4 citations · 10 across the 13 of their papers we have counts for
5 papers · 1 filter
A multi-layer network based on Sparse Ternary Codes for universal vector compression
Sohrab Ferdowsi, Slava Voloshynovskiy, Dimche Kostadinov
We present the multi-layer extension of the Sparse Ternary Codes (STC) for fast similarity search where we focus on the reconstruction of the database vectors from the ternary code…
Privacy Preserving Identification Using Sparse Approximation with Ambiguization
Behrooz Razeghi, Slava Voloshynovskiy, Dimche Kostadinov +1
In this paper, we consider a privacy preserving encoding framework for identification applications covering biometrics, physical object security and the Internet of Things (IoT). T…
A multi-layer image representation using Regularized Residual Quantization: application to compression and denoising
Sohrab Ferdowsi, Slava Voloshynovskiy, Dimche Kostadinov
A learning-based framework for representation of domain-specific images is proposed where joint compression and denoising can be done using a VQ-based multi-layer network. While it…
Regularized Residual Quantization: a multi-layer sparse dictionary learning approach
Sohrab Ferdowsi, Slava Voloshynovskiy, Dimche Kostadinov
The Residual Quantization (RQ) framework is revisited where the quantization distortion is being successively reduced in multi-layers. Inspired by the reverse-water-filling paradig…
Sparse Ternary Codes for similarity search have higher coding gain than dense binary codes
Sohrab Ferdowsi, Slava Voloshynovskiy, Dimche Kostadinov +1
This paper addresses the problem of Approximate Nearest Neighbor (ANN) search in pattern recognition where feature vectors in a database are encoded as compact codes in order to sp…