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KDD
2010
ACM
245views Data Mining» more  KDD 2010»
13 years 11 months ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson
ICCV
2011
IEEE
12 years 7 months ago
Probabilistic Group-Level Motion Analysis and Scenario Recognition
This paper addresses the challenge of recognizing behavior of groups of individuals in unconstraint surveillance environments. As opposed to approaches that rely on agglomerative ...
Ming-Ching Chang, Nils Krahnstoever, Weina Ge
ASUNAM
2011
IEEE
12 years 7 months ago
Evolutionary Clustering and Analysis of Bibliographic Networks
—In this paper, we study the problem of evolutionary clustering of multi-typed objects in a heterogeneous bibliographic network. The traditional methods of homogeneous clustering...
Manish Gupta, Charu C. Aggarwal, Jiawei Han, Yizho...
KIVS
2005
Springer
14 years 1 months ago
A Case for Lightweight SuperPeer Topologies
: The usage of SuperPeers has been proposed to improve the performance of both Structured and Unstructured Peer-to-Peer (P2P) networks. In this paper we explore a network-aware cla...
Michael Kleis, Eng Keong Lua, Xiaoming Zhou
ISCC
2005
IEEE
14 years 1 months ago
Hierarchical Peer-to-Peer Networks Using Lightweight SuperPeer Topologies
The use of SuperPeers has been proposed to improve the performance of both Structured and Unstructured Peer-toPeer (P2P) Networks. In this paper, we study the performance of Yao-G...
Michael Kleis, Eng Keong Lua, Xiaoming Zhou