Publications associées à Segmentation (informatique)

Rachid Guerraoui, Aleksandar Dragojevic, Mihail Igor Zablotchi, Tudor Alexandru David

Non-volatile RAM (NVRAM) makes it possible for data structures to tolerate transient failures, assuming however that programmers have designed these structures such that their consistency is preserved upon recovery. Previous approaches are typically transa ...

USENIX ASSOC2018

dhSegment: A generic deep-learning approach for document segmentation

Frédéric Kaplan, Sofia Ares Oliveira, Benoît Laurent Auguste Seguin

In recent years there have been multiple successful attempts tackling document processing problems separately by designing task specific hand-tuned strategies. We argue that the diversity of historical document processing tasks prohibits to solve them one ...

IEEE2018

T-RECS: A Virtual Commissioning Tool for Software-Based Control of Electric Grids – Design, Validation, and Operation

Jean-Yves Le Boudec, Lorenzo Enrique Reyes Chamorro, Wajeb Saab, Roman Rudnik, Jagdish Prasad Achara

In real-time control of electric grids using multiple software agents, the control performance depends on (1) the proper functioning of the software agents, i.e., absence of software faults, and (2) the behavior of software agents in the presence of non-id ...

ACM2018

BLOCK: Efficient Execution of Spatial Range Queries in Main-Memory

Anastasia Ailamaki, Thomas Heinis, Farhan Tauheed, Matthaios Alexandros Olma

The execution of spatial range queries is at the core of many applications, particularly in the simulation sciences but also in many other domains. Although main memory in desktop and supercomputers alike has grown considerably in recent years, most spatia ...

2017

BLOCK: Efficient Execution of Spatial Range Queries in Main-Memory

Anastasia Ailamaki, Thomas Heinis, Farhan Tauheed, Matthaios Alexandros Olma

ACM New York, NY, USA2017

Analysis, Optimization, and Modeling of Analog Multi-Tone Serial Data Transceivers

Yusuf Leblebici, Gain Kim, Kiarash Gharibdoust

This paper presents a versatile and fast time-domain architectural modeling framework for high-speed serial data transceivers (TRX) that can employ various analog modulation schemes. We highlight a modeling of TRXs employing an analog multi-tone signaling, ...

2017

Crowding asymmetries explained by a model of image segmentation

Michael Herzog, Gregory Francis, Adrien Christophe Doerig, Alban Bornet

In crowding, perception of a target deteriorates when neighboring flankers are presented. Flankers close to the fovea deteriorate performance less strongly than flankers presented peripherally, the well-known crowding asymmetries. For example, we presented ...

2017

Designing a Virtual Runtime for FPGA Accelerators in the Cloud

Paolo Ienne, Mikhail Asiatici, Nithin George

FPGAs can provide high performance and energy efficiency to many applications; therefore, they are attractive computing platforms in a cloud environment. However, FPGA application development requires extensive hardware design knowledge which significantly ...

Ieee2016

Learning to Refine Object Segments

Ronan Collobert, Pedro Henrique Oliveira Pinheiro

Object segmentation requires both object-level information and low-level pixel data. This presents a challenge for feedforward networks: lower layers in convolutional nets capture rich spatial information, while upper layers encode object-level knowledge b ...

Springer2016

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Segmentation (informatique)

Log-Free Concurrent Data Structures

dhSegment: A generic deep-learning approach for document segmentation

T-RECS: A Virtual Commissioning Tool for Software-Based Control of Electric Grids – Design, Validation, and Operation

Near-Memory Address Translation

BLOCK: Efficient Execution of Spatial Range Queries in Main-Memory

BLOCK: Efficient Execution of Spatial Range Queries in Main-Memory

Analysis, Optimization, and Modeling of Analog Multi-Tone Serial Data Transceivers

Crowding asymmetries explained by a model of image segmentation

Designing a Virtual Runtime for FPGA Accelerators in the Cloud

Learning to Refine Object Segments

Graph Chatbot

Chattez avec Graph Search

Log-Free Concurrent Data Structures

dhSegment: A generic deep-learning approach for document segmentation

BLOCK: Efficient Execution of Spatial Range Queries in Main-Memory

T-RECS: A Virtual Commissioning Tool for Software-Based Control of Electric Grids – Design, Validation, and Operation

Near-Memory Address Translation

BLOCK: Efficient Execution of Spatial Range Queries in Main-Memory

Analysis, Optimization, and Modeling of Analog Multi-Tone Serial Data Transceivers

Designing a Virtual Runtime for FPGA Accelerators in the Cloud

Learning to Refine Object Segments

Crowding asymmetries explained by a model of image segmentation