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» Hierarchical approximation and localization
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AIPS
2003
15 years 6 months ago
Localizing Planning with Functional Process Models
In this paper we describe a compromise between generative planning and special-purpose software. Hierarchical functional models are used by an intelligent system to represent its ...
J. William Murdock, Ashok K. Goel
SODA
2008
ACM
156views Algorithms» more  SODA 2008»
15 years 6 months ago
Approximating TSP on metrics with bounded global growth
The Traveling Salesman Problem (TSP) is a canonical NP-complete problem which is known to be MAXSNP hard even on Euclidean metrics (of high dimensions) [40]. In order to circumven...
T.-H. Hubert Chan, Anupam Gupta
WSC
2004
15 years 6 months ago
Stochastic Approximation with Simulated Annealing as an Approach to Global Discrete-Event Simulation Optimization
This paper explores an approach to global, stochastic, simulation optimization which combines stochastic approximation (SA) with simulated annealing (SAN). SA directs a search of ...
Matthew H. Jones, K. Preston White
143
Voted
SIAMSC
2010
155views more  SIAMSC 2010»
14 years 11 months ago
Quasi-Newton Methods on Grassmannians and Multilinear Approximations of Tensors
In this paper we proposed quasi-Newton and limited memory quasi-Newton methods for objective functions defined on Grassmannians or a product of Grassmannians. Specifically we defin...
Berkant Savas, Lek-Heng Lim
144
Voted
RSS
2007
173views Robotics» more  RSS 2007»
15 years 6 months ago
Mapping Large Loops with a Single Hand-Held Camera
— This paper presents a method for Simultaneous Localization and Mapping (SLAM), relying on a monocular camera as the only sensor, which is able to build outdoor, closed-loop map...
Laura A. Clemente, Andrew J. Davison, Ian D. Reid,...