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» On Effective Data Clustering in Bitemporal Databases
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APVIS
2010
15 years 23 days ago
Motion track: Visualizing variations of human motion data
This paper proposes a novel visualization approach, which can depict the variations between different human motion data. This is achieved by representing the time dimension of eac...
Yueqi Hu, Shuangyuan Wu, Shihong Xia, Jinghua Fu, ...
KDD
2009
ACM
206views Data Mining» more  KDD 2009»
15 years 12 months ago
Ranking-based clustering of heterogeneous information networks with star network schema
A heterogeneous information network is an information network composed of multiple types of objects. Clustering on such a network may lead to better understanding of both hidden s...
Yizhou Sun, Yintao Yu, Jiawei Han
FGR
2008
IEEE
255views Biometrics» more  FGR 2008»
15 years 5 months ago
Aligned Cluster Analysis for temporal segmentation of human motion
Temporal segmentation of human motion into actions is a crucial step for understanding and building computational models of human motion. Several issues contribute to the challeng...
Feng Zhou, Fernando De la Torre, Jessica K. Hodgin...
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
15 years 12 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
EDBT
2008
ACM
132views Database» more  EDBT 2008»
15 years 11 months ago
Indexing high-dimensional data in dual distance spaces: a symmetrical encoding approach
Due to the well-known dimensionality curse problem, search in a high-dimensional space is considered as a "hard" problem. In this paper, a novel symmetrical encoding-bas...
Yi Zhuang, Yueting Zhuang, Qing Li, Lei Chen 0002,...