119 search results - page 19 / 24 » Visual Feature Space Analysis for Unsupervised Effectiveness... |
139
Voted
VIS
2004
IEEE
16 years 4 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...
139
click to vote
ICDM
2003
IEEE
15 years 8 months 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...
134
click to vote
NIPS
2001
15 years 4 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...
141
click to vote
MM
2010
ACM
15 years 3 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...
170
click to vote
MM
2004
ACM
15 years 8 months 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 ...