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SIAMSC
2008
147views more  SIAMSC 2008»
13 years 7 months ago
Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs
We present a two-phase algorithm for solving large-scale quadratic programs (QPs). In the first phase, gradient-projection iterations approximately minimize an augmented Lagrangian...
Michael P. Friedlander, Sven Leyffer
AI
2003
Springer
14 years 29 days ago
A Graph Based Backtracking Algorithm for Solving General CSPs
Many AI tasks can be formalized as constraint satisfaction problems (CSPs), which involve finding values for variables subject to constraints. While solving a CSP is an NP-complet...
Wanlin Pang, Scott D. Goodwin
JUCS
2010
265views more  JUCS 2010»
13 years 6 months ago
A General Framework for Multi-Human Tracking using Kalman Filter and Fast Mean Shift Algorithms
: The task of reliable detection and tracking of multiple objects becomes highly complex for crowded scenarios. In this paper, a robust framework is presented for multi-Human track...
Ahmed Ali, Kenji Terada
ISI
2005
Springer
14 years 1 months ago
Filtering, Fusion and Dynamic Information Presentation: Towards a General Information Firewall
Intelligence analysts are flooded with massive amounts of data from a multitude of sources and in many formats. From this raw data they attempt to gain insight that will provide de...
Gregory J. Conti, Mustaque Ahamad, Robert Norback
ICASSP
2011
IEEE
12 years 11 months ago
Adjustable bandwidth filter design with generalized farrow structure
Digital filters with adjustable bandwidth(s) are generally desirable in many applications like audio processing and telecommunication. This paper proposes a generalized Farrow st...
Chenchi Luo, James H. McClellan