7623 search results - page 31 / 1525 » Algorithmic Features of Eclat |
CIKM
2010
Springer
13 years 7 months ago
2010
Springer
Bursty features in text streams are very useful in many text mining applications. Most existing studies detect bursty features based purely on term frequency changes without takin...
CORR
2002
Springer
13 years 8 months ago
2002
Springer
A large body of research in machine learning is concerned with supervised learning from examples. The examples are typically represented as vectors in a multi-dimensional feature ...
COLING
2010
13 years 3 months ago
2010
An important task of opinion mining is to extract people's opinions on features of an entity. For example, the sentence, "I love the GPS function of Motorola Droid"...
JAIR
2010
13 years 7 months ago
2010
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...
MVA
2007
13 years 8 months ago
2007
We propose an algorithm for extracting facial features robustly from images for face recognition under large pose variation. Rectangular facial features are retrieved via the by-p...