作者: antenna 時(shí)間: 2025-3-21 23:04 作者: 漫步 時(shí)間: 2025-3-22 02:29 作者: 謙虛的人 時(shí)間: 2025-3-22 08:25
Multi-source Manifold Outlier Detection effectively identified in the affine subspace which is learned through affine combination of shared representations from different sources in the feature-homogeneous space. Comprehensive empirical investigations are presented that confirm the promise of our proposed framework.作者: insipid 時(shí)間: 2025-3-22 11:29
A Fast ,NN-Based Approach for Time Sensitive Anomaly Detection over Data Streamsthe number of their Nearest Neighbors as time progresses. We use an .-approximation scheme to implement the model of sliding window to compute Nearest Neighbors on the fly. We conduct widely experiments to examine our approach for time sensitive anomaly detection using three real-world data sets. Th作者: HAVOC 時(shí)間: 2025-3-22 15:02
Lung Nodule Diagnosis via Deep Learning and Swarm Intelligencelassify cancerous pulmonary nodules successfully in the tomography scans of the Lung Image Database Consortium and Image Database Resource Initiative (LIDC-IDRI). The proposed approach, which consists of training Convolutional Neural Networks using swarm intelligence techniques, proved to be more ef作者: HAVOC 時(shí)間: 2025-3-22 17:02 作者: Feckless 時(shí)間: 2025-3-22 22:53
2D-Convolution Based Feature Fusion for Cross-Modal Correlation Learninge learning. Specifically, we preliminarily construct a cross-modal feature matrix to fuse the original visual and textural features. Then the 2D-convolutional networks are proposed to reason about inner-group relationships among features across modalities, resulting in fine-grained text-image repres作者: Forsake 時(shí)間: 2025-3-23 03:39 作者: Brittle 時(shí)間: 2025-3-23 07:57 作者: 周興旺 時(shí)間: 2025-3-23 09:52 作者: 冒煙 時(shí)間: 2025-3-23 15:35
Mention Recommendation with Context-Aware Probabilistic Matrix Factorizationa real-world dataset from Weibo, the empirically study demonstrates the effectiveness of discovered mention contextual factors. We also observe that topic relevance and mention affinity play a much significant role in the mention recommendation task. The results demonstrate our proposed method outpe作者: 門(mén)窗的側(cè)柱 時(shí)間: 2025-3-23 19:37
Nilanjan Ghosh,Sayanangshu Modakich acts like an encryption. Furthermore, we propose to utilize supervised adversarial training method to train a robust steganalyzer, which is utilized to discriminate whether an image contains secret information. Extensive experiments demonstrate the effectiveness of the proposed method on publicl作者: Audiometry 時(shí)間: 2025-3-24 02:17 作者: Congestion 時(shí)間: 2025-3-24 04:20
Isela Martínez Fuentes,Rocío García Martínezthe number of their Nearest Neighbors as time progresses. We use an .-approximation scheme to implement the model of sliding window to compute Nearest Neighbors on the fly. We conduct widely experiments to examine our approach for time sensitive anomaly detection using three real-world data sets. Th作者: 訓(xùn)誡 時(shí)間: 2025-3-24 09:08 作者: visual-cortex 時(shí)間: 2025-3-24 14:02 作者: 消音器 時(shí)間: 2025-3-24 15:14 作者: Wordlist 時(shí)間: 2025-3-24 19:22
Evgeny V. Konyshev,Anna K. Lutoshkina efficiently for multi-class classification. DunDi can not only build and train a new customized model but also support the incorporation of the available pre-trained neural network models to take full advantage of their capabilities. The results show that DunDi is able to defend 94.39% and 88.91% o作者: Frequency-Range 時(shí)間: 2025-3-25 01:24
https://doi.org/10.1007/978-981-15-9554-7y comparing the results for a function and pattern extrapolation task with those obtained using the nonlinear support vector machine (SVM) and a standard neural network (standard NN). Convergence behavior of stochastic gradient descent is discussed and the feasibility of the approach is demonstrated作者: 嘴唇可修剪 時(shí)間: 2025-3-25 06:10
Benjamin E. Jakob,Christopher Stehr the analysis up?to ., still being in average . . than the most accurate related work. This improvement is essential to enable outlier detection in many real-world applications for which the existing methods lead to unexpected results or unfeasible runtime requirements. Finally, we studied two real 作者: 托運(yùn) 時(shí)間: 2025-3-25 09:03 作者: 惡臭 時(shí)間: 2025-3-25 14:18
