144 search results - page 4 / 29 » Combining Active Learning and Dynamic Dimensionality Reducti... |
AMDO
2006
Springer
13 years 11 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...
CEC
2005
IEEE
14 years 1 months ago
2005
IEEE
Testing of VLSI circuits can cause generation of excessive heat which can damage the chips under test. In the random testing environment, high-performance CMOS circuits consume sig...
NIPS
2004
13 years 9 months ago
2004
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
COMPLIFE
2006
Springer
13 years 11 months ago
2006
Springer
We present a method for simultaneous dimension reduction and metastability analysis of high dimensional time series. The approach is based on the combination of hidden Markov model...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. There has been growing interest in developing nonlinear dimensionality reduction algorithms for vision applications. Although progress has been made in recent years, conv...