5 search results - page 1 / 1 » Latent Low-Rank Representation for Subspace Segmentation and... |
ICCV
2011
IEEE
12 years 4 months ago
2011
IEEE
Low-Rank Representation (LRR) [16, 17] is an effective method for exploring the multiple subspace structures of data. Usually, the observed data matrix itself is chosen as the dic...
SDM
2009
SIAM
14 years 1 months ago
2009
SIAM
Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
ICCV
2005
IEEE
14 years 6 months ago
2005
IEEE
We present a new approach to model visual scenes in image collections, based on local invariant features and probabilistic latent space models. Our formulation provides answers to...
NIPS
2001
13 years 6 months ago
2001
This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...
SAMT
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. This paper presents an approach on high-level feature detection using a region thesaurus. MPEG-7 features are locally extracted from segmented regions and for a large set...