no code implementations • CVPR 2014 • Symeon Nikitidis, Stefanos Zafeiriou, Maja Pantic
A key problem often encountered by many learning algorithms in computer vision dealing with high dimensional data is the so called "curse of dimensionality" which arises when the available training samples are less than the input feature space dimensionality.