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ICDM
2003
IEEE
184views Data Mining» more  ICDM 2003»
16 years 3 days ago
Analyzing High-Dimensional Data by Subspace Validity
We are proposing a novel method that makes it possible to analyze high dimensional data with arbitrary shaped projected clusters and high noise levels. At the core of our method l...
Amihood Amir, Reuven Kashi, Nathan S. Netanyahu, D...
ACIVS
2009
Springer
15 years 11 months ago
Vehicle Tracking Using Geometric Features
Applications such as traffic surveillance require a real-time and accurate method for object tracking. We propose to represent scene observations with parabola segments with an alg...
Francis Deboeverie, Kristof Teelen, Peter Veelaert...
CLA
2007
15 years 8 months ago
Inducing Decision Trees via Concept Lattices
The paper presents a new method of decision tree induction based on formal concept analysis (FCA). The decision tree is derived using a concept lattice, i.e. a hierarchy of cluster...
Radim Belohlávek, Bernard De Baets, Jan Out...
INFORMATICALT
2008
92views more  INFORMATICALT 2008»
15 years 6 months ago
On Structural Analysis of Parliamentarian Voting Data
We investigate applicability of quantitative methods to discover the most fundamental structural properties of the most reliable political data in Lithuania. Namely, we analyze vot...
Tomas Krilavicius, Antanas Zilinskas
ICML
2009
IEEE
16 years 7 months ago
Archipelago: nonparametric Bayesian semi-supervised learning
Semi-supervised learning (SSL), is classification where additional unlabeled data can be used to improve accuracy. Generative approaches are appealing in this situation, as a mode...
Ryan Prescott Adams, Zoubin Ghahramani