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Application of Information Retrieval Techniques to Single Writer Documents

Publications associées (29)

Fast Low-Complexity Decoders for Low-Rate Polar Codes

Alexios Konstantinos Balatsoukas Stimming, Pascal Giard

Polar codes are capacity-achieving error-correcting codes with an explicit construction that can be decoded with low-complexity algorithms. In this work, we show how the state-of-the-art low-complexity decoding algorithm can be improved to better accommoda ...

2018

Comparison of Polar Decoders with Existing Low-Density Parity-Check and Turbo Decoders

Andreas Peter Burg, Alexios Konstantinos Balatsoukas Stimming, Pascal Giard

Polar codes are a recently proposed family of provably capacity-achieving error-correction codes that received a lot of attention. While their theoretical properties render them interesting, their practicality compared to other types of codes has not been ...

Ieee2017

High-Speed Wireline Link Design

Hazar Yüksel

High-speed serial links are a crucial application of semiconductor technology and have been the enabler of the scaling of computing systems. The increasing data-rate requirements of these links have only been partially satisfied by advancements in process ...

EPFL2017

Low-rank and Sparse Soft Targets to Learn Better DNN Acoustic Models

Hervé Bourlard, Afsaneh Asaei, Pranay Dighe

Conventional deep neural networks (DNN) for speech acoustic modeling rely on Gaussian mixture models (GMM) and hidden Markov model (HMM) to obtain binary class labels as the targets for DNN training. Subword classes in speech recognition systems correspond ...

Ieee2017

Limits on Support Recovery With Probabilistic Models: An Information-Theoretic Framework

Volkan Cevher, Jonathan Mark Scarlett

The support recovery problem consists of determining a sparse subset of a set of variables that is relevant in generating a set of observations, and arises in a diverse range of settings, such as compressive sensing, subset selection in regression, and gro ...

Institute of Electrical and Electronics Engineers2017

PolarBear: A 28-nm FD-SOI ASIC for Decoding of Polar Codes

Andreas Peter Burg, Alexios Konstantinos Balatsoukas Stimming, Andrea Bonetti, Thomas Christoph Müller, Pascal Giard

Polar codes are a recently proposed class of block codes that provably achieve the capacity of various communication channels. They received a lot of attention as they can do so with low-complexity encoding and decoding algorithms, and they have an explici ...

2017

Adaptive relevance feedback for large-scale image retrieval

François Fleuret, Nicolae Suditu

Content-based image retrieval aims at substituting traditional indexing based on manual annotation by using automatically-extracted visual indexing features. Novel techniques are needed however to efficiently deal with the semantic gap (i.e. the partial ma ...

2016

A Cache-Assisted Scratchpad Memory for Multiple-Bit-Error Correction

Nooshin Sadat Mirzadeh, Hossein Asadi

Scratchpad memory (SPM) is widely used in modern embedded processors to overcome the limitations of cache memory. The high vulnerability of SPM to soft errors, however, limits its usage in safety-critical applications. This paper proposes an efficient faul ...

Ieee-Inst Electrical Electronics Engineers Inc2016

Energy vs. Reliability Trade-offs Exploration in Biomedical Ultra-Low Power Devices

David Atienza Alonso, Pablo Garcia del Valle, Andreas Peter Burg, Loris Gérard Duch, Shrikanth Ganapathy

State-of-the-art wearable devices such as embedded biomedical monitoring systems apply voltage scaling to lower as much as possible their energy consumption and achieve longer battery lifetimes. While embedded memories often rely on Error Correction Codes ...

Ieee2016