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191
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FOCS
2006
IEEE
16 years 1 months ago
On the Optimality of the Dimensionality Reduction Method
We investigate the optimality of (1+ )-approximation algorithms obtained via the dimensionality reduction method. We show that: • Any data structure for the (1 + )-approximate n...
Alexandr Andoni, Piotr Indyk, Mihai Patrascu
187
Voted
IJCNN
2006
IEEE
16 years 1 months ago
Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP
— Cellular simultaneous recurrent neural network has been suggested to be a function approximator more powerful than the MLP’s, in particular for solving approximate dynamic pr...
Roman Ilin, Robert Kozma, Paul J. Werbos
212
Voted
CP
2004
Springer
16 years 21 days ago
Counting-Based Look-Ahead Schemes for Constraint Satisfaction
Abstract. The paper presents a new look-ahead scheme for backtracking search for solving constraint satisfaction problems. This look-ahead scheme computes a heuristic for value ord...
Kalev Kask, Rina Dechter, Vibhav Gogate
170
Voted
SWAT
2004
Springer
109views Algorithms» more  SWAT 2004»
16 years 19 days ago
Robust Subgraphs for Trees and Paths
Consider a graph problem which is associated with a parameter, for example, that of finding a longest tour spanning k vertices. The following question is natural: Is there a smal...
Refael Hassin, Danny Segev
305
Voted
VISUALIZATION
2002
IEEE
16 years 6 days ago
Efficient Simplification of Point-Sampled Surfaces
In this paper we introduce, analyze and quantitatively compare a number of surface simplification methods for point-sampled geometry. We have implemented incremental and hierarchi...
Mark Pauly, Markus H. Gross, Leif Kobbelt