24 search results - page 3 / 5 » Iterative Double Clustering for Unsupervised and Semi-superv... |
SDM
2008
SIAM
13 years 7 months ago
2008
SIAM
Multiple view data, which have multiple representations from different feature spaces or graph spaces, arise in various data mining applications such as information retrieval, bio...
ICRA
2009
IEEE
14 years 12 days ago
2009
IEEE
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
ICPR
2008
IEEE
14 years 6 days ago
2008
IEEE
Visual dictionaries are widely employed in object recognition to map unordered bags of local region descriptors into feature vectors for image classification. Most visual dictiona...
KDD
2001
ACM
14 years 6 months ago
2001
ACM
Clustering algorithms have become increasingly important in handling and analyzing data. Considerable work has been done in devising effective but increasingly specific clustering...
ECML
2006
Springer
13 years 9 months ago
2006
Springer
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...