1091 search results - page 91 / 219 » Learning Models for Predicting Recognition Performance |
112
click to vote
FGR
2006
IEEE
15 years 3 months ago
2006
IEEE
We address the task of accurately localizing the eyes in face images extracted by a face detector, an important problem to be solved because of the negative effect of poor localiz...
ECML
2006
Springer
15 years 3 months ago
2006
Springer
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
ML
2008
ACM
14 years 12 months ago
2008
ACM
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
109
click to vote
ICDAR
2007
IEEE
15 years 6 months ago
2007
IEEE
Using a lexicon can often improve character recognition under challenging conditions, such as poor image quality or unusual fonts. We propose a flexible probabilistic model for c...
107
click to vote
ICPR
2010
IEEE
14 years 9 months ago
2010
IEEE
We present a regression-based scheme for multi-view facial expression recognition based on 2-D geometric features. We address the problem by mapping facial points (e.g. mouth corn...