Representation Discovery using Harmonic Analysis

Representation Discovery using Harmonic Analysis
Publisher: Morgan and Claypool Publishers | ISBN: 1598296590 | edition 2008 | File type: PDF | 160 pages | 5,1 mb

Representations are at the heart of artificial intelligence (AI). This book is devoted to the problem of representation discovery: how can an intelligent system construct representations from its experience? Representation discovery re-parameterizes the state space - prior to the application of information retrieval, machine learning, or optimization techniques - facilitating later inference processes by constructing new task-specific bases adapted to the state space geometry. This book presents a general approach to representation discovery using the framework of harmonic analysis, in particular Fourier and wavelet analysis. Biometric compression methods, the compact disc, the computerized axial tomography (CAT) scanner in medicine, JPEG compression, and spectral analysis of time-series data are among the many applications of classical Fourier and wavelet analysis.

Download links:

[Fast Download] Representation Discovery using Harmonic Analysis

Ebooks related to "Representation Discovery using Harmonic Analysis " :
RF Linear Accelerators for Medical and Industrial Applications
Handbook of Terahertz Technology for Imaging, Sensing and Communications
Adaptive Filtering: Algorithms and Practical Implementation, 4th edition
DSP Architecture Design Essentials (Electrical Engineering Essentials)
"Analog Circuits" ed. by Yuping Wu
Electronic Circuits for the Evil Genius, 2 Edition
Microelectronic Circuits, 5 edition
Circuit Design: Know It All
Cdma Mobile Radio Design
ULSI Devices
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.