791 search results - page 42 / 159 » Learning Probabilistic Ontologies with Distributed Parameter... |
AAAI
2000
13 years 10 months ago
2000
We present a new domain for unsupervised learning: automatically customizing the computer to a specific melodic performer by merely listening to them improvise. We also describe B...
CVPR
2005
IEEE
14 years 11 months ago
2005
IEEE
We propose a statistical formulation for 2-D human pose estimation from single images. The human body configuration is modeled by a Markov network and the estimation problem is to...
IJCV
2002
13 years 8 months ago
2002
Abstract. A new, exemplar-based, probabilistic paradigm for visual tracking is presented. Probabilistic mechanisms are attractive because they handle fusion of information, especia...
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
When modeling high-dimensional richly structured data, it is often the case that the distribution defined by the Deep Boltzmann Machine (DBM) has a rough energy landscape with man...
ICTAI
2009
IEEE
14 years 3 months ago
2009
IEEE
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...