327 search results - page 23 / 66 » A Spectral Approach to Learning Structural Variations in Gra... |
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
By the term "quantization", we refer to the process of using quantum mechanics in order to improve a classical algorithm, usually by making it go faster. In this paper, ...
SSPR
2004
Springer
14 years 25 days ago
2004
Springer
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
IROS
2007
IEEE
14 years 1 months ago
2007
IEEE
— We present a Graph-based method for low-level segmentation of unfiltered 3D data. The core of this approach is based on the construction of a local neighborhood structure and ...
ECML
2007
Springer
13 years 11 months ago
2007
Springer
Recently, a successful extension of Principal Component Analysis for structured input, such as sequences, trees, and graphs, has been proposed. This allows the embedding of discret...