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Bridging the Gap between Semantics and Multimedia Processing

Publications associées (32)

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Depth matching well logs acquired from multiple logging passes in a single well has been a longstanding challenge for the industry. The existing approaches employed in commercial platforms are typically based on classical cross-correlation and covariance m ...

SOC PETROPHYSICISTS & WELL LOG ANALYSTS-SPWLA2019

Artificial Neural Networks for Impact Position Detection in Haptic Surfaces

Yves Perriard, Paolo Germano, Camilo Hernandez Mejia

Recently, the interest in haptic feedback is growing thanks to its ability to enhance the interaction with Human Machine Interfaces (HMIs). This research project is exploring the potential of machine learning combined with piezoelectric actuators to genera ...

IEEE2019

A High-performance FPGA Architecture Using One-Level RRAM-based Multiplexers

Giovanni De Micheli, Pierre-Emmanuel Julien Marc Gaillardon, Xifan Tang

Resistive Random Access Memory (RRAM)-based routing multiplexers, built using a one-level structure, are significantly more delay efficient than state-of-art SRAM-based implementations thanks to their lower achievable on-state resistance. In addition, the ...

2017

Optimization Opportunities in RRAM-based FPGA Architectures

Giovanni De Micheli, Pierre-Emmanuel Julien Marc Gaillardon, Xifan Tang

Static Random Access Memory (SRAM)-based routing multiplexers, whatever structure is employed, share a common limitation: their area, delay and power increase linearly with the input size. This property results in most SRAM-based FPGA architectures ...

IEEE2017

QUANDO IL NORD INCONTRA LA «CHIAVE DI TUTTO». La Sicilia di Ragnar Östberg

Chiara Monterumisi

Travelling experiences along the cradle of European culture were, especially for Scandinavian architects, an outright voyage towards a contrasting cultural and geographical reality. However, assuming an unconditional fascination as natural reaction is redu ...

Letteraventidue2017

Graph-based Isometry Invariant Representation Learning

Pascal Frossard, Renata Khasanova

Learning transformation invariant representations of visual data is an important problem in computer vision. Deep convolutional networks have demonstrated remarkable results for image and video classification tasks. However, they have achieved only limited ...

2017

Parameterized Systems in BIP: Design and Model Checking

Joseph Sifakis, Simon Bliudze, Qiang Wang

BIP is a component-based framework for system design that has important industrial applications. BIP is built on three pillars: behavior, interaction, and priority. In this paper, we introduce first-order interaction logic (FOIL) that extends BIP to system ...

Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik2016

Modelling Architecture Styles

Anastasia Mavridou

Software systems tend to increase over time in size and complexity. Their development usually spans a long period of time and often results in systems that are hard to understand, debug and maintain. Architectures are common means for organising coordinati ...

EPFL2016

Combining UAV-imagery and machine learning for wildlife conservation

Semi-arid savannas are endangered by changes in the fragile equilibrium between rainfalls, fires and grazing pressure exerted by wildlife or cattle. To avoid bush encroachment and the decline of perennial grass, land managers must pay attention to keep the ...

2016

Event-driven Human Based Evolutionary Knowledge Base for Smart Buildings

Maher Kayal, Nastaran Asadi Zanjani

This paper presents an approach to automatically create a knowledge base for smart buildings and let it dynamically evolve based on the behaviors of the occupants inside. Such a knowledge base compromises all life-style experiences and intelligent building ...

Ieee2016