NSTL国家科技图书文献中心

1. PLDA in i-vector based underwater acoustic signals classification NSTL国家科技图书文献中心

Yongqiang Song | Feng Liu ... - 《Ships and offshore structures》 - 2024,19(1/3) - 366～374 - 共9页

摘要： probabilistic linear discriminant analysis (PLDA) model that | Intelligent recognition of underwater acoustic | targets is crucial for exploiting marine resources. In | this paper, we propose a deep learning method for | underwater acoustic signal recognition consisting of three

关键词： Deep learning | underwater acoustic signal processing | probabilistic discriminant analysis methods | long short-term memory

2. DISCRIMINATIVE TRAINING OF VBX DIARIZATION NSTL国家科技图书文献中心

Dominik Klement | Mireia Diez ... - 《ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024), Vol.15: Seoul, South Korea.14-19 April 2024》 - IEEE International Conference on Acoustics, Speech and Signal Processing - 2024, - 11871～11875 - 共5页

摘要： probabilistic linear discriminant analysis (PLDA) for speaker | Bayesian HMM clustering of x-vector sequences | (VBx) has become a widely adopted diarization | baseline model in publications and challenges. It uses an | HMM to model speaker turns, a gen-eratively trained

关键词： speaker diarization | VBx | clustering | variational Bayes | discriminative training

3. Deep normalization for light SpineNet speaker anti-spoofing systems NSTL国家科技图书文献中心

Zhor Benhafid | Sid Ahmed Selouani ... - 《Multimedia tools and applications》 - 2024,83(33) - 80261～80275 - 共15页

摘要： probabilistic linear discriminant analysis (PLDA) scoring | Despite their impressive performance in | controlled conditions, current speaker recognition systems | still face challenges related to the diversity of real | -world situations, including unpredictable noisy

关键词： Speaker anti-spoofing system | LSpineNet | Countermeasure speaker embeddings | Deep normalization | ASVspoof 2021

4. Joint speaker encoder and neural back-end model for fully end-to-end automatic speaker verification with multiple enrollment utterances NSTL国家科技图书文献中心

Chang Zeng | Xiaoxiao Miao ... - 《Computer speech & language》 - 2024,86(Jun.) - 101619.1～101619.19 - 共19页

摘要： statistics-based probabilistic linear discriminant analysis | Conventional automatic speaker verification | systems can usually be decomposed into a front-end model | such as time delay neural network (TDNN) for | extracting speaker embeddings and a back-end model such as

关键词： Automatic speaker verification | Deep learning | Neural network | Attention | Data augmentation

5. Rootkit Detection Using Hybrid Machine Learning Models and Deep Learning Model: Implementation NSTL国家科技图书文献中心

Suresh Kumar S | Stephen S ... - 《2024 International Conference on Advances in Computing, Communication and Applied Informatics: International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI 2024), 9-10 May 2024, Chennai, India》 - International Conference on Advances in Computing, Communication and Applied Informatics - 2024, - 1～7 - 共7页

摘要： Linear Discriminant Analysis, Multi-layer Perceptron | probabilistic modeling and dimensionality reduction | Rootkits are a type of malicious software | designed to exploit system vulnerabilities and evade | detection by traditional security mechanisms. This study

关键词： Support vector machines | Analytical models | Logistic regression | Machine learning algorithms | Accuracy | Computational modeling | Linear discriminant analysis

6. Driver intention recognition based on error-related potentials NSTL国家科技图书文献中心

Yibo Wu | Bin Shen ... - 《Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024),Part Two of Two Parts》 - International Conference on Advanced Algorithms and Neural Networks - 2024, - 134163V.1～134163V.6 - 共6页

摘要： Discriminant Analysis (SKLDA), Linear Support Vector Machine | Through the collection and analysis* of drivers* | ms after error event stimuli. Shrinkage Linear | (LSVM), and Probabilistic* Kernel Support Vector* | ' electroencephalogram (EEG) data, this study extracts characteristics

关键词： Driver intention | Error-related potential | Electroencephalogram | Convolutional neural network

7. Comparing linear discriminant analysis and supervised learning algorithms for binary classification—A method comparison study NSTL国家科技图书文献中心

Ricarda Graf | Marina Zeldovich ... - 《Biometrical Journal》 - 2024,66(1) - n/a～n/a - 共20页 - 被引量：6

摘要：Abstract In psychology, linear discriminant | analysis (LDA) is the method of choice for two‐group | nonparametric alternatives, the linear* support vector machine* | ), random forest (RF), probabilistic* neural network (PNN* | classification tasks based on questionnaire data. In this study

关键词： binary classification | linear discriminant analysis | multivariate normality | simulation study | supervised learning

8. Machine learning driven portable Vis-SWNIR spectrophotometer for non-destructive classification of raw tomatoes based on lycopene content NSTL国家科技图书文献中心

Sharma, Arun | Kumar, Ritesh ... - 《Vibrational Spectroscopy: An International Journal devoted to Applications of Infrared and Raman Spectroscopy》 - 2024,130 - ARTN 103628～ - 共12页 - 被引量：1

摘要： regression, Linear* Discriminant Analysis (LDA), Random* | -itatively observed using principal component analysis | based on analysis* of variance and 14 wavelengths which* | probabilistic and non-probabilistic models including logistic | Most of the research on intact fruit

关键词： Spectroscopy | Lycopene | Non-destructive | Quality assessment | Tomatoes | Climacteric fruits | NIR SPECTROSCOPY | ELECTRONIC NOSE | QUALITY | FRUIT...

