Abstract:
Face reorganization to be one of the biggest challengers to the machine learning community Over three
decades of extensive research has been earned out in this field by many researchers. In spite of many
face recognition methods developed. Research on novel methods are needed m fulfill need of modern
application//
In the recent past kernel methods have teen successful!) applied to FACE recognition. We
present a novel approach in face recognition with informative vector a machine a sparse gauss ion tor
process kernel classifier. Experiments with the ORL . face database shows that recognition
accuracies both these algorithms to be comparable . but informative vector machine . we also found
that using automatic relevance determination kernel which with informative vector machine pan ides .1
novel approach lo dimension reduction is feature space. Overall. both sparse solution and
dimension reduction* with informative vector machine reduces the storage space and
computational cost while achieving a recognition accuracy close to supports vector machines.
