Abstract: Although recent deep-learning-based speech enhancement (SE) methods significantly outperform traditional approaches, their computational demands often scale proportionally with their ...
Abstract: We apply the innovations method to Viterbi decoding of convolutional codes. First, we calculate the covariance matrix of the innovation (i.e., the soft-decision input to the main decoder in ...
This is the offical Pytorch implementation of PersPose, which estimates the 3D positions of joints from individual images. Below is the overall framework. We design Perspective Encoding (PE) to encode ...
Key insight: model trained on simple data generalizes to complex data without fine-tuning. Support set: S = {(x_1, y_1), ..., (x_n, y_n)} where n = N * K Query set: Q ...
ABSTRACT: From the perspective of student consumption behavior, a data-driven framework for screening student loan eligibility was developed using K-means clustering analysis and decision tree models.
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