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FGR
2004
IEEE
133views Biometrics» more  FGR 2004»
15 years 1 months ago
Finding Temporal Patterns by Data Decomposition
We present a new unsupervised learning technique for the discovery of temporal clusters in large data sets. Our method performs hierarchical decomposition of the data to find stru...
David C. Minnen, Christopher Richard Wren
KDD
1999
ACM
185views Data Mining» more  KDD 1999»
15 years 1 months ago
User-Driven Navigation Pattern Discovery from Internet Data
Managers of electronic commerce sites need to learn as much as possible about their customers and those browsing their virtual premises, in order to maximise the return on marketin...
Matthias Baumgarten, Alex G. Büchner, Sarabjo...
SAC
2008
ACM
14 years 9 months ago
Privacy-preserving link discovery
Abstract. Link discovery is a process of identifying association(s) among different entities included in a complex network structure. These association(s) may represent any interac...
Xiaoyun He, Basit Shafiq, Jaideep Vaidya, Nabil R....
HRI
2006
ACM
15 years 3 months ago
FOCUS: a generalized method for object discovery for robots that observe and interact with humans
The essence of the signal-to-symbol problem consists of associating a symbolic description of an object (e.g., a chair) to a signal (e.g., an image) that captures the real object....
Manuela M. Veloso, Paul E. Rybski, Felix von Hunde...
67
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DIS
1998
Springer
15 years 1 months ago
Development of SDS2: Smart Discovery System for Simultaneous Equation Systems
SDS2 is a system to discover and identify the quantitative model consisting of simultaneous equations re ecting the rst principles underlying the objective process through experi...
Takashi Washio, Hiroshi Motoda