2033 search results - page 97 / 407 » Ranking on Data Manifolds |
ICCV
2011
IEEE
12 years 9 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...
ICASSP
2009
IEEE
14 years 4 months ago
2009
IEEE
We present an algorithm for active learning (adaptive selection of training data) within the context of semi-supervised multi-task classifier design. The semi-supervised multi-ta...
IRI
2007
IEEE
14 years 4 months ago
2007
IEEE
The paper presents a study on large-scale automatic extraction of acronyms and associated expansions from Web data and from the user interactions with this data through Web search...
CVPR
2012
IEEE
12 years 3 days ago
2012
IEEE
Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel no...
TKDE
2012
12 years 2 days ago
2012
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...