Results 31 to 40 of about 735,517 (309)
Feature Extraction in Speechreading
Journal of Software, 2010 To solve the problem of feature extraction in speechreading, several appearance-based feature extraction method are compared and a new improved LDA algorithm is proposed in this paper. I n speech or speechreading recognition application, Linear Discriminant Analysis (LDA) usually choose syllable 、 HMM state or other units as class ...
Jun He, Hua Zhang
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An Algebra for Feature Extraction [PDF]
Proceedings of the 55th Annual Meeting of the Association for
Computational Linguistics (Volume 1: Long Papers), 2017 Though feature extraction is a necessary first step in statistical NLP, it is often seen as a mere preprocessing step. Yet, it can dominate computation time, both during training, and especially at deployment. In this paper, we formalize feature extraction from an algebraic perspective.
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A flowchart of the proposed AE features extraction and classification approach.
, 2021 A flowchart of the proposed AE features extraction and classification approach.
Muhammad Shazwan Mahmud (9640767) +4 more
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Fraud Detection Model Based on Multi-Verse Features Extraction Approach for Smart City Applications
, 2019 The modern adoption of e-Commerce has accelerated the need for effective customer protection, as part of the roadmap to expanding e-Commerce in smart cities.
Sadiq, Ali Safa +9 more
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A Neural Network-Based Partial Fingerprint Image Identification Method for Crime Scenes
Applied Sciences, 2023 Fingerprints are the most widely used of all biological characteristics in public safety and forensic identification. However, fingerprint images extracted from the crime scene are incomplete. On the one hand, due to the lack of effective area in partial
Yuting Sun, Yanfeng Tang, Xiaojuan Chen
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Shennong: A Python toolbox for audio speech features extraction
, 2023 We introduce Shennong, a Python toolbox and command-line utility for audio speech features extraction. It implements a wide range of well-established state-of-the-art algorithms: spectro-temporal filters such as Mel-Frequency Cepstral Filterbank or ...
Dupoux, Emmanuel +3 more
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SensorsSensors are widely used in inland waterway buoys to monitor their position, but the collected data are often affected by noise, outliers, and irregular sampling intervals. To address these challenges, a standardized data processing framework is proposed.
Xin Li +3 more
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An Efficient Hardware-Oriented Single-Pass Approach for Connected Component Analysis
Sensors, 2019 Connected Component Analysis (CCA) plays an important role in several image analysis and pattern recognition algorithms. Being one of the most time-consuming tasks in such applications, specific hardware accelerator for the CCA are highly desirable.
Fanny Spagnolo +2 more
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PYRADIOMICS FEATURES EXTRACTION AND MACHINE LEARNING MEDICAL IMAGES CLASSIFICATION [PDF]
, 2023 Malignant neoplasms are among the deadliest diseases. The machine learning medical images classification can be used for diagnosis, monitoring and therapy planning.
Смирнов, А. А. +3 more
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Performance of CPU_GPU parallel architecture on segmentation and geometrical features extraction of Malaysian herb leaves [PDF]
, 2022 Image recognition includes the segmentation of image boundary, geometrical features extraction, and classification is used in the particular image database development. The ultimate challenge in this task is it is computationally expensive.
Hadi, N. A. +3 more
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