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CHI
2011
ACM
14 years 10 months ago
Apolo: making sense of large network data by combining rich user interaction and machine learning
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
CIDM
2007
IEEE
16 years 21 days ago
A Prototype-driven Framework for Change Detection in Data Stream Classification
This paper presents a prototype-driven framework for classifying evolving data streams. Our framework uses cluster prototypes to summarize the data and to determine whether the cur...
Hamed Valizadegan, Pang-Ning Tan
IPPS
2003
IEEE
15 years 11 months ago
A General Framework for Searching in Distributed Data Repositories
This paper proposes a general framework for searching large distributed repositories. Examples of such repositories include sites with music/video content, distributed digital lib...
Spiridon Bakiras, Panos Kalnis, Thanasis Loukopoul...
AINA
2004
IEEE
15 years 10 months ago
m-Roam: A Service Invocation and Roaming Framework for Pervasive Computing
This paper proposes an architectural framework for integrating services within an enterprise and accessing them from mobile devices in a pervasive-computing environment. Present n...
Alvin Chin, Kostas Kontogiannis
ECCV
2008
Springer
16 years 8 months ago
The Bi-directional Framework for Unifying Parametric Image Alignment Approaches
In this paper, a generic bi-directional framework is proposed for parametric image alignment, that extends the classification of [1]. Four main categories (Forward, Inverse, Depend...
Jean-Baptiste Authesserre, Rémi Mégr...