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» Hierarchical Structuring of Data on Manifolds
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EDBT
2008
ACM
167views Database» more  EDBT 2008»
14 years 9 months ago
HISSCLU: a hierarchical density-based method for semi-supervised clustering
In situations where class labels are known for a part of the objects, a cluster analysis respecting this information, i.e. semi-supervised clustering, can give insight into the cl...
Christian Böhm, Claudia Plant
CVPR
2009
IEEE
15 years 4 months ago
Factorization for Non-Rigid and Articulated Structure using Metric Projections
This paper describes a new algorithm for recovering the 3D shape and motion of deformable and articulated objects purely from uncalibrated 2D image measurements using an iterati...
Alessio Del Bue, João M. F. Xavier, Lourdes...
OSDI
2008
ACM
14 years 9 months ago
Digging for Data Structures
Because writing computer programs is hard, computer programmers are taught to use encapsulation and modularity to hide complexity and reduce the potential for errors. Their progra...
Anthony Cozzie, Frank Stratton, Hui Xue, Samuel T....
NIPS
2003
13 years 10 months ago
Kernels for Structured Natural Language Data
This paper devises a novel kernel function for structured natural language data. In the field of Natural Language Processing, feature extraction consists of the following two ste...
Jun Suzuki, Yutaka Sasaki, Eisaku Maeda
CIBB
2008
13 years 10 months ago
Unsupervised Stability-Based Ensembles to Discover Reliable Structures in Complex Bio-molecular Data
The assessment of the reliability of clusters discovered in bio-molecular data is a central issue in several bioinformatics problems. Several methods based on the concept of stabil...
Alberto Bertoni, Giorgio Valentini