title: Feed-forward support vector machine without multipliers.
abstract: In this letter, we propose a coordinate rotation digital computer (CORDIC)-like algorithm for computing the feed-forward phase of a support vector machine (SVM) in fixed-point arithmetic, using only shift and add operations and avoiding resource-consuming multiplications. This result is obtained thanks to a hardware-friendly kernel, which greatly simplifies the SVM feed-forward phase computation and, at the same time, maintains good classification performance respect to the conventional Gaussian kernel.
authors.forename: Davide
authors.initials: D
authors.lastname: Anguita
authors.forename: Stefano
authors.initials: S
authors.lastname: Pischiutta
authors.forename: Sandro
authors.initials: S
authors.lastname: Ridella
authors.forename: Dario
authors.initials: D
authors.lastname: Sterpi
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D016000:Cluster Analysis; D003205:Computing Methodologies; D016571:Neural Networks, Computer; D010363:Pattern Recognition, Automated / Q000379:methods*