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Face Verification via learning the kernel matrix
The method CSKDA needs to choose a proper kernel function through many experiments, while the new method could learn the kernel from data automatically which could save a lot of time and have the robust performance.
Computer-Aided Diagnosis of Label-Free 3-D Optical Coherence Microscopy Images of Human Cervical Tissue
Ten-fold cross-validations were utilized to test the performance of the CADx method in a five-class classification task and a binary classification task.
Gradient-based Representational Similarity Analysis with Searchlight for Analyzing fMRI Data
Classical RSA techniques employ the inverse of the covariance matrix to explore a linear model between the neural activities and task events.
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