Jo?o M. F. Rodrigues,Pedro J. S. Cardoso,Peter M.A作者: 字謎游戲 時(shí)間: 2025-3-25 19:53
Ananya Ghosh Dastidar,Kajleen Kaur of the trapped-ions technology. We derive theoretical lower bounds for the number of quantum gates required to implement any quantum algorithm. Then we present numerical experiments with random quantum operators where we compute the optimal parameters of the circuits and we illustrate the correctne作者: promote 時(shí)間: 2025-3-25 23:47 作者: HAUNT 時(shí)間: 2025-3-26 04:08 作者: orthopedist 時(shí)間: 2025-3-26 07:03
Sustainable Development Insights from Indiahe emergence of more and more multi-source data in many real-world scenarios, the task of outlier detection becomes even more challenging as traditional mono-source outlier detection techniques can no longer be suitable for multi-source heterogeneous data. In this paper, a general framework based th作者: 乞丐 時(shí)間: 2025-3-26 08:59 作者: 他去就結(jié)束 時(shí)間: 2025-3-26 14:18
Gary Kass,Ben Shaw,Fred Stewardt. We show how a theoretical model identifies the distribution properties of the distinct .-grams and singletons appearing in large . and how this knowledge contributes to understanding the performance of an .-gram cache system used for extraction of relevant terms. We show how this approach allowed作者: 乞討 時(shí)間: 2025-3-26 18:26
The Housing Gap—Sydney, Australiaetected. When properly identified in its early stages, the chances of survival of the patient increase significantly. However, this detection is a hard problem, since it depends only on visual inspection of tomography images. Computer aided diagnosis methods can improve a great deal the detection an作者: inundate 時(shí)間: 2025-3-26 21:14 作者: Traumatic-Grief 時(shí)間: 2025-3-27 03:56 作者: 罵人有污點(diǎn) 時(shí)間: 2025-3-27 06:36
Evgeny V. Konyshev,Anna K. Lutoshkinaty. The predominant challenge is to alleviate the “heterogeneous gap” between different modalities. For text-image retrieval, the typical solution is to project text features and image features into a common semantic space and measure the cross-modal similarity. However, semantically relevant data f作者: FACT 時(shí)間: 2025-3-27 11:20 作者: hereditary 時(shí)間: 2025-3-27 16:21
Business Analytics and Sustainability, can improve treatment and significantly decrease associated healthcare cost, which reveals an urgent need for the development of ASD screening. However, the data used for ASD screening is heterogenous and multi-source, resulting in existing screening tools for ASD screening are expensive, time-inte作者: defenses 時(shí)間: 2025-3-27 20:31
https://doi.org/10.1007/978-981-15-9554-7of deep-learning strategies. Artificial neural networks are built from elementary units that generate a piecewise, often almost linear approximation of the function or pattern. To improve the extrapolation of nonlinear functions and patterns beyond the training domain, we propose to augment the fund作者: 無(wú)動(dòng)于衷 時(shí)間: 2025-3-27 22:26
Benjamin E. Jakob,Christopher Stehr real application. With that in mind, this paper describes an empirical study performed on . using 8 algorithms from the state-of-the-art and 8 datasets that refer to a variety of real-world tasks of high impact, like spotting cyberattacks, clinical pathologies and abnormalities in nature. We presen作者: 流動(dòng)才波動(dòng) 時(shí)間: 2025-3-28 05:08 作者: Addictive 時(shí)間: 2025-3-28 07:07
https://doi.org/10.1007/978-3-030-46119-5g the shape of atomic nuclei. The current method involves fitting each sample in the dataset to a given parameterized model function. However, this procedure is computationally expensive due to the nature of the nonlinear curve fitting problem. Since data is skewed towards non-unique signatures, we 作者: Systemic 時(shí)間: 2025-3-28 13:58
https://doi.org/10.1007/978-3-030-46119-5the world, especially the urban areas where people are crowd and active, into regions is very crucial. In this paper, we propose a novel method called Restricted Spatial-Temporal DBSCAN (RST-DBSCAN). The key idea is to partition busy urban areas based on spatial-temporal information. Arbitrary and s作者: GRUEL 時(shí)間: 2025-3-28 14:58 作者: 一小塊 時(shí)間: 2025-3-28 20:27
Computational Science – ICCS 2019978-3-030-22741-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 歌唱隊(duì) 時(shí)間: 2025-3-28 23:48 作者: infringe 時(shí)間: 2025-3-29 03:35 作者: Blazon 時(shí)間: 2025-3-29 10:46
