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ICNC
2005
Springer
14 years 28 days ago
Texture Segmentation Using Neural Networks and Multi-scale Wavelet Features
This paper presents a novel texture segmentation method using Bayesian estimation and neural networks. Multi-scale wavelet coefficients and the context information extracted from n...
Tae-Hyung Kim, Il Kyu Eom, Yoo Shin Kim
ICIP
2000
IEEE
13 years 12 months ago
Multiscale Texture Segmentation Using Hybrid Contextual Labeling Tree
Wavelet-domain hidden Markov tree (HMT) model has been recently proposed and applied to image processing, e.g., image segmentation. A new multiscale image segmentation method, cal...
Guoliang Fan, Xiang-Gen Xia
AAAI
2011
12 years 7 months ago
An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
Byron Boots, Geoffrey J. Gordon
HASE
1998
IEEE
13 years 11 months ago
Combining Various Solution Techniques for Dynamic Fault Tree Analysis of Computer Systems
Fault trees provide a graphical and logical framework for analyzing the reliability of systems. A fault tree provides a conceptually simple modeling framework to represent the sys...
Ragavan Manian, Joanne Bechta Dugan, David Coppit,...
FGR
2006
IEEE
205views Biometrics» more  FGR 2006»
14 years 1 months ago
Tracking Using Dynamic Programming for Appearance-Based Sign Language Recognition
We present a novel tracking algorithm that uses dynamic programming to determine the path of target objects and that is able to track an arbitrary number of different objects. The...
Philippe Dreuw, Thomas Deselaers, David Rybach, Da...