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ICIP
1997
IEEE
16 years 6 months ago
An Optimization Approach to Unsupervised Hierarchical Texture Segmentation
In this paper we introduce a novel optimization framework for hierarchical data clustering and apply it to the problem of unsupervised texture segmentation. The proposed objective...
Thomas Hofmann, Jan Puzicha, Joachim M. Buhmann
DBISP2P
2005
Springer
82views Database» more  DBISP2P 2005»
15 years 10 months ago
Range Query Optimization Leveraging Peer Heterogeneity in DHT Data Networks
In this work we address the issue of efficient processing of range queries in DHT-based P2P data networks. The novelty of the proposed approach lies on architectures, algorithms, ...
Nikos Ntarmos, Theoni Pitoura, Peter Triantafillou
CSMR
2007
IEEE
15 years 11 months ago
Online Construction of Dynamic Object Process Graphs
A dynamic object process graph is a view on the control flow graph from the perspective of a single object. It has been shown that such a graph can be a useful starting point for...
Jochen Quante
IROS
2007
IEEE
168views Robotics» more  IROS 2007»
15 years 11 months ago
Improving humanoid locomotive performance with learnt approximated dynamics via Gaussian processes for regression
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
Jun Morimoto, Christopher G. Atkeson, Gen Endo, Go...
KDD
1998
ACM
164views Data Mining» more  KDD 1998»
15 years 9 months ago
A Data Mining Support Environment and its Application on Insurance Data
Huge masses of digital data about products, customers and competitors have become available for companies in the services sector. In order to exploit its inherent (and often hidde...
Martin Staudt, Jörg-Uwe Kietz, Ulrich Reimer