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Publications associées (14)

Towards super resolution in the compressed domain of learning-based image codecs

Touradj Ebrahimi, Evgeniy Upenik, Michela Testolina

Learning-based image coding has shown promising results during recent years. Unlike the traditional approaches to image compression, learning-based codecs exploit deep neural networks for reducing dimensionality of the input at the stage where a linear tra ...

SPIE2021

Joint Fusion Learning of Multiple Time Series Prediction

Orçun Gümüs

Accurate traffic density estimations is essential for numerous purposes like the developing successful transit policies or to forecast future traffic conditions for navigation. Current developments in the machine learning and computer systems bring the tra ...

2019

Multiple Tab-and-Slot Joint : Improvement of the Rotational Stiffness for the Connection of Thin Structural Wood Panels

Yves Weinand, Julien Gamerro, Stéphane Nicolas Roche

Researchers in Asia have focused on analyzing the rotational performance of traditional connections based on embedment. The Nuki through-joint has inspired work at the laboratory of wood construction (IBOIS), Ecole Polytechnique Fédérale de Lausanne, to im ...

World Conference on Timber Engineering2016

An Evaluation of Model-Based Approaches to Sensor Data Compression

Karl Aberer, Quoc Viet Hung Nguyen, Ho Young Jeung

As the volumes of sensor data being accumulated are likely to soar, data compression has become essential in a wide range of sensor-data applications. This has led to a plethora of data compression techniques for sensor data, in particular model-based appr ...

Institute of Electrical and Electronics Engineers2013

Compression of Multispectral Images: Color (RGB) plus Near-Infrared (NIR)

Sabine Süsstrunk, Zahra Sadeghipoor Kermani, Neda Salamati

We propose a compression framework for four-channel images, composed of color (RGB) and near-infrared (NIR) channels, which exploits the correlation between the visible and the NIR information. The high-frequency components of both visible and NIR scene re ...

Ieee2012

Design and Analysis of Multi-Block-Length Hash Functions

Onur Özen

Cryptographic hash functions are used in many cryptographic applications, and the design of provably secure hash functions (relative to various security notions) is an active area of research. Most of the currently existing hash functions use the Merkle-Da ...

EPFL2012

Evaluation and Design Exploration of Solar Harvested-Energy Prediction Algorithm

David Atienza Alonso

To respond to variations in solar energy, harvestedenergy prediction is essential to harvested-energy management approaches. The effectiveness of such approaches is dependent on both the achievable accuracy and computation overhead of prediction algorithm ...

ACM/IEEE Press2010

An ASIC implementation of adaptive arithmetic coding

Andreas Peter Burg

In this work, we present an improved version of an ASIC implementation of the adaptive arithmetic coding algorithm which uses a two-level memory hierarchy. We propose algorithmic modifications and a special hardware structure to speed-up the design without ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2002

Static compression is associated with decreased diffusivity of dextrans in cartilage explants

Jean-Jacques Meister, Philippe Kocian

The chondrocytes of adult articular cartilage rely upon transport phenomena within their avascular extracellular matrix for many biological activities. Therefore, changes in matrix structure which influence cytokine transport parameters may be an important ...

Elsevier2001

A time-domain feedback analysis of filtered-error adaptive gradient algorithms

Ali H. Sayed

This paper provides a time-domain feedback analysis of gradient-based adaptive schemes. A key emphasis is on the robustness performance of the adaptive filters in the presence of disturbances and modeling uncertainties (along the lines of H/sup /spl infin/ ...

Institute of Electrical and Electronics Engineers1996

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