5 citations · 10 across the 5 of their papers we have counts for
5 papers
Skeletonization of neuronal processes using Discrete Morse techniques from computational topology
Samik Banerjee, Caleb Stam, Daniel J. Tward +3
To understand biological intelligence we need to map neuronal networks in vertebrate brains. Mapping mesoscale neural circuitry is done using injections of tracers that label group…
Detection and skeletonization of single neurons and tracer injections using topological methods
Dingkang Wang, Lucas Magee, Bing-Xing Huo +8
Neuroscientific data analysis has traditionally relied on linear algebra and stochastic process theory. However, the tree-like shapes of neurons cannot be described easily as point…
SD-GAN: Structural and Denoising GAN reveals facial parts under occlusion
Samik Banerjee, Sukhendu Das
Certain facial parts are salient (unique) in appearance, which substantially contribute to the holistic recognition of a subject. Occlusion of these salient parts deteriorates the…
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.…
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…