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ECCV
2008
Springer
15 years 3 days 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...
ICARCV
2002
IEEE
92views Robotics» more  ICARCV 2002»
14 years 3 months ago
LTSD: a highly efficient symmetry-based robust estimator
Although the least median of squares (LMedS) method and the least trimmed squares (LTS) method are said to have a high breakdown point (50%), they can break down at unexpectedly l...
Hanzi Wang, David Suter
MOBIHOC
2005
ACM
14 years 9 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»
13 years 11 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
P2P
2002
IEEE
103views Communications» more  P2P 2002»
14 years 3 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