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» Algorithms for the Sample Mean of Graphs
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AAAI
2010
15 years 6 months ago
g-Planner: Real-time Motion Planning and Global Navigation using GPUs
We present novel randomized algorithms for solving global motion planning problems that exploit the computational capabilities of many-core GPUs. Our approach uses thread and data...
Jia Pan, Christian Lauterbach, Dinesh Manocha
JMLR
2010
367views more  JMLR 2010»
14 years 11 months ago
Locally Linear Denoising on Image Manifolds
We study the problem of image denoising where images are assumed to be samples from low dimensional (sub)manifolds. We propose the algorithm of locally linear denoising. The algor...
Dian Gong, Fei Sha, Gérard G. Medioni
CORR
2008
Springer
125views Education» more  CORR 2008»
15 years 4 months ago
Data Reduction in Intrusion Alert Correlation
: Network intrusion detection sensors are usually built around low level models of network traffic. This means that their output is of a similarly low level and as a consequence, ...
Gianni Tedesco, Uwe Aickelin
KDD
2008
ACM
165views Data Mining» more  KDD 2008»
16 years 4 months ago
Colibri: fast mining of large static and dynamic graphs
Low-rank approximations of the adjacency matrix of a graph are essential in finding patterns (such as communities) and detecting anomalies. Additionally, it is desirable to track ...
Hanghang Tong, Spiros Papadimitriou, Jimeng Sun, P...
ICML
2008
IEEE
16 years 5 months ago
Graph transduction via alternating minimization
Graph transduction methods label input data by learning a classification function that is regularized to exhibit smoothness along a graph over labeled and unlabeled samples. In pr...
Jun Wang, Tony Jebara, Shih-Fu Chang