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/233083.jpg作者: Dappled 時(shí)間: 2025-3-29 12:22 作者: guzzle 時(shí)間: 2025-3-29 17:28
Application of Continuous Time Quantum Walks to Image Segmentationrom its classical counterpart?[.], presents and compares two versions of the solution regarding calculation of pixel-segment association: the version using limiting distribution of the walk and the version using last step distribution. The obtained results vary in terms of accuracy and possibilities作者: 警告 時(shí)間: 2025-3-29 23:14
Synchronized Detection and Recovery of Steganographic Messages with Adversarial Learningng to learn a good steganographic algorithm. To handle the problem of embedding secret messages into the specific medium, we design a novel adversarial module to learn the steganographic algorithm, and simultaneously train three modules called generator, discriminator and steganalyzer. Different fro作者: Leaven 時(shí)間: 2025-3-30 03:04 作者: Extort 時(shí)間: 2025-3-30 05:20
A Fast ,NN-Based Approach for Time Sensitive Anomaly Detection over Data Streamsy used criteria for determining outliers is based on the number of their neighboring elements, which are referred to as Nearest Neighbors (NN). Existing .NN-based Anomaly Detection (.NN-AD) algorithms cannot detect streaming outliers, which present time sensitive abnormal behavior characteristics in作者: 秘密會(huì)議 時(shí)間: 2025-3-30 08:24
-gram Cache Performance in Statistical Extraction of Relevant Terms in Large t. We show how a theoretical model identifies the distribution properties of the distinct .-grams and singletons appearing in large . and how this knowledge contributes to understanding the performance of an .-gram cache system used for extraction of relevant terms. We show how this approach allowed作者: 織布機(jī) 時(shí)間: 2025-3-30 14:46 作者: 過(guò)分自信 時(shí)間: 2025-3-30 18:38 作者: Generosity 時(shí)間: 2025-3-30 23:11 作者: 決定性 時(shí)間: 2025-3-31 03:35 作者: Cleave 時(shí)間: 2025-3-31 07:49
DunDi: Improving Robustness of Neural Networks Using Distance Metric Learningo misprediction of the DNN, even it is imperceptible to humans. This defect makes the DNN lack of robustness to malicious perturbations, and thus limits their usage in many safety-critical systems. To this end, we present DunDi, a metric learning based classification model, to provide the ability to作者: Subdue 時(shí)間: 2025-3-31 11:31
Autism Screening Using Deep Embedding Representation can improve treatment and significantly decrease associated healthcare cost, which reveals an urgent need for the development of ASD screening. However, the data used for ASD screening is heterogenous and multi-source, resulting in existing screening tools for ASD screening are expensive, time-inte作者: 殺蟲(chóng)劑 時(shí)間: 2025-3-31 13:48 作者: 敵意 時(shí)間: 2025-3-31 20:23
Fast and Scalable Outlier Detection with Metric Access Methods real application. With that in mind, this paper describes an empirical study performed on . using 8 algorithms from the state-of-the-art and 8 datasets that refer to a variety of real-world tasks of high impact, like spotting cyberattacks, clinical pathologies and abnormalities in nature. We presen作者: 壯觀的游行 時(shí)間: 2025-3-31 22:33 作者: 晚間 時(shí)間: 2025-4-1 03:38
Data Analysis for Atomic Shapes in Nuclear Scienceg the shape of atomic nuclei. The current method involves fitting each sample in the dataset to a given parameterized model function. However, this procedure is computationally expensive due to the nature of the nonlinear curve fitting problem. Since data is skewed towards non-unique signatures, we 作者: FLORA 時(shí)間: 2025-4-1 07:16
A Novel Partition Method for Busy Urban Area Based on Spatial-Temporal Informationthe world, especially the urban areas where people are crowd and active, into regions is very crucial. In this paper, we propose a novel method called Restricted Spatial-Temporal DBSCAN (RST-DBSCAN). The key idea is to partition busy urban areas based on spatial-temporal information. Arbitrary and s作者: botany 時(shí)間: 2025-4-1 10:40 作者: Lumbar-Spine 時(shí)間: 2025-4-1 16:23 作者: 好色 時(shí)間: 2025-4-1 20:24
Sustainable Development Insights from India to be ported to a real quantum device. The described results were obtained by simulation on classical computer, but the algorithms were designed in a way that will allow to use a real quantum computer, when ready.
