20447387
Cluster ZTP in the recovery of an image
Abstract Cluster ZTP (zero-temperature process) is proposed as a method of image recovery and examined for 8-valued images. The cluster ZTP is an iterative algorithm for the search of an approximately optimal solution of an energy minimization problem.
16332479
Preferential Urn Model on a Random Network
A preferential urn model on a random network and a complete graph is studied. The preferential urn model is based on the concept "the rich get richer", and has simple dynamics of ball-transfers. The model is considered as a simple socio-economic system. From analytical treatments, it has been revealed that the preferential urn model on the complete graph gives a fat-tailed occupation distribution in the case with randomness for fitness parameters. In the present paper, using numerical experiments, we show that the model on the random network gives a fat-tailed occupation distribution in the case without randomness for fitness parameters; hence, we would consider that the local ball-transfer process on the random network includes effects corresponding to the randomness for fitness parameters. This simple game would give a valuable insight into various phenomena from socio-economic point of view
2198276
Coupled Markov random field models with phases as line field and region field
We investigate a boundary-based and a region-based coupled Markov random field model, both of which are useful in image restorations of gray-level images. In the conventional boundary-based and the conventional region-based coupled Markov random field models, both a line field and a region field take only two discrete states, 0 and 1. In the boundary-based coupled random field model, existence and nonexistence of the edge at each nearest-neighbor pair of pixels are denoted by 1 and 0, respectively. In the region-based coupled random field model, some different regions at each pixel are labeled by discrete numbers. We propose a boundary-based coupled Markov random field model with continuous line field and a region-based coupled Markov random field model with continuous segmentation field from a standpoint of a plane rotator model in statistical mechanics. The iterative algorithms for image restoration are constructed by using a mean-field approximation. We investigate how the proposed models produce a better quality of restored images. © 2003 Wiley Periodicals, Inc. Syst Comp Jpn, 34(7): 24–33, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/scj.10364
11983347
Linear Response Formula in Generalized Belief Propagation for Probabilistic Inference
Linear response formulas for the generalized belief propagation in approximate inference are derived by using generalized belief propagation. The linear response formulas can give us the marginal probability between every pair of nodes and we obtain good accuracy in some examples of practical probabilistic inferences
7133208
Statistical Learning Procedure in Loopy Belief Propagation for Probabilistic Image Processing
We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model and maximum likelihood estimation. Although hyperparameters in the probabilistic model are determined so as to maximize a marginal likelihood, a practical algorithm is described for the EM algorithm with the loopy belief propagation which is one of approximate inference algorithms in artificial intelligence
119404260
Probabilistic image processing based on the Q-Ising model by means of the mean-field method and loopy belief propagation
The framework is presented of Bayesian image restoration for multi-valued images by means of the Q-Ising model. Hyper parameters in the probabilistic model are determined so as to maximize the marginal likelihood. Practical algorithms are described based the conventional mean-field approximation and loopy belief propagation. We compare the results empirically with those provided by conventional filters and the new methods are found to be superior.
42699164
Computation-Tuple Sequences and Object Histories: Extended Abstract
Recently, much attention has been focussed on database aspects of office automation and their associated research problems [A,EN,PFK,SIGMOD,SSLKG]. One major component in this area is a facility to manage historical data for many “objects”, namely, an object history (management) system. Examples of such systems are those for personal checking account, salary reviews and schedules. However, there has been little widely accepted mathematical formalism which captures major aspects of the historical data for the objects (here called object histories) and permits the identification and analysis of relevant issues. The purpose of the present paper is to introduce a mathematical model allowing such an investigation1.
18847598
A method for panoramic stereo image acquisition
One of the key technologies for one-to-many visual communication is panoramic stereo, in which stereoscopic images for arbitrary horizontal directions are presented to multiple users, according to their positions and postures. In this paper, one of the methods for capturing panoramic stereo motion pictures is proposed and evaluated, along with an experimentation. Through preliminary experimentation, we have confirmed the effectiveness of methods using a curved mirror.
1810071
Testing of Join Dependency Preserving by a Modified Chase Method
5408151
Alternative Objects in Object-oriented Databases
26636790
TWISTER: an immersive autostereoscopic display
This paper describes in detail the design, development, and evaluation of the TWISTER III (Telexistence Wide-angle Immersive STEReoscope) and demonstrates how this system can display immersive three-dimensional full-color and live motion pictures without the need for special eye-wear. The device works as a cylindrical display by rotating 30 display units around an observer and presenting time-varying patterns, while immersive autostereoscopic vision is achieved by employing a "rotating parallax barrier" method. After explaining the principle, we discuss the designs and implementations for maximum performance in various aspects of the display. We also evaluate the display.