1443 search results - page 78 / 289 » Learning Generative Models via Discriminative Approaches |
ACAL
2009
Springer
14 years 29 days ago
2009
Springer
Abstract. We explore a new definition of creativity -- one which emphasizes the statistical capacity of a system to generate previously unseen patterns -- and discuss motivations f...
ICMCS
2009
IEEE
13 years 6 months ago
2009
IEEE
In the H.264/AVC coding standard, motion estimation (ME) is allowed to use multiple reference frames to make full use of reducing temporal redundancy in a video sequence. Although...
ICPR
2002
IEEE
14 years 10 months ago
2002
IEEE
In this paper, we propose a Bayesian approach to video object segmentation. Our method consists of two stages. In the first stage, we partition the video data into a set of 3D wate...
NIPS
2007
13 years 10 months ago
2007
We show how to use unlabeled data and a deep belief net (DBN) to learn a good covariance kernel for a Gaussian process. We first learn a deep generative model of the unlabeled da...
AIPS
2011
13 years 17 days ago
2011
Applying learning techniques to acquire action models is an area of intense research interest. Most previous works in this area have assumed that there is a significant amount of...