1323 search results - page 69 / 265 » Feature Extraction for Machine Learning: Logic-Probabilistic... |
ICPR
2010
IEEE
14 years 10 months ago
2010
IEEE
Automatic analysis of head gestures and facial expressions is a challenging research area and it has significant applications in humancomputer interfaces. In this study, facial la...
ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
Extractive summarization of conference and lecture speech is useful for online learning and references. We show for the first time that deep(er) rhetorical parsing of conference ...
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CVPR
2012
IEEE
13 years 5 days ago
2012
IEEE
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
ICML
2000
IEEE
15 years 10 months ago
2000
IEEE
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
Many modern visual recognition algorithms incorporate a step of spatial `pooling', where the outputs of several nearby feature detectors are combined into a local or global `...