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Data-Driven Objectness

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015
We propose a data-driven approach to estimate the likelihood that an image segment corresponds to a scene object (its "objectness") by comparing it to a large collection of example object regions. We demonstrate that when the application domain is known, for example, in our case activity of daily living (ADL), we can capture the regularity of the ...
Hongwen Kang   +3 more
openaire   +2 more sources

Data‐Driven Dialectology

Language and Linguistics Compass, 2009
Abstract Most studies of language variation proceed from the geographic or social distribution of single elements (features), and find it difficult to proceed further. Data‐driven dialectology, and more generally, data‐driven variationist studies, begin instead from an aggregate view of language variation and reap immediate benefits ...
openaire   +2 more sources

The Data-Driven Society

Scientific American, 2013
The article discusses the world's data-driven societies. Topics include why a unique approach to uniquely 21st-century problems, such as rapid urban growth, is needed, the role of big data in dealing with these problems, the digital records people leave behind, and the author's research using data analytics to study the link between the flow of ideas ...
openaire   +2 more sources

D³ Data-Driven Documents

IEEE Transactions on Visualization and Computer Graphics, 2011
Data-Driven Documents (D3) is a novel representation-transparent approach to visualization for the web. Rather than hide the underlying scenegraph within a toolkit-specific abstraction, D3 enables direct inspection and manipulation of a native representation: the standard document object model (DOM).
Michael Bostock   +2 more
openaire   +2 more sources

Data Driven Evaluation of Crowds

2009
There are various techniques for simulating crowds, however, in most cases the quality of the simulation is measured by examining its "look-and-feel". Even if the aggregate movement of the crowd looks natural from afar, the behaviors of individuals might look odd when examined more closely. In this paper we present a data-driven approach for evaluating
Lerner, A.   +7 more
openaire   +2 more sources

Data-driven constructive induction

IEEE Intelligent Systems, 1998
An inductive learning program's ability to find an accurate hypothesis can depend on the quality of the representation space. The authors have developed a data-driven constructive-induction method that uses multiple operators to improve the representation space. They have applied it to two real-world problems.
Bloedorn, Eric, Michalski, Ryszard S.
openaire   +1 more source

Data-driven Simulation

2022 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2022
openaire   +2 more sources

Data-Driven Marketing

Electronic Markets, 1998
Maurice D. Mulvenna   +2 more
openaire   +1 more source

Hybrid physics-based and data-driven models for smart manufacturing: Modelling, simulation, and explainability

Journal of Manufacturing Systems, 2022
Jinjiang Wang, Yilin Li, Robert X Gao
exaly  

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