48e5dd4529b3e785c61390960bb5a9aae6ae}}and handles ML tasks with high accuracy. DL is based on neural network technology. Neural networks are inspired by the biological neural networks of animal brains and c... | m | 0fef0369b9cf3e1a2ff7aa017bab2569 |
The Kac normalization ensures the intensivity of the energy density in the {{formula:31d09ff2-8f14-4125-9b1a-62d3c7d999b5}} regime. The static and dynamical behavior of this model is strictly governed by the interaction strength {{formula:f5110237-7c72-4269-900f-00b54157080e}} . At {{formula:150fe63f-fd00-4843-b6cf-85... | m | 20686ba15fb035ac95490c1e252ea539 |
In the second experiment, the effectiveness of the local motion planner is verified. First, in order to demonstrate the superiority of the proposed planner (Planner A), we compare it with the planner proposed by Alonso{{cite:baa6931cf60d7eb570eb2894daf81b54507ac212}} (Planner B) in the simulation environment. The size ... | r | 35c8f73faf3f1d02b05e230b3396f8bb |
There are two minor drawbacks in our experimental setup that rule out the quantitative comparison of the measured intensity with the model. First, the combined response of the speaker and microphone has a frequency dependence leading to a broad peak centered close to 5.5 kHz frequency. This can clearly be seen from the... | r | 29b31b24e1feeef78d7cd0be303fea2a |
UC Merced Land Use Classification Dataset:
Table REF shows a quantitative comparison of our method with the baseline for the UC Merced Land Use Classification Dataset {{cite:e90b335cb1ce1aa000ce25fa0e31aee8a5b2513f}}, {{cite:873d41fbb908a5109f61b290b63dc13a9cdb2fa6}}.
We compare the performance of entropy and margin s... | r | b0db98cdaedae95c1c6a9749f4c71c06 |
Hence, to overcome the second source of non-i.i.d. updates, we take the standard
approach by requiring the clients to share the same initialization before the
training phase starts. Note that there is a line of
works {{cite:dcfc5c65b4b65bff5f29b9b4457bc0ff010ca619}}, {{cite:9ac3eb38176a61de00457df1ab820e7fae49d2f8}}, {... | d | 24b1f511c5c40c2afc158ecb3ae67b79 |
In these ten inclination bins, we calculate the mean magnitudes of the galaxies applying weights found using importance sampling (Appendix ). The calculated means of bins two up to nine (avoiding possible detection biases in the first and last bins affecting the results) are compared to the model value at the mean incl... | m | 9834c4aef5c4528766a48a95f4f97b72 |
Model Agnostic Counterfactual Compounds with STONED (MACCS) {{cite:df9b8c955e3f32323a23d35739476e7360addbe2}} works in the molecular domain. The method takes in input a molecular graph represented as SELFIES (SELF-referencIng Embedded Strings) {{cite:f61c53ec1a281e62812ef2f837e846e35d9e2c72}}. The approach employed for... | m | 0c122f5a3ffbbe4dbdebb04f8f88b226 |
Figure REF (right), taken from {{cite:754d9fa53c24049d337fca2272b89a5af0a54972}}, shows the impact of changing the ratio of electromagnetic to hadronic particles, {{formula:5b5388bd-d60f-4c93-afd6-50b8bbd9931c}} in the observables {{formula:e3db3c86-1a99-46c8-9352-91366c8d2f9b}} and {{formula:a30f1833-cc6a-42bb-818b... | d | d835df8892372cdea9dfbf46548d6360 |
In checkpoint averaging, the final model is obtained by averaging over the most recent or best performing checkpoint. Checkpoint averaging is commonly associated with Transformers {{cite:53dae22e9b364197c91b5987b5561436e7019bd9}}. {{cite:0cd9c4cf00ca2db956d61900d3495d05efc22ad9}} argues that averaging all the checkpoin... | d | 879ddd6725289968e65cdaa6ccb39cb3 |
The parabolic Littlewood-Paley inequality (REF ) was first proved by Krylov ({{cite:ca0c07cb742fba749bdc350cda2586d522646cda}}, {{cite:c74d4808fd62fda57907dfa187edb889604d8b37}}) for the case {{formula:8be2000b-eecc-4e6f-9f4e-718cdd0ce7bc}} with {{formula:c2bef1b6-a030-443a-b9f4-e9678b9df3f4}} depending only on {{for... | i | 938dbff04dd32c5f60b2c6f0b8dcf2be |
Since GAN training heavily depends on network architectures, for fair comparison we only list comparable results using the same network architectures.
For unconditional generation task, we present our evaluations of FID scores on the three datasets averaged over 5 random runs in Table REF . We compare with methods tha... | r | 735068fc487a6eb532e61cde118edba5 |
For multi-coil data processing, one could choose to simply apply the PRoM algorithm with {{formula:502ad2bc-5a68-4e5b-97ee-84740247058c}} times the number of congruence equations, where {{formula:b8145089-c719-4bac-ba19-e1e214a2372e}} denotes the number of coils. However, we find that first combining the coils is not... | d | 6618fec441af519017fa90c9ac5ea400 |
As discussed before, NSs are the final stage of the collapse of massive stars. During the dynamical process of collapse of these stars, nuclear processes occur, such as electron capture, which make the stellar matter richer in neutrons, in such a proportion that the proton fraction of the star is close to {{formula:438... | r | 10a6e504f7a58a1475173d7a925c047e |
In July 2012 the ATLAS {{cite:54d9c9f23a0f238c847b683f7a4eafc7c29d959c}} and CMS {{cite:ed8aea69212029e8b982192276983d173ca9c7bc}}
experiments at the LHC announced the discovery of a new particle
consistent with the long-sought Higgs boson {{cite:d31455b6914dd3f0b10926600335857c86f9da98}}, {{cite:771fef4901b02af9713608... | i | 21eccd67554e34b962e877b1393a6786 |
Here, we briefly review the standard Nyström Approximation (Nys){{cite:3895366300626607dedb4da928c2002ed6066599}}. For the kernel matrix {{formula:407a2627-18d8-4aa2-b654-1c0e1f16c0bc}} , we first randomly select its {{formula:f7602a60-c525-4884-86da-e70e86e9468f}} columns uniformly without replacement and denote the ... | m | 2ae70644f4ec9a41e87cf8e7eed3ea4f |
The sweeping success of self-attention mechanisms shifted the focus of our community from Convolutional Neural Networks {{cite:df319d9e4a8f10100ff86faea21d8e305a445085}}, {{cite:79fe97baf9c1252a4ef8d66d2686e4db288c720b}}, {{cite:2e091469f37a9eb4de2fae41070e55bd3eafdb30}}, {{cite:95aafdbb446845afa199c73f49f7e8955f1fff26... | i | d472b704799e8289740009f8ea1374fe |
The existence of equilibrium states for {{formula:dcf423cf-bb5a-47e1-83a2-1f9c916977f7}} depends not only on the potential map, but also on the dynamics of {{formula:fe5ac2ac-bdd6-4331-ac40-493301a46004}} . And, as {{formula:d94d131b-9366-4ce7-8a81-c3e970a65b67}} is an Anosov diffeomorphism, the ergodic properties of... | r | 8e23bdebbd26e5b187c39bcdf09f0fb2 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.