Rate-Regularization and Generalization in VAEs
Variational autoencoders (VAEs) optimize an objective that comprises a reconstruction loss (the distortion) and a KL term (the rate). The rate is an upper bound on the mutual …
Detection of the DEJ and Segmentation of Its Morphological Patterns in RCM Images of Melanocytic Skin Lesions
The dermo-epidermal junction (DEJ) is a key anatomical boundary in skin that is clinically important for diagnosing melanocytic lesions using reflectance confocal microscopy (RCM). …
kivanc-kose
Structured Disentagled Representations
Deep latent-variable models learn representations of high-dimensional data in an unsupervised manner. A number of recent efforts have focused on learning representations that …
babak-esmaeili
Can VAEs generate novel examples?
An implicit goal in works on deep generative models is that such models should be able to generate novel examples that were not previously seen in the training data. In this paper, …
A Multiresolution Convolutional Neural Network with Partial Label Training for Annotating Reflectance Confocal Microscopy Images of Skin
We describe a new multiresolution 'nested encoder-decoder' convolutional network architecture and use it to annotate morphological patterns in reflectance confocal microscopy (RCM) …
Delineation of Skin Strata in Reflectance Confocal Microscopy Images With Recurrent Convolutional Networks
Reflectance confocal microscopy (RCM) is an effective, non-invasive pre-screening tool for cancer diagnosis. However, acquiring and reading RCM images requires extensive training …
Delineation of Skin Strata in Reflectance Confocal Microscopy Images using Recurrent Convolutional Networks with Toeplitz Attention
Reflectance confocal microscopy (RCM) is an effective, non-invasive pre-screening tool for skin cancer diagnosis, but it requires extensive training and experience to assess …
Deconvolution using projections onto the epigraph set of a convex cost function
A new deconvolution algorithm based on making orthogonal projections onto the epigraph set of a convex cost function is presented. In this algorithm, the dimension of the …
mohamed-tofighi
Projections onto convex sets (POCS) based optimization by lifting
A new optimization technique based on the projections onto convex space (POCS) framework for solving convex and some non-convex optimization problems are presented. The dimension …
a.-enis-cetin