1323 search results - page 119 / 265 » Feature Extraction for Machine Learning: Logic-Probabilistic... |
SDM
2010
SIAM
14 years 11 months ago
2010
SIAM
Obtaining high-quality and up-to-date labeled data can be difficult in many real-world machine learning applications, especially for Internet classification tasks like review spam...
103
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ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
3DPVT
2006
IEEE
15 years 1 months ago
2006
IEEE
This paper presents a novel object recognition approach based on range images. Due to its insensitivity to illumination, range data is well suited for reliable silhouette extracti...
119
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ESANN
2006
14 years 11 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
INTERSPEECH
2010
14 years 4 months ago
2010
In this paper, we investigate using meeting-specific characteristics to improve extractive meeting summarization, in particular, speaker-related attributes (such as verboseness, g...