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DATAMINE
2006
157views more  DATAMINE 2006»
13 years 9 months ago
Data Clustering with Partial Supervision
Clustering with partial supervision finds its application in situations where data is neither entirely nor accurately labeled. This paper discusses a semisupervised clustering algo...
Abdelhamid Bouchachia, Witold Pedrycz
ICCV
2009
IEEE
13 years 6 months ago
Structure and kinematics triangulation with a rolling shutter stereo rig
We describe a spatio-temporal triangulation method to be used with rolling shutter cameras. We show how a single pair of rolling shutter images enables the computation of both str...
Omar Ait-Aider, François Berry
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 9 months 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
ICCV
2011
IEEE
12 years 9 months ago
Source Constrained Clustering
We consider the problem of quantizing data generated from disparate sources, e.g. subjects performing actions with different styles, movies with particular genre bias, various con...
Ekaterina Taralova, Fernando DelaTorre, Martial He...
CVPR
2009
IEEE
15 years 4 months ago
Appearance-based Keypoint Clustering
We present an algorithm for clustering sets of detected interest points into groups that correspond to visually dis- tinct structure. Through the use of a suitable colour and tex...
Francisco J. Estrada, Pascal Fua, Sabine Süss...