Concept

Class (computer programming)

Related publications (89)

Jet: An Embedded DSL for High Performance Big Data Processing

Martin Odersky, Tiark Rompf, Vojin Jovanovic, Stefan Ackermann

Cluster computing systems today impose a trade-off between generality, performance and productivity. Hadoop and Dryad force programmers to write low level programs that are tedious to compose but easy to optimize. Systems like Dryad/LINQ and Spark allow co ...

2012

Deformable shape models for 2D object segmentation

Robin Thandiackal

Given a set of images showing individual 2D instances of an object class, the goal is to learn object class deformation in 2D for segmentation automatically. Class deformation is modelled by linear combinations of basis shapes. Usually, given segmentation ...

2011

Speculative Linearizability

Rachid Guerraoui, Viktor Kuncak, Giuliano Losa

Linearizability is a key design methodology for reasoning about implementations of concurrent abstract data types in both shared memory and message passing systems. It provides the illusion that operations execute sequentially and fault-free, despite the a ...

2011

Vehicle recognition from multi-spectral and LiDAR elevation data with object-oriented analysis

André-Gilles Dumont, Sofia Samoili

This research study addresses issues of transport modeling aiming to the recognition of vehicles, with perspective to generate a knowledge base for an automatic recognition of vehicles from similar type of data. Based on two datasets consisted of multi-spe ...

2011

Online Testing of Federated and Heterogeneous Distributed Systems

Dejan Novakovic, Dejan Kostic, Marco Canini, Vojin Jovanovic

DiCE is a system for online testing of federated and heterogeneous distributed systems. We have built a prototype of DiCE and integrated it with a BGP router. DiCE quickly detects three important classes of faults, resulting from configuration mistakes, po ...

2011

Robust Duplicate Detection of 2D and 3D Objects

Touradj Ebrahimi, Jong Seok Lee, Lutz Goldmann, Ivan Ivanov, Péter Vajda

In this paper, we analyze our graph-based approach for 2D and 3D object duplicate detection in still images. A graph model is used to represent the 3D spatial information of the object based on the features extracted from training images so that an explici ...

2010

Composing Relaxed Transactions

Rachid Guerraoui, Vincent Gramoli, Mihai Letia

As the classical transactional abstraction is sometimes considered too restrictive in leveraging parallelism, a lot of work has been devoted to devising relaxed transactional models with the goal of improving concurrency. Nevertheless, the quest for improv ...

2010

Decremental state space relaxation strategies and initialization heuristics for solving the orienteering problem with time windows with dynamic programming

Matteo Salani

We present an exact optimization algorithm for the Orienteering Problem with Time Windows (OPTW). The algorithm is based on bi-directional and bounded dynamic programming with decremental state space relaxation. We compare different strategies proposed in ...

2009

Capabilities for External Uniqueness

Martin Odersky, Philipp Haller

Unique object references have many important applications in object-oriented programming. For instance, with sufficient encapsulation properties they enable safe and efficient transfer of message objects between concurrent processes. However, it is a long- ...

2009

Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree

Hynek Hermansky, Jie Luo

Unexpected stimuli are a challenge to any machine learning algorithm. Here we identify distinct types of unexpected events, focusing on ’incongruent events’ - when ’general level’ and ’specific level’ classifiers give conflicting predictions. We define a f ...

2008

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.