4 citations · 6 across the 3 of their papers we have counts for
3 papers
FacEDiM: A Face Embedding Distribution Model for Few-Shot Biometric Authentication of Cattle
Meshia Cédric Oveneke, Rucha Vaishampayan, Deogratias Lukamba Nsadisa +1
This work proposes to solve the problem of few-shot biometric authentication by computing the Mahalanobis distance between testing embeddings and a multivariate Gaussian distributi…
On the Acceleration of Deep Neural Network Inference using Quantized Compressed Sensing
Meshia Cédric Oveneke
Accelerating deep neural network (DNN) inference on resource-limited devices is one of the most important barriers to ensuring a wider and more inclusive adoption. To alleviate thi…
Efficient Convolutional Auto-Encoding via Random Convexification and Frequency-Domain Minimization
Meshia Cédric Oveneke, Mitchel Aliosha-Perez, Yong Zhao +2
The omnipresence of deep learning architectures such as deep convolutional neural networks (CNN)s is fueled by the synergistic combination of ever-increasing labeled datasets and s…