Concept

Classful network

Related publications (12)

Evaluating the effect of sparse convolutions on point cloud compression

The use of point clouds as an imaging modality has been rapidly growing, motivating research on compression methods to enable efficient transmission and storage for many applications. While compression standards relying on conven- tional techniques such as ...

2023

Triple Crossed Flexure Pivot Based on a Zero Parasitic Center Shift Kinematic Design

Simon Nessim Henein, Etienne Frédéric Gabriel Thalmann

Thanks to their absence of play, absence of contact friction and possible monolithic fabrication, flexure pivots offer advantages over traditional bearings in small-scale, high accuracy applications and environments where lubrication and wear debris are pr ...

2022

Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching.

François Fleuret, Anton Ivanov, Stepan Tulyakov

End-to-end deep-learning networks recently demonstrated extremely good performance for stereo matching. However, existing networks are difficult to use for practical applications since (1) they are memory-hungry and unable to process even modest-size image ...

NEURAL INFORMATION PROCESSING SYSTEMS (NIPS)2018

A Location-Privacy Threat Stemming from the Use of Shared Public IP Addresses

Jean-Pierre Hubaux, Kévin Clément Huguenin, Nevena Vratonjic, Vincent Bindschaedler

This paper presents a concrete and widespread example of situation where a user’s location privacy is unintentionally compromised by others, specifically the location-privacy threat that exists at access points (public hotspots, FON, home routers, etc.) th ...

Ieee Computer Soc2014

Broadcasting and Multicasting Nested Message Sets

Shirin Saeedi Bidokhti

Finding theoretical limits on the performance of communication systems and designing schemes to achieve them is one of the fundamental questions in information theory. While the theory of point-to-point communication is well-investigated, most problems hav ...

EPFL2012

Recovery of the default mode network after demanding neurofeedback training occurs in spatio-temporally segregated subnetworks

Dimitri Nestor Alice Van De Ville, Rotem Roza Kopel

The default mode (DM) network is a major large-scale cerebral network that can be identified with functional magnetic resonance imaging (fMRI) during resting state. Most studies consider functional connectivity networks as stationary phenomena. Consequentl ...

Elsevier2012

Algebraic techniques for deterministic networks

Christina Fragouli, Javad Ebrahimi Boroojeni

We here summarize some recent advances in the study of linear deterministic networks, recently proposed as approximations for wireless channels. This work started by extending the algebraic framework developed for multicasting over graphs in [1] to include ...

2010

Uncovering the topology of configuration space networks

Paolo De Los Rios, David Gfeller, David Sébastien Morton de Lachapelle

The configuration space network (CSN) of a dynamical system is an effective approach to represent the ensemble of configurations sampled during a simulation and their dynamic connectivity. To elucidate the connection between the CSN topology and the underl ...

2007

A buffer-sizing Algorithm for Networks on Chip using TDMA and credit-based end-to-end Flow Control

Giovanni De Micheli, Srinivasan Murali

When designing a System-on-Chip (SoC) using a Network-on- Chip (NoC), silicon area and power consumption are two key elements to optimize. A dominant part of the NoC area and power consumption is due to the buffers in the Network Interfaces (NIs) needed to ...

2006

A flow-based model for Internet backbone traffic

Patrick Thiran

We model traffic on an uncongested backbone link of an IP network using Poisson Shot-noise process and M/G/

\infty

queue. We validate the model by simulation. We analyze the model accuracy with real traffic traces collected on the Sprint IP backbone netwo ...

2001

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A flow-based model for Internet backbone traffic

Patrick Thiran

We model traffic on an uncongested backbone link of an IP network using Poisson Shot-noise process and M/G/

\infty

queue. We validate the model by simulation. We analyze the model accuracy with real traffic traces collected on the Sprint IP backbone netwo ...

2001