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CGF
2005
84views more  CGF 2005»
15 years 3 months ago
Perceptual Evaluation of Impostor Representations for Virtual Humans and Buildings
In large-scale simulations involving complex scenes, such as cities inhabited by crowds, simplifications are almost always necessary to achieve interactive frame-rates. Level of D...
John Hamill, Rachel McDonnell, Simon Dobbyn, Carol...
116
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TROB
2008
123views more  TROB 2008»
15 years 3 months ago
iSAM: Incremental Smoothing and Mapping
We present incremental smoothing and mapping (iSAM), a novel approach to the simultaneous localization and mapping problem that is based on fast incremental matrix factorization. i...
Michael Kaess, Ananth Ranganathan, Frank Dellaert
128
Voted
TSMC
2008
146views more  TSMC 2008»
15 years 3 months ago
Decentralized Learning in Markov Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
Peter Vrancx, Katja Verbeeck, Ann Nowé
111
Voted
TSP
2008
89views more  TSP 2008»
15 years 3 months ago
The Kernel Least-Mean-Square Algorithm
The combination of the famed kernel trick and the least-mean-square (LMS) algorithm provides an interesting sample by sample update for an adaptive filter in reproducing Kernel Hil...
Weifeng Liu, Puskal P. Pokharel, Jose C. Principe
97
Voted
TSP
2008
90views more  TSP 2008»
15 years 3 months ago
Array-Based QR-RLS Multichannel Lattice Filtering
An array-based algorithm for multichannel lattice filtering is proposed. The filter is formed by a set of units that are adapted locally and concurrently using recursions that clos...
J. Gomes, V. A. N. Barroso