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GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
15 years 2 months ago
Introducing MONEDA: scalable multiobjective optimization with a neural estimation of distribution algorithm
In this paper we explore the model–building issue of multiobjective optimization estimation of distribution algorithms. We argue that model–building has some characteristics t...
Luis Martí, Jesús García, Ant...
PERVASIVE
2006
Springer
15 years 1 months ago
Scalability in a Secure Distributed Proof System
Abstract. A logic-based language is often adopted in systems for pervasive computing, because it provides a convenient way to define rules that change the behavior of the systems d...
Kazuhiro Minami, David Kotz
TIP
2008
144views more  TIP 2008»
15 years 1 months ago
Minimization of Region-Scalable Fitting Energy for Image Segmentation
Intensity inhomogeneities often occur in real-world images and may cause considerable difficulties in image segmentation. In order to overcome the difficulties caused by intensity ...
Chunming Li, Chiu-Yen Kao, John C. Gore, Zhaohua D...
PVLDB
2008
163views more  PVLDB 2008»
15 years 1 months ago
AlvisP2P: scalable peer-to-peer text retrieval in a structured P2P network
In this paper we present the AlvisP2P IR engine, which enables efficient retrieval with multi-keyword queries from a global document collection available in a P2P network. In such...
Toan Luu, Gleb Skobeltsyn, Fabius Klemm, Maroje Pu...
ISVC
2010
Springer
14 years 11 months ago
Split Bregman Method for Minimization of Region-Scalable Fitting Energy for Image Segmentation
Abstract. In this paper, we incorporated the global convex segmentation method and the split Bregman technique into the region-scalable fitting energy model. The new proposed metho...
Yunyun Yang, Chunming Li, Chiu-Yen Kao, Stanley Os...