整理
发表于 2025-3-28 15:19:59
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audiologist
发表于 2025-3-28 21:16:01
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Throttle
发表于 2025-3-29 02:31:23
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intention
发表于 2025-3-29 07:00:48
Keyword Spotting with Convolutional Deep Belief Networks and Dynamic Time Warpingworks and using Dynamic Time Warping for word scoring. Features are learned from word images, in an unsupervised manner, using a sliding window to extract horizontal patches. For two single writer historical data sets, it is shown that the proposed learned feature extractor outperforms two standard
同来核对
发表于 2025-3-29 07:33:00
Computational Advantages of Deep Prototype-Based Learningdel but at a fraction of the computational cost, especially w.r.t. memory requirements. As prototype-based classification and regression methods are typically plagued by the exploding number of prototypes necessary to solve complex problems, this is an important step towards efficient prototype-base
沙发
发表于 2025-3-29 15:00:04
Deep Convolutional Neural Networks for Classifying Body Constitutionoblem of standardizing constitutional classification has become a constraint on the development of Chinese medical constitution. Traditional recognition methods, such as questionnaire and medical examination have the shortcoming of inefficiency and low accuracy. We present an advanced deep convoluti
Comprise
发表于 2025-3-29 19:08:38
Feature Extractor Based Deep Method to Enhance Online Arabic Handwritten Recognition Systemit handcrafted features based on beta-elliptic model and automatic features using deep classifier called Convolutional Deep Belief Network (CDBN). The experiments are conducted on two different Arabic databases: LMCA and ADAB databases which including respectively isolated characters and Tunisian na
AV-node
发表于 2025-3-29 20:03:40
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Hemodialysis
发表于 2025-3-30 00:44:49
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absorbed
发表于 2025-3-30 05:10:02
Tactile Convolutional Networks for Online Slip and Rotation Detectionetwork layouts and reached a final classification rate of more than 97 %. Using consumer class GPUs, slippage and rotation events can be detected within 10 ms, which is still feasible for adaptive grasp control.