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» Consistent Minimization of Clustering Objective Functions
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83
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ICIP
2005
IEEE
16 years 1 months ago
Metrology in uncalibrated images given one vanishing point
In this paper, we describe how 3D Euclidean measurements can be made in a pair of uncalibrated images, when only minimal geometric information are available in the image planes. T...
Hassan Foroosh, Xiaochun Cao, Murat Balci
96
Voted
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 1 days ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
CSDA
2007
100views more  CSDA 2007»
14 years 11 months ago
Estimation in a linear multivariate measurement error model with a change point in the data
A linear multivariate measurement error model AX = B is considered. The errors in A B are row-wise finite dependent, and within each row, the errors may be correlated. Some of th...
Alexander Kukush, Ivan Markovsky, Sabine Van Huffe...
SDM
2008
SIAM
123views Data Mining» more  SDM 2008»
15 years 1 months ago
Constrained Co-clustering of Gene Expression Data
In many applications, the expert interpretation of coclustering is easier than for mono-dimensional clustering. Co-clustering aims at computing a bi-partition that is a collection...
Ruggero G. Pensa, Jean-François Boulicaut
90
Voted
ICDM
2006
IEEE
138views Data Mining» more  ICDM 2006»
15 years 5 months ago
Belief Propagation in Large, Highly Connected Graphs for 3D Part-Based Object Recognition
We describe a part-based object-recognition framework, specialized to mining complex 3D objects from detailed 3D images. Objects are modeled as a collection of parts together with...
Frank DiMaio, Jude W. Shavlik