Stan Z. Li

TL;DR: A classifier of 14 proteins achieved over 93% accuracy in classifying malignant thyroid nodules and was validated in retrospective samples of 271 patients (91% accuracy), and prospective samples of 62 patients from four independent centers.

TL;DR: In this paper, the electron backscattered diffraction technique was employed to map the crystallographic orientation distribution, determine the misorientation of grain boundaries and also map the misoriented distribution in Bi2223 superconductor tapes.

TL;DR: A belief networks method for rule mining, which takes the advantage of belief networks as the directed acyclic graph language and their function for numerical representation of probabilistic dependencies among the variables in the database, so that it can overcome the drawbacks of existing data mining methods.

TL;DR: This article proposes a bidirectional long short-term memory (Bi-LSTM) method, determining video division points based on skeleton points, and introduces the corrected segmentation rate (CSR) metric to evaluate the performance of temporal segmentation for continuous gesture recognition.

TL;DR: A novel and efficient feature selection method that is designed for linear discriminant analysis (LDA) is proposed that uses the Fisher criterion to select the most discriminative and appropriate features so that the objectives of feature selection and classifier learning are consistent and the face recognition performance is expected to be improved.