68 search results - page 2 / 14 » Topology Representing Networks for Intrinsic Dimensionality ... |
ICML
1995
IEEE
14 years 6 months ago
1995
IEEE
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
AVSS
2006
IEEE
13 years 11 months ago
2006
IEEE
Estimating the paths that moving objects can take through the fields of view of possibly non-overlapping cameras, also known as their activity topology, is an important step in t...
AAAI
2006
13 years 6 months ago
2006
Over the past few years, some embedding methods have been proposed for feature extraction and dimensionality reduction in various machine learning and pattern classification tasks...
AMDO
2006
Springer
13 years 9 months ago
2006
Springer
Abstract. We propose motion manifold learning and motion primitive segmentation framework for human motion synthesis from motion-captured data. High dimensional motion capture date...
MM
2004
ACM
13 years 10 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 ...