9. Effects of Radial Growth in Mire Pine Stands from the Perspective of a Phytosocial Paradigm NSTL国家科技图书文献中心

Efremov, S. P. | Efremova, T. T.... - 《Contemporary Problems of Ecology》 - 2024,17(5) - 670～681 - 共12页

摘要： multivariate statistical analysis (cluster and discriminant | analysis) of the data on the cyclic fluctuations in the | eutrophic pine stands, according to the linear* trend, an* | societal formation via probabilistic* good-neighbor* | The patterns of radial growth in Scots pine

关键词： habitat clusters | annual ring width | chain radial growth | trend equations | Russian phytosociology

10. COVARIANCE REGULARIZATION FOR PROBABILISTIC LINEAR DISCRIMINANT ANALYSIS NSTL国家科技图书文献中心

Zhiyuan Peng | Mingjie Shao ... - 《2023 IEEE International Conference on Acoustics, Speech and Signal Processing: ICASSP 2023, Rhodes Island, Greece, 4-10 June 2023, [v.10]》 - IEEE International Conference on Acoustics, Speech and Signal Processing - 2023, - 7911～7915 - 共5页

摘要：Probabilistic linear discriminant analysis | (PLDA) is commonly used in speaker verification | systems to score the similarity of speaker embeddings | . Recent studies improved the performance of PLDA in | domain-matched conditions by diagonalizing its

摘要： probabilistic linear discriminant analysis (PLDA) model that | Intelligent recognition of underwater acoustic | targets is crucial for exploiting marine resources. In | this paper, we propose a deep learning method for | underwater acoustic signal recognition consisting of three

关键词： Deep learning | underwater acoustic signal processing | probabilistic discriminant analysis methods | long short-term memory

摘要： probabilistic linear discriminant analysis (PLDA) for speaker | Bayesian HMM clustering of x-vector sequences | (VBx) has become a widely adopted diarization | baseline model in publications and challenges. It uses an | HMM to model speaker turns, a gen-eratively trained

关键词： speaker diarization | VBx | clustering | variational Bayes | discriminative training

摘要： probabilistic linear discriminant analysis (PLDA) scoring | Despite their impressive performance in | controlled conditions, current speaker recognition systems | still face challenges related to the diversity of real | -world situations, including unpredictable noisy

关键词： Speaker anti-spoofing system | LSpineNet | Countermeasure speaker embeddings | Deep normalization | ASVspoof 2021

摘要： statistics-based probabilistic linear discriminant analysis | Conventional automatic speaker verification | systems can usually be decomposed into a front-end model | such as time delay neural network (TDNN) for | extracting speaker embeddings and a back-end model such as

关键词： Automatic speaker verification | Deep learning | Neural network | Attention | Data augmentation

摘要： Linear Discriminant Analysis, Multi-layer Perceptron | probabilistic modeling and dimensionality reduction | Rootkits are a type of malicious software | designed to exploit system vulnerabilities and evade | detection by traditional security mechanisms. This study

关键词： Support vector machines | Analytical models | Logistic regression | Machine learning algorithms | Accuracy | Computational modeling | Linear discriminant analysis

摘要： Discriminant Analysis (SKLDA), Linear Support Vector Machine | Through the collection and analysis* of drivers* | ms after error event stimuli. Shrinkage Linear | (LSVM), and Probabilistic* Kernel Support Vector* | ' electroencephalogram (EEG) data, this study extracts characteristics

关键词： Driver intention | Error-related potential | Electroencephalogram | Convolutional neural network

关键词： binary classification | linear discriminant analysis | multivariate normality | simulation study | supervised learning

摘要： regression, Linear* Discriminant Analysis (LDA), Random* | -itatively observed using principal component analysis | based on analysis* of variance and 14 wavelengths which* | probabilistic and non-probabilistic models including logistic | Most of the research on intact fruit

关键词： Spectroscopy | Lycopene | Non-destructive | Quality assessment | Tomatoes | Climacteric fruits | NIR SPECTROSCOPY | ELECTRONIC NOSE | QUALITY | FRUIT...

