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ECCV
2008
Springer
16 years 8 months ago
Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion
Abstract. We describe a new method for unsupervised structure learning of a hierarchical compositional model (HCM) for deformable objects. The learning is unsupervised in the sense...
Long Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, A...
MOBIHOC
2005
ACM
16 years 6 months ago
Scalable location services for hierarchically organized mobile ad hoc networks
This paper proposes a location service to assist location-based routing protocols, realized through a novel Associativity-Based clustering protocol. The main goal of our scheme, w...
Siva Sivavakeesar, George Pavlou
GECCO
2008
Springer
182views Optimization» more  GECCO 2008»
15 years 7 months ago
Scaling ant colony optimization with hierarchical reinforcement learning partitioning
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
Erik J. Dries, Gilbert L. Peterson
AIRS
2006
Springer
15 years 10 months ago
A Novel Ant-Based Clustering Approach for Document Clustering
Recently, much research has been proposed using nature inspired algorithms to perform complex machine learning tasks. Ant Colony Optimization (ACO) is one such algorithm based on s...
Yulan He, Siu Cheung Hui, Yongxiang Sim
P2P
2002
IEEE
103views Communications» more  P2P 2002»
15 years 11 months ago
Towards a Hierarchical, Semantic Peer-to-Peer Topology
We propose a new p2p network topology that reduces bandwidth consumption and provides complete searches by employing a tree hierarchy of indexing nodes that facilitates the search...
Roman Kurmanowytsch, Mehdi Jazayeri, Engin Kirda