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ICVS
2009
Springer
14 years 7 months ago
Boosting with a Joint Feature Pool from Different Sensors
This paper introduces a new way to apply boosting to a joint feature pool from different sensors, namely 3D range data and color vision. The combination of sensors strengthens the ...
Dominik Alexander Klein, Dirk Schulz, Simone Frint...
IS
2008
14 years 9 months ago
Efficient mining of frequent episodes from complex sequences
Discovering patterns with highly significance is an important problem in data mining discipline. An episode is defined to be a partially ordered set of events for a consecutive an...
Kuo-Yu Huang, Chia-Hui Chang
ICDM
2009
IEEE
138views Data Mining» more  ICDM 2009»
14 years 7 months ago
Accurate Discovery of Valid Convoys from Moving Object Trajectories
Given a set of moving object trajectories, it is of interest to find a group of objects, called a convoy, that are spatially density-connected for a certain duration of time. Howev...
Hyunjin Yoon, Cyrus Shahabi
ICDE
2010
IEEE
226views Database» more  ICDE 2010»
15 years 9 months ago
Approximation Trade-Offs in Markovian Stream Processing: An Empirical Study
Abstract-- A large amount of the world's data is both sequential and imprecise. Such data is commonly modeled as Markovian streams; examples include words/sentences inferred f...
Julie Letchner, Christopher Re, Magdalena Balazins...
ICIP
1998
IEEE
15 years 11 months ago
Invariant-based Data Model for Image Databases
We describe a new invariant-based data model for image databases under our approach for shape-based retrieval. The data model relies on contours description of the image shape, an...
Michael Kliot, Ehud Rivlin