Publications related to Memory segmentation

Lausanne Historical Censuses Dataset HTR 35k

Lucas Arnaud André Rappo, Rémi Guillaume Petitpierre, Marion Kramer

This training dataset includes a total of 34,913 manually transcribed text segments. It is dedicated to the handwritten text recognition (HTR) of historical sources, typically tabular records, such as censuses. This dataset is based on a sample of 83 pages ...

Zenodo2023

1805-1898 Census Records of Lausanne : a Long Digital Dataset for Demographic History

Isabella Di Lenardo, Lucas Arnaud André Rappo, Rémi Guillaume Petitpierre, Marion Kramer

This historical dataset stems from the project of automatic extraction of 72 census records of Lausanne, Switzerland. The complete dataset covers a century of historical demography in Lausanne (1805-1898), which corresponds to 18,831 pages, and nearly 6 mi ...

Zenodo2023

An end-to-end pipeline for historical censuses processing

Lucas Arnaud André Rappo, Rémi Guillaume Petitpierre, Marion Kramer

Censuses are structured documents of great value for social and demographic history, which became widespread from the nineteenth century on. However, the plurality of formats and the natural variability of historical data make their extraction arduous and ...

2023

HPCache: memory-efficient OLAP through proportional caching revisited

Anastasia Ailamaki, Periklis Chrysogelos, Hamish Mcniece Hill Nicholson

Analytical engines rely on in-memory data caching to avoid storage accesses and provide timely responses by keeping the most frequently accessed data in memory. Purely frequency- and time-based caching decisions, however, are a proxy of the expected query ...

New York2023

Method for reading and writing unreliable memories and a corresponding memory controller device and memory

Andreas Peter Burg, Reza Ghanaatian Jahromi

A method of accessing a memory space of a memory device with a decoder, the memory space having faults, including the steps of performing a memory access operation by an electronic device to a access a logical memory space of the memory device, and randomi ...

2022

Object Priors for Volumetric Image Segmentation

Pamuditha Udaranga Wickramasinghe

Large training datasets have played a vital role in the success of modern deep learning methods in computer vision. But, obtaining sufficient amount of training data is challenging, specially when annotating volumetric images. This is because fully annotat ...

EPFL2022

Dynamic Probabilistic Pruning: A General Framework for Hardware-Constrained Pruning at Different Granularities

Alexandre Schmid, Lizeth Gonzalez Carabarin

Unstructured neural network pruning algorithms have achieved impressive compression ratios. However, the resulting-typically irregular-sparse matrices hamper efficient hardware implementations, leading to additional memory usage and complex control logic t ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

HPCache: Memory-Efficient OLAP Through Proportional Caching

Anastasia Ailamaki, Periklis Chrysogelos, Hamish Mcniece Hill Nicholson

Analytical engines rely on in-memory caching to avoid disk accesses and provide timely responses by keeping the most frequently accessed data in memory. Purely frequency- & time-based caching decisions, however, are a proxy of the expected query execution ...

ACM2022

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Memory segmentation

Lausanne Historical Censuses Dataset HTR 35k

1805-1898 Census Records of Lausanne : a Long Digital Dataset for Demographic History

An end-to-end pipeline for historical censuses processing

HPCache: memory-efficient OLAP through proportional caching revisited

impresso Text Reuse at Scale. An interface for the exploration of text reuse data in semantically enriched historical newspapers

Affordance segmentation of hand-occluded containers from exocentric images

Method for reading and writing unreliable memories and a corresponding memory controller device and memory

Object Priors for Volumetric Image Segmentation

Dynamic Probabilistic Pruning: A General Framework for Hardware-Constrained Pruning at Different Granularities

HPCache: Memory-Efficient OLAP Through Proportional Caching

Graph Chatbot

Chat with Graph Search

An end-to-end pipeline for historical censuses processing

Method for reading and writing unreliable memories and a corresponding memory controller device and memory

Affordance segmentation of hand-occluded containers from exocentric images

impresso Text Reuse at Scale. An interface for the exploration of text reuse data in semantically enriched historical newspapers

Dynamic Probabilistic Pruning: A General Framework for Hardware-Constrained Pruning at Different Granularities

HPCache: Memory-Efficient OLAP Through Proportional Caching

1805-1898 Census Records of Lausanne : a Long Digital Dataset for Demographic History

Lausanne Historical Censuses Dataset HTR 35k

HPCache: memory-efficient OLAP through proportional caching revisited

Object Priors for Volumetric Image Segmentation