1575 search results - page 119 / 315 » Unsupervised Learning of Models for Recognition |
141
click to vote
IJCAI
2003
15 years 4 months ago
2003
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
134
Voted
SIGIR
2011
ACM
14 years 6 months ago
2011
ACM
The majority of the current information retrieval models weight the query concepts (e.g., terms or phrases) in an unsupervised manner, based solely on the collection statistics. I...
132
click to vote
DAS
2010
Springer
15 years 8 months ago
2010
Springer
Whole-book recognition is a document image analysis strategy that operates on the complete set of a book’s page images, attempting to improve accuracy by automatic unsupervised ...
122
Voted
SAC
2009
ACM
15 years 10 months ago
2009
ACM
In the past years, the theory and practice of machine learning and data mining have been focused on static and finite data sets from where learning algorithms generate a static m...
142
click to vote
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
How to assign appropriate weights to terms is one of the critical issues in information retrieval. Many term weighting schemes are unsupervised. They are either based on the empir...