書(shū)目名稱Artificial Neural Networks in Pattern Recognition影響因子(影響力)學(xué)科排名
書(shū)目名稱Artificial Neural Networks in Pattern Recognition網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Artificial Neural Networks in Pattern Recognition網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Artificial Neural Networks in Pattern Recognition被引頻次
書(shū)目名稱Artificial Neural Networks in Pattern Recognition被引頻次學(xué)科排名
書(shū)目名稱Artificial Neural Networks in Pattern Recognition年度引用
書(shū)目名稱Artificial Neural Networks in Pattern Recognition年度引用學(xué)科排名
書(shū)目名稱Artificial Neural Networks in Pattern Recognition讀者反饋
書(shū)目名稱Artificial Neural Networks in Pattern Recognition讀者反饋學(xué)科排名
作者: sacrum 時(shí)間: 2025-3-21 22:08
K. Me?mer,H. Cotta,M. E. Müllers, which avoids the need for retraining the model. We perform experiments using the PASCAL-VOC2007 dataset. While the baseline SSD has 22M parameters and an mAP score of 77.20, the use of the SFCM (one of the plugins we used) increases the mAP score to 78.82 and the number of parameters to 25M.作者: 演講 時(shí)間: 2025-3-22 00:58
https://doi.org/10.1007/978-3-642-75445-6ness against noisy inputs. Our empirical results show that the new training regime improves the performance of echo state networks in an open loop setup under high noise and generally improves their performance in closed loop setups.作者: 含鐵 時(shí)間: 2025-3-22 04:56
Deutscher Bergbau in Geschichte und Ethos,r performance on NED and introduce a strategy to scale it to hundreds of thousands of formal names. Our experiments on several datasets for alias detection demonstrate that our system is capable of obtaining superior results with a large margin compared to other state-of-the-art systems.作者: 高度贊揚(yáng) 時(shí)間: 2025-3-22 09:44 作者: 粗糙 時(shí)間: 2025-3-22 16:02 作者: 毛細(xì)血管 時(shí)間: 2025-3-22 18:35 作者: hankering 時(shí)間: 2025-3-23 00:30 作者: RUPT 時(shí)間: 2025-3-23 02:22 作者: 大猩猩 時(shí)間: 2025-3-23 08:14
über die Ursache des Geburtseintrittsmethod based on CNN and handcrafted features. Furthermore, a novel analysis technique for deep similarity networks is introduced for the purpose of finding relevant image regions. The proposed approach is evaluated qualitatively on video recordings of the German Broadcasting Archive.作者: 撫育 時(shí)間: 2025-3-23 11:09 作者: Hallmark 時(shí)間: 2025-3-23 15:57
Gedanken zu der heutigen Musik,edding (.-SNE) shows that the word embeddings finds distinct structure in the plasmid sequences. The SVM assigned the plasmids in the testing dataset with an average accuracy of 85.9% to the correct MOB type.作者: Grievance 時(shí)間: 2025-3-23 20:48 作者: LIKEN 時(shí)間: 2025-3-24 02:16
Feature Extraction: A Time Window Analysis Based on the X-ITE Pain Databasenificantly, when pain is induced by thermal stimuli. Moreover, our evaluations point out that the outcomes differ significantly, when participants are exposed to electrical pain stimuli. For short-term electric pain stimuli, the best results are obtained without temporal shifts of the feature extraction windows.作者: Encumber 時(shí)間: 2025-3-24 05:59
Typing Plasmids with Distributed Sequence Representationedding (.-SNE) shows that the word embeddings finds distinct structure in the plasmid sequences. The SVM assigned the plasmids in the testing dataset with an average accuracy of 85.9% to the correct MOB type.作者: Ondines-curse 時(shí)間: 2025-3-24 10:13
Minimal Complexity Support Vector Machines L1 SVM. We call the machine Minimum complexity L1 SVM (ML1 SVM). We compare the ML1 SVM with other types of SVMs including the L1 SVM using several benchmark data sets and show that the ML1 SVM performs comparable to or better than the L1 SVM.作者: 名字的誤用 時(shí)間: 2025-3-24 11:52 作者: defray 時(shí)間: 2025-3-24 18:10
Deep Transfer Learning for Texture Classification in Colorectal Cancer Histologycle-policy and apply structure-preserving colour normalization to boost our results. We also provide visual explanations of the deep neural network’s decision on texture classification. With achieving state-of-the-art test accuracy of 96.2% we also embark on using a deployment friendly architecture called SqueezeNet for memory-limited hardware.作者: narcissism 時(shí)間: 2025-3-24 21:38
0302-9743 al network-and machine learning-based pattern recognition. They are organized in two sections: learning algorithms and architectures, and applications..978-3-030-58308-8978-3-030-58309-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Confess 時(shí)間: 2025-3-25 02:17
Conference proceedings 2020 2020, held in Winterthur, Switzerland, in September 2020. The conference was held virtually due to the COVID-19 pandemic.. The 22 revised full papers presented were carefully reviewed and selected from 34 submissions. The papers present and discuss the latest research in all areas of neural network作者: 拍翅 時(shí)間: 2025-3-25 06:01 作者: ASSAY 時(shí)間: 2025-3-25 08:49 作者: legitimate 時(shí)間: 2025-3-25 13:00 作者: 影響深遠(yuǎn) 時(shí)間: 2025-3-25 19:12
Gedanken zu der heutigen Musik,cle-policy and apply structure-preserving colour normalization to boost our results. We also provide visual explanations of the deep neural network’s decision on texture classification. With achieving state-of-the-art test accuracy of 96.2% we also embark on using a deployment friendly architecture called SqueezeNet for memory-limited hardware.作者: 狗舍 時(shí)間: 2025-3-25 20:00
