Application of Information Retrieval Techniques to Single Writer Documents

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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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Application of Information Retrieval Techniques to Single Writer Documents

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Fast Low-Complexity Decoders for Low-Rate Polar Codes

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

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

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

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

Adaptive relevance feedback for large-scale image retrieval

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

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