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» Reformulating Constraint Models Using Input Data
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141
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CIKM
2006
Springer
15 years 6 months ago
Adaptive non-linear clustering in data streams
Data stream clustering has emerged as a challenging and interesting problem over the past few years. Due to the evolving nature, and one-pass restriction imposed by the data strea...
Ankur Jain, Zhihua Zhang, Edward Y. Chang
117
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NIPS
2001
15 years 4 months ago
Fast, Large-Scale Transformation-Invariant Clustering
In previous work on "transformed mixtures of Gaussians" and "transformed hidden Markov models", we showed how the EM algorithm in a discrete latent variable mo...
Brendan J. Frey, Nebojsa Jojic
125
Voted
AIPR
2003
IEEE
15 years 6 months ago
Sensor and Classifier Fusion for Outdoor Obstacle Detection: an Application of Data Fusion To Autonomous Off-Road Navigation
This paper describes an approach for using several levels of data fusion in the domain of autonomous off-road navigation. We are focusing on outdoor obstacle detection, and we pre...
Cristian Dima, Nicolas Vandapel, Martial Hebert
118
Voted
IJIG
2002
138views more  IJIG 2002»
15 years 2 months ago
A Practical Approach for 3D Building Modeling from Uncalibrated Video Sequences
This paper presents an approach for reconstructing a realistic 3D model of a building from its uncalibrated video sequences taken by a hand-held camera. The novelty of this approa...
Yong Liu, Chengke Wu, Hung-Tat Tsui
119
Voted
3DPVT
2002
IEEE
108views Visualization» more  3DPVT 2002»
15 years 7 months ago
Probabilistic 3D Data Fusion for Adaptive Resolution Surface Generation
In this paper we present an algorithm for adaptive resolution integration of 3D data collected from multiple distributed sensors. The input to the algorithm is a set of 3D surface...
Andrew E. Johnson, Roberto Manduchi