2,602 Result(s)
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Article
Visual knowledge representation and intelligent image segmentation
Automatic medical image analysis shows that image segmentation is a crucial task for any practical AI system in this field. On the basis of evaluation of the existing segmentation methods, a new image segmenta...
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Article
Conflict-resolution in multi-ES cooperation system
In the so called “Group Problem”[4] (we would like to term it “Group-Consulting Type Cooperation”), ESs of the same cooperating group may have different views towards the same problem, and the differences may som...
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Article
Noise removal from color images
The noise effects in color images are studied from the human perception and machine perception point of view. Three justifiable observations are made to illustrate problems related to individual color signal p...
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Article
A data manager for engineering applications
Efficient data management is crucial to the success of a CAD/CAM system. Traditional database systems, designed to deal with only regular and structural data, cannot efficiently manage design data. In this pap...
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Chapter and Conference Paper
Resource bounded randomness and weakly complete problems
We introduce and study resource bounded random sets based on Lutz's concept of resource bounded measure ([5, 6]). We concentrate on n c-randomness (c ≥ 2) which corresponds to the polynomial time bounded (p-) mea...
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Article
Experiments on estimating egomotion and structure parameters using long monocular image sequences
This paper presents a simple but robust model based approach to estimating the kinematics of a moving camera and the structure of the objects in a stationary environment using long, noisy, monocular image sequ...
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Article
Simulation and improvement of the processing subsystem of the Manchester dataflow computer
The Manchester dataflow computer is a famous dynamic dataflow computer. It is centralized in architecture and simple in organization. Its overhead for communication and scheduling is very small. Its efficiency...
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Chapter and Conference Paper
Goal-oriented multimedia dialogue with variable initiative
A dialogue algorithm is described that executes Prolog-style rules in an attempt to achieve a goal. The algorithm selects paths in the proof in an attempt to achieve success and proves subgoals on the basis of...
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Chapter and Conference Paper
Generating 3D models of objects using multiple visual cues in image sequences
This work aims at building a 3D graphics model of an object using multiple visual cues. Different materials and shapes may yield different visual cues such as corner, pattern, highlight, and contour on objects...
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Chapter and Conference Paper
Combinatorial coarse classification method for OLCCR
This paper presents a new coarse classification method based on combination of two independent approaches for on-line Chinese character recognition (OLCCR). Through introducing a feedback control provided by t...
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Chapter and Conference Paper
Boosting trees for cost-sensitive classifications
This paper explores two boosting techniques for cost-sensitive tree classifications in the situation where misclassification costs change very often. Ideally, one would like to have only one induction, and use...
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Chapter and Conference Paper
Generating classifier committees by stochastically selecting both attributes and training examples
Boosting and Bagging, as two representative approaches to learning classifier committees, have demonstrated great success, especially for decision tree learning. They repeatedly build different classifiers usi...
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Article
HarkMan—A vocabulary-independent keyword spotter for spontaneous Chinese speech
In this paper, a novel technique adopted in HarkMan is introduced. HarkMan is a keyword-spotter designed to automatically spot the given words of a vocabulary-independent task in unconstrained Chinese telephon...
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Chapter and Conference Paper
Classifying Unseen Cases with Many Missing Values
Handling missing attribute values is a important issue for classifier learning, since missing attribute values in either training data or test (unseen) data affect the prediction accuracy of learned classifier...
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Chapter and Conference Paper
Learning Lazy Rules to Improve the Performance of Classifiers
Based on an earlier study on lazy Bayesian rule learning, this paper introduces a general lazy learning framework, called LazyRule, that begins to learn a rule only when classifying a test case. The objective of ...
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Article
Lazy Learning of Bayesian Rules
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A number of approaches have sought ...
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Article
A non-blocking locking method and performance evaluation on network of workstations
A network of workstation (NOW) can act as a single and scalable powerful computer by building a parallel and distributed computing platform on top of it. WAKASHI is such a platform system that supports persist...
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Chapter and Conference Paper
The Intelligent Electronic Shop** System Based on Bayesian Customer Modeling
The rapid development of computer network technology makes the electronic shop** come into fashion. In this paper, first we analyze the common electronic shop** system and discuss the bottlenecks that rest...
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Chapter and Conference Paper
Electronic Homework on the WWW
This paper presents the design of an Intelligent Tutoring System (ITS) MathEH, that is a coached problem solving system, also called “Electronic Homework”. In describing the main modules of the system, we emph...
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Chapter and Conference Paper
Semantic Caching in Location-Dependent Query Processing
A method is presented in this paper for answering location-dependent queries in a mobile computing environment. We investigate a common scenario where data objects (e.g., restaurants and gas stations) are stat...