Artificial Neural Networks in Pattern Recognition978-3-030-58309-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: AMITY 時(shí)間: 2025-3-26 01:55
über Form und Wachstum des oberen Femurendes in virtually every aspect of the common treatment workflows. Advances in imaging hardware and algorithmic processing are enablers for substantial treatment quality improvements like online adaptation of the treatment, accounting for anatomical changes of the day, or intra-fraction motion monitoring作者: 分發(fā) 時(shí)間: 2025-3-26 04:20 作者: 可卡 時(shí)間: 2025-3-26 10:33 作者: FLUSH 時(shí)間: 2025-3-26 14:10 作者: 繞著哥哥問(wèn) 時(shí)間: 2025-3-26 20:03 作者: ensemble 時(shí)間: 2025-3-26 23:47
https://doi.org/10.1007/978-3-642-75445-6o be hardened to work under such conditions. Abstract interpretation, as a tool to formally verify properties of computations, can be used for this task. But, to date, this has mostly been studied for feed-forward networks, but not so for recurrent neural networks. For a subclass of recurrent neural作者: 無(wú)意 時(shí)間: 2025-3-27 02:03
K. Me?mer,H. Cotta,M. E. Müllerarization term is not included in the objective function, the solution is not unique. In this paper, to solve this problem, we propose fusing the MCM and the standard support vector machine (L1 SVM). This is realized by minimizing the upper bound on the decision function for the training data in the作者: Limerick 時(shí)間: 2025-3-27 05:35
Deutscher Bergbau in Geschichte und Ethos, base construction, or relation extraction, to name a few. The task in NED is to map textual variations of a named entity to its formal name. It has been shown that parameter-less models for NED do not generalize to other domains very well. On the other hand, parametric learning models do not scale 作者: Fsh238 時(shí)間: 2025-3-27 12:10 作者: EXCEL 時(shí)間: 2025-3-27 17:06 作者: Gullible 時(shí)間: 2025-3-27 18:59 作者: Commodious 時(shí)間: 2025-3-27 23:09
https://doi.org/10.1007/978-3-662-30319-1ailable BioVid Heat Pain Database, which was collected at Ulm University. The BioVid Heat Pain Database consists of different recordings of healthy test subjects that were exposed to various short-time heat stimuli. The results reported in the literature, which are based on those short-time sequence作者: 增長(zhǎng) 時(shí)間: 2025-3-28 04:16 作者: Bucket 時(shí)間: 2025-3-28 08:11 作者: duplicate 時(shí)間: 2025-3-28 11:29
Gedanken zu der heutigen Musik,ously limited due to medical data legal constraints, availability of field experts for annotation, numerous and sometimes rare diseases, large variance of skin pigmentation or the presence of identifying factors such as fingerprints or tattoos. With these generic issues in mind, we explore the appli作者: MAPLE 時(shí)間: 2025-3-28 15:20 作者: Affable 時(shí)間: 2025-3-28 19:26
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/162680.jpg作者: CAMP 時(shí)間: 2025-3-29 00:39 作者: 表示向下 時(shí)間: 2025-3-29 03:43 作者: Dealing 時(shí)間: 2025-3-29 08:00
über Form und Wachstum des oberen Femurendeses get outperformed by data driven machine learning methods. Especially worth to mention is that this not only holds true in terms of precision and computational performance but also in terms of complexity reduction and maintainability. In this paper we provide an overview about the different stages作者: STELL 時(shí)間: 2025-3-29 11:50 作者: 遺棄 時(shí)間: 2025-3-29 17:38 作者: 木質(zhì) 時(shí)間: 2025-3-29 23:23
https://doi.org/10.1007/978-3-662-30319-1tomated pain intensity recognition approach in combination with different sets of short-time sequences. Our outcomes indicate, that in real-world applications, where the detection of pain intensity is based on more than one single short-time sequence, the accuracy values can be significantly improve作者: Ballad 時(shí)間: 2025-3-29 23:52 作者: 吹牛需要藝術(shù) 時(shí)間: 2025-3-30 06:02 作者: 多余 時(shí)間: 2025-3-30 09:54
Deep Learning Methods for Image Guidance in Radiation Therapyes get outperformed by data driven machine learning methods. Especially worth to mention is that this not only holds true in terms of precision and computational performance but also in terms of complexity reduction and maintainability. In this paper we provide an overview about the different stages作者: 熄滅 時(shí)間: 2025-3-30 12:40
Long Distance Relationships Without Time Travel: Boosting the Performance of a Sparse Predictive Autnce learning task consisting of high-Markov-order sequences of MNIST digits. We find that this model learns these sequences faster and more completely than an LSTM, and offer several possible explanations why the LSTM architecture might struggle with the partially observable sequence structure in th作者: ELUDE 時(shí)間: 2025-3-30 19:54 作者: craven 時(shí)間: 2025-3-31 00:42
Pain Intensity Recognition - An Analysis of Short-Time Sequences in a Real-World Scenariotomated pain intensity recognition approach in combination with different sets of short-time sequences. Our outcomes indicate, that in real-world applications, where the detection of pain intensity is based on more than one single short-time sequence, the accuracy values can be significantly improve
