52 search results - page 1 / 11 » Euclidean Embedding of Co-Occurrence Data |
NIPS
2004
13 years 5 months ago
2004
Embedding algorithms search for low dimensional structure in complex data, but most algorithms only handle objects of a single type for which pairwise distances are specified. Thi...
ICPR
2010
IEEE
13 years 2 months ago
2010
IEEE
Similarity based pattern recognition is concerned with the analysis of patterns that are specified in terms of object dissimilarity or proximity rather than ordinal values. For man...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
In dimensionality reduction approaches, the data are typically embedded in a Euclidean latent space. However for some data sets this is inappropriate. For example, in human motion...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
We present a novel approach to embedding data represented by a network into a lowdimensional Euclidean space. Unlike existing methods, the proposed method attempts to minimize an ...
RECSYS
2010
ACM
13 years 4 months ago
2010
ACM
Recommendation systems suggest items based on user preferences. Collaborative filtering is a popular approach in which recommending is based on the rating history of the system. O...