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EDBT
2004
ACM
145views Database» more  EDBT 2004»
14 years 9 months ago
CUBE File: A File Structure for Hierarchically Clustered OLAP Cubes
Abstract. Hierarchical clustering has been proved an effective means for physically organizing large fact tables since it reduces significantly the I/O cost during ad hoc OLAP quer...
Nikos Karayannidis, Timos K. Sellis, Yannis Kouvar...
ICASSP
2011
IEEE
13 years 1 months ago
Nonparametric Bayesian feature selection for multi-task learning
We present a nonparametric Bayesian model for multi-task learning, with a focus on feature selection in binary classification. The model jointly identifies groups of similar tas...
Hui Li, Xuejun Liao, Lawrence Carin
PAMI
2011
13 years 4 months ago
Greedy Learning of Binary Latent Trees
—Inferring latent structures from observations helps to model and possibly also understand underlying data generating processes. A rich class of latent structures are the latent ...
Stefan Harmeling, Christopher K. I. Williams
AAAI
2007
13 years 12 months ago
Macroscopic Models of Clique Tree Growth for Bayesian Networks
In clique tree clustering, inference consists of propagation in a clique tree compiled from a Bayesian network. In this paper, we develop an analytical approach to characterizing ...
Ole J. Mengshoel
ICMCS
2009
IEEE
219views Multimedia» more  ICMCS 2009»
13 years 7 months ago
Moving targets labeling and correspondence over multi-camera surveillance system based on Markov network
In this paper, we propose an efficient way to simultaneously label and map targets over a multi-camera surveillance system. In the system, we first fuse the detection results from...
Chingchun Huang, Sheng-Jyh Wang