Dec 19, 2023 · This paper presents a theoretical derivation of two new graph-based regularization methods for fusing the individual results of multiple detectors (two-class ...
Oct 22, 2024 · This paper presents a theoretical derivation of two new graph-based regularization methods for fusing the individual results of multiple ...
Dec 27, 2023 · ABSTRACT This paper presents a theoretical derivation of two new graph-based regularization methods for fusing the individual results of ...
This paper presents a theoretical derivation of two new graph-based regularization methods for fusing the individual results of multiple detectors ...
Graph Regularization Methods in Soft Detector Fusion · Salazar, Addisson · Safont, Gonzalo · Vergara, Luis · Vidal, Enrique. Abstract.
Article "Graph Regularization Methods in Soft Detector Fusion" Detailed information of the J-GLOBAL is an information service managed by the Japan Science ...
We present a new method for fusing scores corresponding to different detectors (two-hypotheses case). It is based on alpha integration, which we have ...
Graph regularization is a flexible technique that drives solutions of optimization problems to have desired properties with respect to a graph. We incorporate ...
Missing: Soft | Show results with:Soft
Dec 30, 2022 · This paper proposes a two sensors decision fusion method for object classification based on the evidential reasoning rule.