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AAAI
2008
15 years 8 months ago
Structure Learning on Large Scale Common Sense Statistical Models of Human State
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
William Pentney, Matthai Philipose, Jeff A. Bilmes
CVIU
2010
138views more  CVIU 2010»
15 years 6 months ago
Probabilistic structure matching for visual SLAM with a multi-camera rig
We propose to use a multi-camera rig for simultaneous localization and mapping (SLAM), providing flexibility in sensor placement on mobile robot platforms while exploiting the str...
Michael Kaess, Frank Dellaert
ICASSP
2011
IEEE
14 years 10 months ago
A clustering based framework for dictionary block structure identification
Sparse representations over redundant dictionaries offer an efficient paradigm for signal representation. Recently block-sparsity has been put forward as a prior condition for so...
Ender M. Eksioglu
RIVF
2007
15 years 8 months ago
Forgetting data intelligently in data warehouses
— The amount of data stored in data warehouses grows very quickly so that they can get saturated. To overcome this problem, we propose a language for specifying forgetting functi...
Aliou Boly, Georges Hébrail
CGF
2002
116views more  CGF 2002»
15 years 6 months ago
Deferred, Self-Organizing BSP Trees
BSP trees and KD trees are fundamental data structures for collision detection in walkthrough environments. A basic issue in the construction of these hierarchical data structures...
Sigal Ar, Gil Montag, Ayellet Tal