Title
Multi Layer Analysis
Abstract
This thesis presents a new methodology to analyze one-dimensional signals trough a new approach called Multi Layer Analysis, for short MLA. It also provides some new insights on the relationship between one-dimensional signals processed by MLA and tree kernels, test of randomness and signal processing techniques. The MLA approach has a wide range of application to the fields of pattern discovery and matching, computational biology and many other areas of computer science and signal processing. This thesis includes also some applications of this approach to real problems in biology and seismology.
Year
Venue
Keywords
2011
CoRR
computational biology,data structure,signal processing,pattern recognition,quantitative method
Field
DocType
Volume
Signal processing,Multi layer,Computer science,Tree kernel,Artificial intelligence,Machine learning,Randomness
Journal
abs/1107.5349
Citations 
PageRank 
References 
0
0.34
20
Authors
1
Name
Order
Citations
PageRank
Luca Pinello1497.71