1697 search results - page 15 / 340 » Spike Feature Extraction Using Informative Samples |
108
Voted
ICANN
2001
Springer
15 years 6 months ago
2001
Springer
In manipulating data such as in supervised learning, we often extract new features from original features for the purpose of reducing the dimensions of feature space and achieving ...
100
Voted
ICPR
2010
IEEE
15 years 2 months ago
2010
IEEE
—We propose a statistical framework for high-level feature extraction that uses SIFT Gaussian mixture models (GMMs) and audio models. SIFT features were extracted from all the im...
97
Voted
IR
2010
15 years 19 days ago
2010
LETOR is a benchmark collection for the research on learning to rank for information retrieval, released by Microsoft Research Asia. In this paper, we describe the details of the L...
95
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
121
Voted
CICLING
2006
Springer
15 years 6 months ago
2006
Springer
The disambiguation of verbs is usually considered to be more difficult with respect to other part-of-speech categories. This is due both to the high polysemy of verbs compared with...