1 citations · 1 across the 3 of their papers we have counts for
3 papers
Unsupervised Feature Learning for Event Data: Direct vs Inverse Problem Formulation
Dimche Kostadinov, Davide Scaramuzza
Event-based cameras record an asynchronous stream of per-pixel brightness changes. As such, they have numerous advantages over the standard frame-based cameras, including high temp…
Network Parameter Learning Using Nonlinear Transforms, Local Representation Goals and Local Propagation Constraints
Dimche Kostadinov, Behrooz Razdehi, Slava Voloshynovskiy
In this paper, we introduce a novel concept for learning of the parameters in a neural network. Our idea is grounded on modeling a learning problem that addresses a trade-off betwe…
Clustering with Jointly Learned Nonlinear Transforms Over Discriminating Min-Max Similarity/Dissimilarity Assignment
Dimche Kostadinov, Behrooz Razeghi, Taras Holotyak +1
This paper presents a novel clustering concept that is based on jointly learned nonlinear transforms (NTs) with priors on the information loss and the discrimination. We introduce…