Concept

Hachage universel

Publications associées (53)

Phonetic and Phonological Posterior Search Space Hashing Exploiting Class-Specific Sparsity Structures

Hervé Bourlard, Milos Cernak, Afsaneh Asaei

This paper shows that exemplar-based speech processing using class-conditional posterior probabilities admits a highly effective search strategy relying on posteriors' intrinsic sparsity structures. The posterior probabilities are estimated for phonetic an ...

Idiap2016

Efficient Posterior Exemplar Search Space Hashing Exploiting Class-Specific Sparsity Structures

Hervé Bourlard, Milos Cernak, Afsaneh Asaei

2016

Method for determining the walsh-hadamard transform of n samples of a signal and apparatus for performing the same

Martin Vetterli, Robin Scheibler, Saeid Haghighatshoar

A computer-implemented method for determining the Walsh-Hadamard transform of N samples of a signal, comprises electing a plurality of hashing C matrices Σ1, . . . ΣC, computing C hashes of a particular length based at least on a hashing front end and the ...

2015

Learning Image Descriptors with Boosting

Vincent Lepetit, Tomasz Piotr Trzcinski, Christos Marios Christoudias

We propose a novel and general framework to learn compact but highly discriminative floating-point and binary local feature descriptors. By leveraging the boosting-trick we first show how to efficiently train a compact floating-point descriptor that is ver ...

Institute of Electrical and Electronics Engineers2015

Improved Masking for Tweakable Blockciphers with Applications to Authenticated Encryption

Robert Granger, Philipp Svetolik Jovanovic

A popular approach to tweakable blockcipher design is via masking, where a certain primitive (a blockcipher or a permutation) is preceded and followed by an easy-to-compute tweak-dependent mask. In this work, we revisit the principle of masking. We do so a ...

2015

Efficient Recursive Diffusion Layers for Block Ciphers, and Hash Functions

Pouyan Sepehrdad

Many modern block ciphers use maximum distance separable (MDS) matrices as the main part of their diffusion layers. In this paper, we propose a very efficient new class of diffusion layers constructed from several rounds of Feistel-like structures whose ro ...

Springer2015

Boosting Binary Keypoint Descriptors

Pascal Fua, Vincent Lepetit, Tomasz Piotr Trzcinski, Christos Marios Christoudias

Binary keypoint descriptors provide an efficient alternative to their floating-point competitors as they enable faster processing while requiring less memory. In this paper, we propose a novel framework to learn an extremely compact binary descriptor we ca ...

2013

STM in the Small: Trading Generality for Performance in Software Transactional Memory

Aleksandar Dragojevic

Data structures implemented using software transactional memory (STM) have a reputation for being much slower than data structures implemented directly from low-level primitives such as atomic compare-and-swap (CAS). In this paper we present a specialized ...

2012

Efficient Hashing Using the AES Instruction Set

Joppe Willem Bos, Martijn Stam, Onur Özen

In this work, we provide a software benchmark for a large range of 256-bit blockcipher-based hash functions. We instantiate the underlying blockcipher with AES, which allows us to exploit the recent AES instruction set (AESNI). Since AES itself only output ...

Springer Berlin Heidelberg2011

Grassmann Hashing For Approximate Nearest Neighbor Search In High Dimensional Space

Lei Zhang, Xinchao Wang

Locality-Sensitive Hashing (LSH) approximates nearest neighbors in high dimensions by projecting original data into low-dimensional subspaces. The basic idea is to hash data samples to ensure that the probability of collision is much higher for samples tha ...

Ieee2011

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