Search Results for author:
Found 11 papers, 4 papers with code
Classification of hierarchical text using geometric deep learning: the case of clinical trials corpus
We consider the hierarchical representation of documents as graphs and use geometric deep learning to classify them into different categories.
Privacy-Preserving Near Neighbor Search via Sparse Coding with Ambiguation
In this paper, we propose a framework for privacy-preserving approximate near neighbor search via stochastic sparsifying encoding.
Privacy-Preserving Image Sharing via Sparsifying Layers on Convolutional Groups
We propose a practical framework to address the problem of privacy-aware image sharing in large-scale setups.
$ρ$-VAE: Autoregressive parametrization of the VAE encoder
We make a minimal, but very effective alteration to the VAE model.
Learning to compress and search visual data in large-scale systems
The problem of high-dimensional and large-scale representation of visual data is addressed from an unsupervised learning perspective.
Network Learning with Local Propagation
This paper presents a locally decoupled network parameter learning with local propagation.
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) for fast similarity search where we focus on the reconstruction of the database vectors from the ternary codes.
A multi-layer image representation using Regularized Residual Quantization: application to compression and denoising
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.
Regularized Residual Quantization: a multi-layer sparse dictionary learning approach
Furthermore, we also propose a general-purpose pre-processing for natural images which makes them suitable for such quantization.
Sparse Ternary Codes for similarity search have higher coding gain than dense binary codes
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 speed-up the similarity search in large-scale databases.
Sparse Multi-layer Image Approximation: Facial Image Compression
We propose a scheme for multi-layer representation of images.
