Publications related to Standard Template Library

Learning Image Descriptors with Boosting

Vincent Lepetit, Tomasz Piotr Trzcinski, Christos Marios Christoudias

We propose a novel and general framework to learn compact but highly discriminative floating-point and binary local feature descriptors. By leveraging the boosting-trick we first show how to efficiently train a compact floating-point descriptor that is ver ...

Institute of Electrical and Electronics Engineers2015

Adaptive Prioritized Random Linear Coding and Scheduling for Layered Data Delivery from Multiple Servers

Pascal Frossard, Nikolaos Thomos, Eymen Kurdoglu

In this paper, we deal with the problem of jointly determining the optimal coding strategy and the scheduling decisions when receivers obtain layered data from multiple servers. The layered data is encoded by means of prioritized random linear coding (PRLC ...

Ieee-Inst Electrical Electronics Engineers Inc2015

BF-Tree: Approximate Tree Indexing

Anastasia Ailamaki, Manoussos Gavriil Athanassoulis

The increasing volume of time-based generated data and the shift in storage technologies suggest that we might need to reconsider indexing. Several workloads - like social and service monitoring - often include attributes with implicit clustering because o ...

2014

A C++11 implementation of arbitrary-rank tensors for high-performance computing

Alejandro Marcos Aragon

This article discusses an efficient implementation of tensors of arbitrary rank by using some of the idioms introduced by the recently published C++ ISO Standard (C++11). With the aims at providing a basic building block for high-performance computing, a s ...

Elsevier Science Bv2014

Addressing Conditioning Data in Multiple-Point Statistics Simulation Algorithms Based on a Multiple Grid Approach

Duccio Malinverni

Multiple-point statistics (MPS) allows simulations reproducing structures of a conceptual model given by a training image (TI) to be generated within a stochastic framework. In classical implementations, fixed search templates are used to retrieve the patt ...

Springer Heidelberg2014

On Lock-Free Work-stealing Iterators for Parallel Data Structures

Martin Odersky, Aleksandar Prokopec, Dmytro Petrashko

With the rise of multicores, there is a trend of supporting data-parallel collection operations in general purpose programming languages. These operations are highly parametric, incurring abstraction performance penalties. Furthermore, data-parallel operat ...

2014

Secure Computing with the MPEG RVC Framework

Marco Mattavelli, Richard Thavot, Junaid Jameel Ahmad

Recently, ISO/IEC standardized a dataflow-programming framework called Reconfigurable Video Coding (RVC) for the specification of video codecs. The RVC framework aims at providing the specification of a system at a high abstraction level so that the functi ...

Elsevier Science Bv2013

Decentralized list scheduling

Nicolas Gabriel Gast, Denis Trystram

Classical list scheduling is a very popular and efficient technique for scheduling jobs for parallel and distributed platforms. It is inherently centralized. However, with the increasing number of processors, the cost for managing a single centralized list ...

2013

Boosting Binary Keypoint Descriptors

Pascal Fua, Vincent Lepetit, Tomasz Piotr Trzcinski, Christos Marios Christoudias

Binary keypoint descriptors provide an efficient alternative to their floating-point competitors as they enable faster processing while requiring less memory. In this paper, we propose a novel framework to learn an extremely compact binary descriptor we ca ...

2013

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Standard Template Library

Learning Image Descriptors with Boosting

Quantitative single-cell analysis of S. cerevisiae using a microfluidic live-cell imaging platform

Adaptive Prioritized Random Linear Coding and Scheduling for Layered Data Delivery from Multiple Servers

BF-Tree: Approximate Tree Indexing

A C++11 implementation of arbitrary-rank tensors for high-performance computing

Addressing Conditioning Data in Multiple-Point Statistics Simulation Algorithms Based on a Multiple Grid Approach

On Lock-Free Work-stealing Iterators for Parallel Data Structures

Secure Computing with the MPEG RVC Framework

Decentralized list scheduling

Boosting Binary Keypoint Descriptors

Graph Chatbot

Chat with Graph Search

Adaptive Prioritized Random Linear Coding and Scheduling for Layered Data Delivery from Multiple Servers

On Lock-Free Work-stealing Iterators for Parallel Data Structures

Secure Computing with the MPEG RVC Framework

Decentralized list scheduling

Boosting Binary Keypoint Descriptors

Quantitative single-cell analysis of S. cerevisiae using a microfluidic live-cell imaging platform

Addressing Conditioning Data in Multiple-Point Statistics Simulation Algorithms Based on a Multiple Grid Approach

BF-Tree: Approximate Tree Indexing

A C++11 implementation of arbitrary-rank tensors for high-performance computing

Learning Image Descriptors with Boosting