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GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
13 years 8 months ago
Multiobjective robustness for portfolio optimization in volatile environments
Multiobjective methods are ideal for evolving a set of portfolio optimisation solutions that span a range from highreturn/high-risk to low-return/low-risk, and an investor can cho...
Ghada Hassan, Christopher D. Clack
DAGM
2006
Springer
13 years 11 months ago
On-Line, Incremental Learning of a Robust Active Shape Model
Abstract. Active Shape Models are commonly used to recognize and locate different aspects of known rigid objects. However, they require an off-line learning stage, such that the ex...
Michael Fussenegger, Peter M. Roth, Horst Bischof,...
ECCV
2002
Springer
14 years 9 months ago
Fusion of Multiple Tracking Algorithms for Robust People Tracking
This paper shows how the output of a number of detection and tracking algorithms can be fused to achieve robust tracking of people in an indoor environment. The new tracking system...
Nils T. Siebel, Stephen J. Maybank
AROBOTS
2004
119views more  AROBOTS 2004»
13 years 7 months ago
Swarm-Bot: A New Distributed Robotic Concept
The swarm intelligence paradigm has proven to have very interesting properties such as robustness, flexibility and ability to solve complex problems exploiting parallelism and self...
Francesco Mondada, Giovanni C. Pettinaro, Andr&eac...
ICCV
2007
IEEE
14 years 9 months ago
Robust Visual Tracking Using the Time-Reversibility Constraint
Visual tracking is a very important front-end to many vision applications. We present a new framework for robust visual tracking in this paper. Instead of just looking forward in ...
Hao Wu, Rama Chellappa, Aswin C. Sankaranarayanan,...