Math teacher Emma Chiappetta uses a three-round exercise to help students not only recognize their errors, but also generate ...
Abstract: Recent visual-based depression recognition methods mostly use hand-crafted features with information lost in color channels, or deep network features with a limited performance from the ...
Abstract: Memristor-based in-memory computing has emerged as a promising solution for overcoming the computational bottleneck associated with traditional von Neumann architectures. Despite its ...