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1,471 Result(s)
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Chapter and Conference Paper
Tracking Rain Cells in Radar Images using Multilayer Neural Networks
Very short-term forecasting of rainfall amounts on small watersheds can be achieved by extrapolating the advection of rain cells perceived as “echoes” on weather radar images. Pattern recognition oriented appr...
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Chapter and Conference Paper
Generating algorithm for quasi-full Steiner tree
In this paper, the notion of quasi-full Steiner tree (QFST) is introduced which is an extension of full Steiner tree (FST). We discuss some properties of QFST,and present a generating algorithm for obtaining a...
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Chapter and Conference Paper
A Neural Controller for Single-Leg Substrate-Finding: A First Step Toward Agile Locomotion in Insects and Robots
Insect walking has long been a subject of investigation for neurobiologists interested in rhythmic behaviors (review: Delcomyn, 1985). To date most research on insect locomotion had focused on the problem of p...
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Chapter and Conference Paper
An application of hierarchical knowledge integration in hand-written form processing
In this paper, we present a Hierarchical Interactive Reasoning approach for hand-written form processing, and describe an application of this approach to a prototype form processing system. A priori domain kno...
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Chapter and Conference Paper
A new nonlinear shape normalization method for off-line handwritten Chinese character recognition
How to correct the shape variations of handwritten Chinese characters is very important in off-line handwritten Chinese character recognition. In order to get rid of shape variations and reduce within-category...
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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
Evaluation and application of recognition confidence in OCR
Recognition confidence plays an important role in the selection of rejection threshold and the combination of multiple classifiers. In this paper, we first present a systematic theory on classifier's confidenc...
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Chapter and Conference Paper
A Dialogue Module at the Conceptual Product Design Stage through Genetic Algorithm
Conceptual product design involves a series of the designer’s creative thinking processes and consecutive communication with other disciplines are required in this stage to reach a final solution. During this ...
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Chapter and Conference Paper
VideoVR: A Real-Time System for Automatically Constructing Panoramic Images from Video Clips
An authoring system is proposed to construct panoramic images of real-world scenes from video clips automatically. Instead of using special hardware such as fish-eye lens, our method is less hardware-intensive...
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Chapter and Conference Paper
Image Pattern Recognition Based on Examples— A Combined Statistical and Structural-Syntactic Approach
An application of combined statistical and structural-syntactic approach in Chinese character recognition is presented. The algorithm adopts a structural representation for Chinese characters, but in the class...
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Chapter and Conference Paper
Digital City Shanghai: Towards Integrated Information & Service Environment
This paper aims to describe Digital City Shanghai (DCSH), which was designed to be an integrated information & service environment for everyday life. Section 1 provides a background of Shanghai. Section 2 discuss...
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Chapter and Conference Paper
Non-linear Prediction of Vibration Series for Turbogenerator Unit
A model for predicting vibration series of turbogenerator unit is proposed by combining ANNs techniques with non-linear phase space reconstruction. Such established model doesn’t make any hypothesis to history...
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Chapter and Conference Paper
O2PC-MT: A Novel Optimistic Two-Phase Commit Protocol for Mobile Transactions
Advances in computer and telecommunication technologies have made mobile computing a reality. In mobile computing environment, users can perform on-line transaction processing independent of their physical loc...
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Chapter and Conference Paper
Association Rule Mining on Remotely Sensed Images Using P-trees
Association Rule Mining, originally proposed for market basket data, has potential applications in many areas. Remote Sensed Imagery (RSI) data is one of the promising application areas. Extracting interesting...
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Chapter and Conference Paper
k-nearest Neighbor Classification on Spatial Data Streams Using P-trees
Classification of spatial data streams is crucial, since the training dataset changes often. Building a new classifier each time can be very costly with most techniques. In this situation, k-nearest neighbor (KNN...
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Chapter and Conference Paper
Correcting Word Segmentation and Part-of-Speech Tagging Errors for Chinese Named Entity Recognition
In the exploration of Chinese named entity recognition for a specific domain, the authors found that the errors caused during word segmentation and part-of-speech (POS) tagging have obstructed the improvement ...
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Chapter and Conference Paper
Unsupervised Learning: Self-aggregation in Scaled Principal Component Space*
We demonstrate that data clustering amounts to a dynamic process of self-aggregation in which data objects move towards each other to form clusters, revealing the inherent pattern of similarity. Selfaggregation i...
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Chapter and Conference Paper
Face Detection Based on Cost-Sensitive Support Vector Machines
This paper presents a method of detecting faces based on cost-sensitive Support Vector Machines (SVM). In our method, different costs are given to the misclassification of having a face missed and having a fal...
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Chapter and Conference Paper
Feature Weights Determining of Pattern Classification by Using a Rough Genetic Algorithm with Fuzzy Similarity Measure
The classification problem is one of the typical problems encountered in data mining and machine learning. In this paper, a rough genetic algorithm (RGA) is applied to the classification problem in an undeterm...
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Chapter and Conference Paper
User Profiling for Intrusion Detection Using Dynamic and Static Behavioral Models
Intrusion detection has emerged as an important approach to network security. In this paper, we adopt an anomaly detection approach by detecting possible intrusions based on user profiles built from normal usa...