175 search results - page 7 / 35 » Sampling with incremental mapreduce |
AAAI
2006
14 years 9 days ago
2006
We present a new algorithm, called incremental least squares policy iteration (ILSPI), for finding the infinite-horizon stationary policy for partially observable Markov decision ...
PR
2007
13 years 10 months ago
2007
In this paper, we propose a robust incremental learning framework for accurate skin region segmentation in real-life images. The proposed framework is able to automatically learn ...
CVPR
2008
IEEE
15 years 27 days ago
2008
IEEE
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...
ICCV
2007
IEEE
15 years 25 days ago
2007
IEEE
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
Nonnegative matrix factorization (NMF) has been shown to be an efficient clustering tool. However, NMF`s batch nature necessitates recomputation of whole basis set for new samples...