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SSDBM
2003
IEEE
136views Database» more  SSDBM 2003»
15 years 3 months ago
Acceleration of Relational Index Structures Based on Statistics
Relational index structures, as for instance the Relational Interval Tree, the Relational R-Tree, or the Linear Quadtree, support efficient processing of queries on top of existin...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
93
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WINET
2010
88views more  WINET 2010»
14 years 8 months ago
Tree-based object tracking without mobility statistics in wireless sensor networks
Object tracking in wireless sensor networks is to track mobile objects by scattered sensors. These sensors are typically organized into a tree to deliver report messages upon dete...
Li-Hsing Yen, Bang Ye Wu, Chia-Cheng Yang
93
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EMNLP
2008
14 years 11 months ago
Lattice-based Minimum Error Rate Training for Statistical Machine Translation
Minimum Error Rate Training (MERT) is an effective means to estimate the feature function weights of a linear model such that an automated evaluation criterion for measuring syste...
Wolfgang Macherey, Franz Josef Och, Ignacio Thayer...
71
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ICAI
2007
14 years 11 months ago
Dynamic Programming Algorithm for Training Functional Networks
Abstract— The paper proposes a dynamic programming algorithm for training of functional networks. The algorithm considers each node as a state. The problem is formulated as find...
Emad A. El-Sebakhy, Salahadin Mohammed, Moustafa E...
IJCV
2000
93views more  IJCV 2000»
14 years 9 months ago
How Optimal Depth Cue Integration Depends on the Task
Bayesian parameter estimation can be used to generate statistically optimal solutions to the problem of cue integration. However, the complexity and dimensionality of these solutio...
Paul R. Schrater, Daniel Kersten