TY  - JOUR 
AU  - López Sánchez, Daniel
AU  - González Arrieta, María Angélica
AU  - Corchado Rodríguez, Juan Manuel
PY  - 2018
SN  - 0031-3203
UR  - http://hdl.handle.net/10366/157256
AB  - [EN]Performing a Random Projection from the feature space associated to a kernel function may be impor- tant for two main reasons. As a consequence of the Johnson–Lindestrauss lemma, the resulting low- dimensional representation will preserve most of...
LA  - eng
PB  - Elsevier
KW  - Random Projection
KW  - Homogeneous polynomial kernel
KW  - Nonlinear dimensionality reduction
TI  - Data-independent Random Projections from the feature-space of the homogeneous polynomial kernel.
DO  - 10.1016/j.patcog.2018.05.003.
T2  - Pattern Recognition
VL  - 82
M2  - 130
ER  -