Dynamically Constructed Bayesian Networks for Sketch Understanding
نویسنده
چکیده
People sketch to express their early design ideas in many domains, but current computer tools offer few advantages to designers during this sketching phase. Our goal is to construct a general recognition architecture that can be applied to a number of domains that is capable of parsing the user’s strokes (in real time) and interpreting them as depicting objects in the domain of interest without limiting the designer’s drawing freedom. Such an interpretation engine will enable the creation of powerful and natural early-stage computer aided design tools.
منابع مشابه
A Bayesian Networks Approach to Reliability Analysis of a Launch Vehicle Liquid Propellant Engine
This paper presents an extension of Bayesian networks (BN) applied to reliability analysis of an open gas generator cycle Liquid propellant engine (OGLE) of launch vehicles. There are several methods for system reliability analysis such as RBD, FTA, FMEA, Markov Chains, and etc. But for complex systems such as LV, they are not all efficiently applicable due to failure dependencies between compo...
متن کاملA Probabilistic Model for COPD Diagnosis and Phenotyping Using Bayesian Networks
Introduction: This research was meant to provide a model for COPD diagnosis and to classify the cases into phenotypes; General COPD, Chronic bronchitis, Emphysema, and the Asthmatic COPD using a Bayesian Network (BN). Methods: The model was constructed through developing the Bayesian Network structure and instantiating the parameters for each of the variables. In order to validate the achiev...
متن کاملRule-based joint fuzzy and probabilistic networks
One of the important challenges in Graphical models is the problem of dealing with the uncertainties in the problem. Among graphical networks, fuzzy cognitive map is only capable of modeling fuzzy uncertainty and the Bayesian network is only capable of modeling probabilistic uncertainty. In many real issues, we are faced with both fuzzy and probabilistic uncertainties. In these cases, the propo...
متن کاملIncremental Dynamic Construction of Layered Polytree Networks
Certain class es of problems, including per ceptual data understanding, robotics, discov ery, and learning, can be represented as incre mental, dynamically constructed belief net works. These automatically constructed net works can be dynamically extended and mod ified as evidence of new individuals becomes available. The main result of this paper is the incremental extension of the singl...
متن کاملGyroscope Random Drift Modeling, using Neural Networks, Fuzzy Neural and Traditional Time- series Methods
In this paper statistical and time series models are used for determining the random drift of a dynamically Tuned Gyroscope (DTG). This drift is compensated with optimal predictive transfer function. Also nonlinear neural-network and fuzzy-neural models are investigated for prediction and compensation of the random drift. Finally the different models are compared together and their advantages a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2003