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KDD
2009
ACM
140views Data Mining» more  KDD 2009»
16 years 10 days ago
Improving clustering stability with combinatorial MRFs
: ? Improving Clustering Stability with Combinatorial MRFs Bekkerman, Ron; Scholz, Martin; Viswanathan, Krishnamurthy HP Laboratories HPL-2009-46 Clustering stability, combinatoria...
Ron Bekkerman, Martin Scholz, Krishnamurthy Viswan...
WSC
2004
15 years 1 months ago
Project Risk Simulation Under Uncertain Construction Duration
This paper establishes a two-phase model to explore the financial risk of construction project under uncertain construction duration. Treated as a random variable in the model, th...
Kun-jung Hsu
DEXAW
2007
IEEE
135views Database» more  DEXAW 2007»
15 years 6 months ago
Unsupervised Learning of Manifolds via Linear Approximations
In this paper, we examine the application of manifold learning to the clustering problem. The method used is Locality Preserving Projections (LPP), which is chosen because of its ...
Hassan A. Kingravi, M. Emre Celebi, Pragya P. Raja...
IVC
2000
113views more  IVC 2000»
14 years 11 months ago
Matching disparate views of planar surfaces using projective invariants
Feature matching is a prerequisite to a wide variety of vision tasks. This paper presents a method that addresses the problem of matching disparate views of coplanar points and li...
Manolis I. A. Lourakis, Spyros T. Halkidis, Stelio...
UAI
2008
15 years 1 months ago
Projected Subgradient Methods for Learning Sparse Gaussians
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
John Duchi, Stephen Gould, Daphne Koller