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ICPR
2010
IEEE
13 years 7 months ago
User Adaptive Clustering for Large Image Databases
Abstract--Searching large image databases is a time consuming process when done manually. Current CBIR methods mostly rely on training data in specific domains. When source and dom...
Mohammad Mehdi Saboorian, Mansour Jamzad, Hamid R....
ICDM
2003
IEEE
119views Data Mining» more  ICDM 2003»
14 years 2 months ago
A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
Chihli Hung, Stefan Wermter
ECCV
2008
Springer
14 years 11 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
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
P2P
2002
IEEE
103views Communications» more  P2P 2002»
14 years 2 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