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35th Meeting: Sapporo, JP, July 2024 2024-07-15 08:02
AHG12: SGPM improvements
Authors: Keqin Ding TCL Hongdong Qin TCL Jacek Konieczny TCL A. Filippov TCL V. Rufitskiy TCL
Abstract
This contribution proposes to introduce regression-based blending methods to SGPM to derive the blending weights and an improvement on coding the SGPM candidate index.
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