180 search results - page 14 / 36 » Unsupervised Relation Disambiguation Using Spectral Clusteri... |
CVPR
2006
IEEE
14 years 11 months ago
2006
IEEE
In this paper we consider the problem of describing the action being performed by human figures in still images. We will attack this problem using an unsupervised learning approac...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
KDD
2012
ACM
11 years 11 months ago
2012
ACM
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
ICRA
2009
IEEE
14 years 3 months 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...
NIPS
2008
13 years 10 months ago
2008
Spectral clustering is useful for a wide-ranging set of applications in areas such as biological data analysis, image processing and data mining. However, the computational and/or...