119 search results - page 19 / 24 » Visual Feature Space Analysis for Unsupervised Effectiveness... |
VIS
2004
IEEE
14 years 8 months ago
2004
IEEE
In this paper, we present an approach for monitoring the positions of vector field singularities in time-dependent datasets. The concept of singularity index is discussed and exte...
ICDM
2003
IEEE
14 years 22 days ago
2003
IEEE
Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
NIPS
2001
13 years 8 months ago
2001
In many scientific and engineering applications, detecting and understanding differences between two groups of examples can be reduced to a classical problem of training a classif...
MM
2010
ACM
13 years 7 months ago
2010
ACM
The problem of joint modeling the text and image components of multimedia documents is studied. The text component is represented as a sample from a hidden topic model, learned wi...
MM
2004
ACM
14 years 26 days ago
2004
ACM
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...