| 000 | 01879nam a2200121Ia 4500 | ||
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| 008 | 220620s9999||||xx |||||||||||||| ||und|| | ||
| 245 | 0 | _aStatistical Machine Learning for Human Behaviour Analysis | |
| 546 | _aEnglish[eng] | ||
| 650 | _amulti-objective evolutionary algorithms||rule-based classifiers||interpretable machine learning||categorical data||hand sign language||deep learning||restricted Boltzmann machine (RBM)||multi-modal||profoundly deaf||noisy image||ensemble methods||adaptive classifiers||recurrent concepts||concept drift||stock price direction prediction||toe-off detection||gait event||silhouettes difference||convolutional neural network||saliency detection||foggy image||spatial domain||frequency domain||object contour detection||discrete stationary wavelet transform||attention allocation||attention behavior||hybrid entropy||information entropy||single pixel single photon image acquisition||time-of-flight||action recognition||fibromyalgia||Learning Using Concave and Convex Kernels||Empatica E4||self-reported survey||speech emotion recognition||3D convolutional neural networks||k-means clustering||spectrograms||context-aware framework||accuracy||false negative rate||individual behavior estimation||statistical-based time-frequency domain and crowd condition||emotion recognition||gestures||body movements||Kinect sensor||neural networks||face analysis||face segmentation||head pose estimation||age classification||gender classification||singular point detection||boundary segmentation||blurring detection||fingerprint image enhancement||fingerprint quality||speech||committee of classifiers||biometric recognition||multimodal-based human identification||privacy||privacy-aware | ||
| 700 | _aMoeslund, Thomas||Escalera, Sergio||Anbarjafari, Gholamreza||Nasrollahi, Kamal||Wan, Jun | ||
| 856 | _uhttps://mdpi.com/books/pdfview/book/2393 | ||
| 942 | _cEB | ||
| 999 |
_c26013 _d26013 |
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