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» Optimizing efficiency of perturbative Monte Carlo method
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IPMI
2003
Springer
15 years 2 months ago
Ideal-Observer Performance under Signal and Background Uncertainty
We use the performance of the Bayesian ideal observer as a figure of merit for hardware optimization because this observer makes optimal use of signal-detection information. Due t...
Subok Park, Matthew A. Kupinski, Eric Clarkson, Ha...
87
Voted
GECCO
2010
Springer
207views Optimization» more  GECCO 2010»
15 years 2 months ago
Generalized crowding for genetic algorithms
Crowding is a technique used in genetic algorithms to preserve diversity in the population and to prevent premature convergence to local optima. It consists of pairing each offsp...
Severino F. Galán, Ole J. Mengshoel
ESA
2008
Springer
96views Algorithms» more  ESA 2008»
14 years 11 months ago
Stabbing Convex Polygons with a Segment or a Polygon
Let O = {O1, . . . , Om} be a set of m convex polygons in R2 with a total of n vertices, and let B be another convex k-gon. A placement of B, any congruent copy of B (without refle...
Pankaj K. Agarwal, Danny Z. Chen, Shashidhara K. G...
ICDE
2008
IEEE
563views Database» more  ICDE 2008»
16 years 9 months ago
Probabilistic Verifiers: Evaluating Constrained Nearest-Neighbor Queries over Uncertain Data
In applications like location-based services, sensor monitoring and biological databases, the values of the database items are inherently uncertain in nature. An important query fo...
Reynold Cheng, Jinchuan Chen, Mohamed F. Mokbel, C...
TOG
2008
140views more  TOG 2008»
14 years 9 months ago
Multidimensional adaptive sampling and reconstruction for ray tracing
We present a new adaptive sampling strategy for ray tracing. Our technique is specifically designed to handle multidimensional sample domains, and it is well suited for efficientl...
Toshiya Hachisuka, Wojciech Jarosz, Richard Peter ...