Sciweavers

161 search results - page 21 / 33
» Dirichlet process mixture models with multiple modalities
Sort
View
74
Voted
ICML
2008
IEEE
15 years 10 months ago
An HDP-HMM for systems with state persistence
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...
ICIP
2002
IEEE
15 years 11 months ago
Updating mixture of principal components for error concealment
This paper is organized as follows. In Section 2, we formulate the proposed UMPC method for modeling nonstationary and multi-modal data. Both MPC and UPC are shown to be special ca...
Trista Pei-chun Chen, Tsuhan Chen
MICCAI
2003
Springer
15 years 10 months ago
Quantifying Evolving Processes in Multimodal 3D Medical Images
Quantitative measurements of changes in evolving brain pathology, such as multiple sclerosis lesions and brain tumors, are important for clinicians to perform pertinent diagnoses a...
Yuhang Wang, Tilmann Steinberg, Fillia Makedon, Ja...
CAINE
2003
14 years 11 months ago
A Fuzzy Logic Based Multiple Reference Model Adaptive Control
This paper presents a fuzzy logic approach for switching multiple reference models, within the Model Reference Adaptive Control (MRAC) framework, in response to major changes in t...
Sukumar Kamalasadan, Adel A. Ghandakly, Khalid S. ...
78
Voted
ISRR
2005
Springer
178views Robotics» more  ISRR 2005»
15 years 3 months ago
Improved Estimation of Target Velocity Using Multiple Model Estimation and a Dynamic Bayesian Network for a Robotic Tracker of O
A vision-based automatic tracking system for ocean animals in the midwater has been demonstrated in Monterey Bay, CA. Currently, the input to this system is a measurement of relati...
Aaron Plotnik, Stephen Rock