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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...
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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...
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Online Weight-adaptive Nonlinear Model Predictive Control
Nonlinear Model Predictive Control (NMPC) is a powerful and widely used ...
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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...
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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 ...
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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...
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Network Learning with Local Propagation
This paper presents a locally decoupled network parameter learning with ...
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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...
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Privacy Preserving Identification Using Sparse Approximation with Ambiguization
In this paper, we consider a privacy preserving encoding framework for i...
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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 ...
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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...
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Sparse Multi-layer Image Approximation: Facial Image Compression
We propose a scheme for multi-layer representation of images. The proble...
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