Dimche Kostadinov

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Privacy-Preserving Near Neighbor Search via Sparse Coding with Ambiguation

In this paper, we propose a framework for privacy-preserving approximate...
02/08/2021 ∙ by Behrooz Razeghi, et al. ∙ 0 ∙ share

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

Event-based cameras record an asynchronous stream of per-pixel brightnes...
09/23/2020 ∙ by Dimche Kostadinov, et al. ∙ 42 ∙ share

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Online Weight-adaptive Nonlinear Model Predictive Control

Nonlinear Model Predictive Control (NMPC) is a powerful and widely used ...
08/06/2020 ∙ by Dimche Kostadinov, et al. ∙ 0 ∙ share

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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...
01/31/2019 ∙ by Dimche Kostadinov, et al. ∙ 0 ∙ share

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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 ...
01/30/2019 ∙ by Dimche Kostadinov, et al. ∙ 0 ∙ share

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

We propose a new computationally efficient privacy-preserving identifica...
06/07/2018 ∙ by Behrooz Razeghi, et al. ∙ 0 ∙ share

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Network Learning with Local Propagation

This paper presents a locally decoupled network parameter learning with ...
05/20/2018 ∙ by Dimche Kostadinov, et al. ∙ 0 ∙ share

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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...
10/31/2017 ∙ by Sohrab Ferdowsi, et al. ∙ 0 ∙ share

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Privacy Preserving Identification Using Sparse Approximation with Ambiguization

In this paper, we consider a privacy preserving encoding framework for i...
09/29/2017 ∙ by Behrooz Razeghi, et al. ∙ 0 ∙ share

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

A learning-based framework for representation of domain-specific images ...
07/07/2017 ∙ by Sohrab Ferdowsi, et al. ∙ 0 ∙ share

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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...
01/26/2017 ∙ by Sohrab Ferdowsi, et al. ∙ 0 ∙ share

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Sparse Multi-layer Image Approximation: Facial Image Compression

We propose a scheme for multi-layer representation of images. The proble...
06/12/2015 ∙ by Sohrab Ferdowsi, et al. ∙ 0 ∙ share

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