摘要： multivariate statistical analysis (cluster and discriminant | analysis) of the data on the cyclic fluctuations in the | eutrophic pine stands, according to the linear* trend, an* | societal formation via probabilistic* good-neighbor* | The patterns of radial growth in Scots pine

关键词： habitat clusters | annual ring width | chain radial growth | trend equations | Russian phytosociology

摘要：Probabilistic linear discriminant analysis | (PLDA) is commonly used in speaker verification | systems to score the similarity of speaker embeddings | . Recent studies improved the performance of PLDA in | domain-matched conditions by diagonalizing its

关键词： speaker verification | PLDA | regularization

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： probabilistic linear discriminant analysis (PLDA) model that | Intelligent recognition of underwater acoustic | targets is crucial for exploiting marine resources. In | this paper, we propose a deep learning method for | underwater acoustic signal recognition consisting of three

关键词： Deep learning | underwater acoustic signal processing | probabilistic discriminant analysis methods | long short-term memory

摘要： probabilistic linear discriminant analysis (PLDA) for speaker | Bayesian HMM clustering of x-vector sequences | (VBx) has become a widely adopted diarization | baseline model in publications and challenges. It uses an | HMM to model speaker turns, a gen-eratively trained

关键词： speaker diarization | VBx | clustering | variational Bayes | discriminative training

摘要： probabilistic linear discriminant analysis (PLDA) scoring | Despite their impressive performance in | controlled conditions, current speaker recognition systems | still face challenges related to the diversity of real | -world situations, including unpredictable noisy

关键词： Speaker anti-spoofing system | LSpineNet | Countermeasure speaker embeddings | Deep normalization | ASVspoof 2021

摘要： statistics-based probabilistic linear discriminant analysis | Conventional automatic speaker verification | systems can usually be decomposed into a front-end model | such as time delay neural network (TDNN) for | extracting speaker embeddings and a back-end model such as

关键词： Automatic speaker verification | Deep learning | Neural network | Attention | Data augmentation

摘要： Linear Discriminant Analysis, Multi-layer Perceptron | probabilistic modeling and dimensionality reduction | Rootkits are a type of malicious software | designed to exploit system vulnerabilities and evade | detection by traditional security mechanisms. This study

关键词： Support vector machines | Analytical models | Logistic regression | Machine learning algorithms | Accuracy | Computational modeling | Linear discriminant analysis

摘要： Discriminant Analysis (SKLDA), Linear Support Vector Machine | Through the collection and analysis of drivers | ms after error event stimuli. Shrinkage Linear | (LSVM), and Probabilistic Kernel Support Vector | ' electroencephalogram (EEG) data, this study extracts characteristics

关键词： Driver intention | Error-related potential | Electroencephalogram | Convolutional neural network

摘要：Abstract In psychology, linear discriminant | analysis (LDA) is the method of choice for two‐group | nonparametric alternatives, the linear support vector machine | ), random forest (RF), probabilistic neural network (PNN | classification tasks based on questionnaire data. In this study

关键词： binary classification | linear discriminant analysis | multivariate normality | simulation study | supervised learning

摘要： regression, Linear Discriminant Analysis (LDA), Random | -itatively observed using principal component analysis | based on analysis of variance and 14 wavelengths which | probabilistic and non-probabilistic models including logistic | Most of the research on intact fruit

关键词： Spectroscopy | Lycopene | Non-destructive | Quality assessment | Tomatoes | Climacteric fruits | NIR SPECTROSCOPY | ELECTRONIC NOSE | QUALITY | FRUIT...

摘要： multivariate statistical analysis (cluster and discriminant | analysis) of the data on the cyclic fluctuations in the | eutrophic pine stands, according to the linear trend, an | societal formation via probabilistic good-neighbor | The patterns of radial growth in Scots pine

关键词： habitat clusters | annual ring width | chain radial growth | trend equations | Russian phytosociology

摘要：Probabilistic linear discriminant analysis | (PLDA) is commonly used in speaker verification | systems to score the similarity of speaker embeddings | . Recent studies improved the performance of PLDA in | domain-matched conditions by diagonalizing its

关键词： speaker verification | PLDA | regularization

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： Discriminant Analysis (SKLDA), Linear Support Vector Machine | Through the collection and analysis* of drivers* | ms after error event stimuli. Shrinkage Linear | (LSVM), and Probabilistic* Kernel Support Vector* | ' electroencephalogram (EEG) data, this study extracts characteristics

摘要： regression, Linear* Discriminant Analysis (LDA), Random* | -itatively observed using principal component analysis | based on analysis* of variance and 14 wavelengths which* | probabilistic and non-probabilistic models including logistic | Most of the research on intact fruit

摘要： multivariate statistical analysis (cluster and discriminant | analysis) of the data on the cyclic fluctuations in the | eutrophic pine stands, according to the linear* trend, an* | societal formation via probabilistic* good-neighbor* | The patterns of radial growth in Scots pine