Sciweavers

7150 search results - page 381 / 1430
» An Approximation Algorithm for Approximation Rank
Sort
View
DLOG
2009
15 years 4 months ago
Soundness Preserving Approximation for TBox Reasoning in R
Abstract. TBox reasoning in description logics is hard. For example, reasoning in SROIQ (i.e. OWL2-DL) is N2EXPTIME-complete; even with R, a fragment of SROIQ supporting ALC GCIs a...
Yuan Ren, Jeff Z. Pan, Yuting Zhao
TNN
2010
176views Management» more  TNN 2010»
15 years 1 months ago
Sparse approximation through boosting for learning large scale kernel machines
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Ping Sun, Xin Yao
CVPR
2010
IEEE
14 years 4 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu
IPMI
2005
Springer
16 years 7 months ago
Approximating Anatomical Brain Connectivity with Diffusion Tensor MRI Using Kernel-Based Diffusion Simulations
We present a new technique for noninvasively tracing brain white matter fiber tracts using diffusion tensor magnetic resonance imaging (DT-MRI). This technique is based on performi...
Jun Zhang, Ning Kang, Stephen E. Rose
ICML
2008
IEEE
16 years 7 months ago
ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning
We introduce a boosting framework to solve a classification problem with added manifold and ambient regularization costs. It allows for a natural extension of boosting into both s...
Nicolas Loeff, David A. Forsyth, Deepak Ramachandr...