scholar.google.com › citations
23 hours ago ， In this study, a consistency analysis method based on wavelet-based feature extraction and one-class support vector machines is proposed. This method performs a ...
16 hours ago ， The goal of AMT is to automatically transform a segment of audio into MIDI or sheet music representations. Its applications span various areas, including ...
23 hours ago ， Its powerful feature extraction capabilities and strong adaptability to complex and variable data have made it a popular research topic both domestically and ...
9 hours ago ， Sequential pattern mining (SPM) is a useful tool for extracting implicit and meaningful rules from sequence datasets that can aid the decision-making proce.
17 hours ago ， Combining HDC with neural network architectures may leverage the strengths of both approaches. For example, using neural networks for feature extraction and HDC ...
14 hours ago ， Databricks Feature Store is a centralized platform for managing and serving machine learning models and features; enabling data scientists and engineers to ...
12 hours ago ， Applications of quantum machine learning (QML) include: Image Recognition: Utilizing quantum states to enhance feature extraction. Speech Recognition ...
14 hours ago ， Solix's data extraction solution uses advanced algorithms and machine learning techniques to identify and extract relevant data from complex data ...
22 hours ago ， We will first follow an unsupervised pretraining plan using speech feature extraction (eg, mel-frequency cepstral coefficients, pitch, and energy), visual ...
10 hours ago ， Feature extraction: The process of identifying and selecting relevant features from raw data that will be used to train machine learning models, aiming to ...
