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STACS
2007
Springer
15 years 4 months ago
Small Space Representations for Metric Min-Sum k -Clustering and Their Applications
The min-sum k-clustering problem is to partition a metric space (P, d) into k clusters C1, . . . , Ck ⊆ P such that k i=1 p,q∈Ci d(p, q) is minimized. We show the first effi...
Artur Czumaj, Christian Sohler
ICPR
2008
IEEE
15 years 4 months ago
Transductive optimal component analysis
We propose a new transductive learning algorithm for learning optimal linear representations that utilizes unlabeled data. We pose the problem of learning linear representations a...
Yuhua Zhu, Yiming Wu, Xiuwen Liu, Washington Mio
PAKDD
2004
ACM
94views Data Mining» more  PAKDD 2004»
15 years 3 months ago
Clustering Multi-represented Objects with Noise
Abstract. Traditional clustering algorithms are based on one representation space, usually a vector space. However, in a variety of modern applications, multiple representations ex...
Karin Kailing, Hans-Peter Kriegel, Alexey Pryakhin...
SIGGRAPH
1999
ACM
15 years 2 months ago
LDI Tree: A Hierarchical Representation for Image-Based Rendering
Using multiple reference images in 3D image warping has been a challenging problem. Recently, the Layered Depth Image (LDI) was proposed by Shade et al. to merge multiple referenc...
Chun-Fa Chang, Gary Bishop, Anselmo Lastra
IVS
2008
139views more  IVS 2008»
14 years 10 months ago
DataMeadow: a visual canvas for analysis of large-scale multivariate data
Supporting visual analytics of multiple large-scale multidimensional datasets requires a high degree of interactivity and user control beyond the conventional challenges of visual...
Niklas Elmqvist, John T. Stasko, Philippas Tsigas