149 search results - page 13 / 30 » Maximum Likelihood Learning of Conditional MTE Distributions |
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
We present a new method for training deformable models. Assume that we have training images where part locations have been labeled. Typically, one fits a model by maximizing the l...
ECCV
2002
Springer
14 years 9 months ago
2002
Springer
Abstract. In many vision problems, the observed data lies in a nonlinear manifold in a high-dimensional space. This paper presents a generic modelling scheme to characterize the no...
TREC
2001
13 years 8 months ago
2001
We used the YFILTER filtering system for experiments on updating profiles and setting thresholds. We developed a new method of using language models for updating profiles that is ...
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
—Segmentation, the task of splitting a long sequence of discrete symbols into chunks, can provide important information about the nature of the sequence that is understandable to...
KDD
2001
ACM
14 years 7 months ago
2001
ACM
Skewed distributions appear very often in practice. Unfortunately, the traditional Zipf distribution often fails to model them well. In this paper, we propose a new probability di...