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SIGMOD
2004
ACM
150views Database» more  SIGMOD 2004»
14 years 1 months ago
Clustering Objects on a Spatial Network
Clustering is one of the most important analysis tasks in spatial databases. We study the problem of clustering objects, which lie on edges of a large weighted spatial network. Th...
Man Lung Yiu, Nikos Mamoulis
NIPS
2007
13 years 9 months ago
DIFFRAC: a discriminative and flexible framework for clustering
We present a novel linear clustering framework (DIFFRAC) which relies on a linear discriminative cost function and a convex relaxation of a combinatorial optimization problem. The...
Francis Bach, Zaïd Harchaoui
PAMI
1998
76views more  PAMI 1998»
13 years 7 months ago
Segmenting Images Corrupted by Correlated Noise
—Image segmentation is fundamental to many image analysis problems. It aims to partition a digital image into a set of nonoverlapping homogeneous regions. The main contribution o...
Thomas C. M. Lee
MFCS
2005
Springer
14 years 1 months ago
Coloring Sparse Random k-Colorable Graphs in Polynomial Expected Time
Abstract. Feige and Kilian [5] showed that finding reasonable approximative solutions to the coloring problem on graphs is hard. This motivates the quest for algorithms that eithe...
Julia Böttcher
COLT
2005
Springer
14 years 1 months ago
Stability and Generalization of Bipartite Ranking Algorithms
The problem of ranking, in which the goal is to learn a real-valued ranking function that induces a ranking or ordering over an instance space, has recently gained attention in mac...
Shivani Agarwal, Partha Niyogi