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GECCO
1999
Springer
158views Optimization» more  GECCO 1999»
15 years 10 months ago
Coevolutionary Genetic Algorithms for Solving Dynamic Constraint Satisfaction Problems
In this paper, we discuss the adaptability of Coevolutionary Genetic Algorithms on dynamic environments. Our CGA consists of two populations: solution-level one and schema-level o...
Hisashi Handa, Osamu Katai, Tadataka Konishi, Mits...
ICCVW
1999
Springer
15 years 10 months ago
Bundle Adjustment - A Modern Synthesis
This paper is a survey of the theory and methods of photogrammetric bundle adjustment, aimed at potential implementors in the computer vision community. Bundle adjustment is the p...
Bill Triggs, Philip F. McLauchlan, Richard I. Hart...
ACML
2009
Springer
15 years 10 months ago
Max-margin Multiple-Instance Learning via Semidefinite Programming
In this paper, we present a novel semidefinite programming approach for multiple-instance learning. We first formulate the multipleinstance learning as a combinatorial maximum marg...
Yuhong Guo
SG
2010
Springer
15 years 10 months ago
Accurately Measuring the Satisfaction of Visual Properties in Virtual Camera Control
Declarative approaches to camera control model inputs as properties on the camera and then rely on constraint-based and/or optimization techniques to compute the camera parameters ...
Roberto Ranon, Marc Christie, Tommaso Urli
ASAP
2004
IEEE
171views Hardware» more  ASAP 2004»
15 years 10 months ago
CHARMED: A Multi-Objective Co-Synthesis Framework for Multi-Mode Embedded Systems
In this paper, we present a modular co-synthesis framework called CHARMED that solves the problem of hardware-software co-synthesis of periodic, multi-mode, distributed, embedded ...
Vida Kianzad, Shuvra S. Bhattacharyya