Dimche Kostadinov | DeepAI

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∙ 12/07/2021

Saliency Diversified Deep Ensemble for Robustness to Adversaries

Deep learning models have shown incredible performance on numerous image...

18 Alex Bogun, et al. ∙

∙ 10/28/2021

Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction

Self-Supervised Learning (SSL) has been shown to learn useful and inform...

6 Konstantin Schürholt, et al. ∙

∙ 10/27/2021

Zero-shot Voice Conversion via Self-supervised Prosody Representation Learning

Voice Conversion (VC) for unseen speakers, also known as zero-shot VC, i...

5 Shijun Wang, et al. ∙

∙ 02/08/2021

Privacy-Preserving Near Neighbor Search via Sparse Coding with Ambiguation

In this paper, we propose a framework for privacy-preserving approximate...

0 Behrooz Razeghi, et al. ∙

∙ 09/23/2020

Unsupervised Feature Learning for Event Data: Direct vs Inverse Problem Formulation

Event-based cameras record an asynchronous stream of per-pixel brightnes...

42 Dimche Kostadinov, et al. ∙

∙ 08/06/2020

Online Weight-adaptive Nonlinear Model Predictive Control

Nonlinear Model Predictive Control (NMPC) is a powerful and widely used ...

0 Dimche Kostadinov, et al. ∙

∙ 01/31/2019

Network Parameter Learning Using Nonlinear Transforms, Local Representation Goals and Local Propagation Constraints

In this paper, we introduce a novel concept for learning of the paramete...

0 Dimche Kostadinov, et al. ∙

∙ 01/30/2019

Clustering with Jointly Learned Nonlinear Transforms Over Discriminating Min-Max Similarity/Dissimilarity Assignment

This paper presents a novel clustering concept that is based on jointly ...

0 Dimche Kostadinov, et al. ∙

∙ 06/07/2018

Privacy-Preserving Identification via Layered Sparse Code Design: Distributed Servers and Multiple Access Authorization

We propose a new computationally efficient privacy-preserving identifica...

0 Behrooz Razeghi, et al. ∙

∙ 05/20/2018

Network Learning with Local Propagation

This paper presents a locally decoupled network parameter learning with ...

0 Dimche Kostadinov, et al. ∙

∙ 10/31/2017

A multi-layer network based on Sparse Ternary Codes for universal vector compression

We present the multi-layer extension of the Sparse Ternary Codes (STC) f...

0 Sohrab Ferdowsi, et al. ∙

∙ 09/29/2017

Privacy Preserving Identification Using Sparse Approximation with Ambiguization

In this paper, we consider a privacy preserving encoding framework for i...

0 Behrooz Razeghi, et al. ∙

∙ 07/07/2017

A multi-layer image representation using Regularized Residual Quantization: application to compression and denoising

A learning-based framework for representation of domain-specific images ...

0 Sohrab Ferdowsi, et al. ∙

∙ 01/26/2017

Sparse Ternary Codes for similarity search have higher coding gain than dense binary codes

This paper addresses the problem of Approximate Nearest Neighbor (ANN) s...

0 Sohrab Ferdowsi, et al. ∙

∙ 06/12/2015

Sparse Multi-layer Image Approximation: Facial Image Compression

We propose a scheme for multi-layer representation of images. The proble...

0 Sohrab Ferdowsi, et al. ∙

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