IEEE

Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources Than Sensors: A Deep Learning Methodology

Abstract: Localizing more sources than sensors with a sparse linear array (SLA) has long relied on minimizing a distance between two covariance matrices and recent algorithms often utilize ...
GitHub

SimVQ: Addressing Representation Collapse in Vector Quantized Models with One Linear Layer

imagenet └── train/ ├── n01440764 ├── n01440764_10026.JPEG ├── n01440764_10027.JPEG ├── ... ├── n01443537 ...
Scientific Research Publishing

Kim, S. and Park, J. (2024) Probing In-Depth Information through Iterative Questioning: A Framework for Teacher Interviews in Language Education. Language Learning, 74, 145-172.

ABSTRACT: English teaching is popular in Chinese teaching context, especially teaching reading. With respect to the teaching materials, it is common that both teachers and students greatly depend on ...
IEEE

Fuzzy Rule-Based Differentiable Representation Learning

Abstract: Representation learning is a key area in machine learning and deep learning, focusing on extracting meaningful features to support downstream tasks such as classification and clustering.