TY  - JOUR 
AU  - López Sánchez, Daniel
AU  - Corchado Rodríguez, Juan Manuel
AU  - González Arrieta, María Angélica
PY  - 2018
SN  - 0020-0255
UR  - http://hdl.handle.net/10366/145821
AB  - [EN] This paper presents a novel non-linear extension of the Random Projection method based on the degree-2 homogeneous polynomial kernel. Our algorithm is able to implicitly map data points to the high-dimensional feature space of that kernel and...
LA  - eng
KW  - Random Projection
KW  - Non-linear dimensionality reduction
KW  - Polynomial kernel
TI  - Data-independent Random Projections from the feature-map of the homogeneous polynomial kernel of degree two
DO  - 10.1016/j.ins.2018.01.022
T2  - Information Sciences
VL  - 436-437
M2  - 214
ER  -