1918 search results - page 248 / 384 » Embedding Data in 3D Models |
95
Voted
ICIP
2008
IEEE
15 years 7 months ago
2008
IEEE
—Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms usi...
120
click to vote
PKDD
2009
Springer
15 years 7 months ago
2009
Springer
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
151
Voted
BIOCOMP
2006
15 years 1 months ago
2006
Exploring gene regulatory network is a key topic in molecular biology. In this paper, we present a new dynamic Bayesian network (DBN) framework embedded with structural expectatio...
99
Voted
ICTAI
2005
IEEE
15 years 6 months ago
2005
IEEE
In this paper, we propose a novel stochastic framework for unsupervised manifold learning. The latent variables are introduced, and the latent processes are assumed to characteriz...
3DPH
2009
15 years 1 months ago
2009
Abstract. A common problem in optical motion capture of human-body movement is the so-called missing marker problem. The occlusion of markers can lead to significant problems in tr...