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3DPVT
2004
IEEE
316views Visualization» more  3DPVT 2004»
15 years 9 months ago
A Statistical Method for Robust 3D Surface Reconstruction from Sparse Data
Abstract-General information about a class of objects, such as human faces or teeth, can help to solve the otherwise ill-posed problem of reconstructing a complete surface from spa...
Volker Blanz, Albert Mehl, Thomas Vetter, Hans-Pet...
ASWEC
2004
IEEE
15 years 9 months ago
ASPIRE: Automated Systematic Protocol Implementation Robustness Evaluation
Network protocol implementations are susceptible to problems caused by their lack of ability to handle invalid inputs. We present ASPIRE: Automated Systematic Protocol Implementat...
Arunchandar Vasan, Atif M. Memon
GECCO
2010
Springer
165views Optimization» more  GECCO 2010»
15 years 8 months ago
Evolving robust controller parameters using covariance matrix adaptation
In this paper, the advantages of introducing an additional amount of tests when evolving parameters for specific purposes is discussed. A set of optimal PID-controller parameters...
Gerulf K. M. Pedersen, Martin V. Butz
ATAL
2008
Springer
15 years 8 months ago
Robust and efficient plan recognition for dynamic multi-agent teams
This paper addresses the problem of plan recognition for multiagent teams. Complex multi-agent tasks typically require dynamic teams where the team membership changes over time. T...
Gita Sukthankar, Katia P. Sycara
NIPS
2008
15 years 7 months ago
Robust Kernel Principal Component Analysis
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
Minh Hoai Nguyen, Fernando De la Torre