most citedDomain Adaptation with Soft-margin multiple feature-kernel learning beats Deep Learning for surveillance face recognition

5 citations · 5 across the 2 of their papers we have counts for

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cs.CV2016★ 5 cited

Domain Adaptation with Soft-margin multiple feature-kernel learning beats Deep Learning for surveillance face recognition

Samik Banerjee, Sukhendu Das

Face recognition (FR) is the most preferred mode for biometric-based surveillance, due to its passive nature of detecting subjects, amongst all different types of biometric traits.…

cs.CV2016

Kernel Selection using Multiple Kernel Learning and Domain Adaptation in Reproducing Kernel Hilbert Space, for Face Recognition under Surveillance Scenario

Samik Banerjee, Sukhendu Das

Face Recognition (FR) has been the interest to several researchers over the past few decades due to its passive nature of biometric authentication. Despite high accuracy achieved b…