Titlebook: Rough Sets and Current Trends in Computing; 7th International Co Marcin Szczuka,Marzena Kryszkiewicz,Qinghua Hu Conference proceedings 2010

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Distance Based Fast Hierarchical Clustering Method for Large Datasetsstering methods AL also needs to scan the dataset many times. AL has time and space complexity of .(..), where . is the size of the dataset. These prohibit the use of AL for large datasets. In this paper, we have proposed a distance based hierarchical clustering method termed .-AL which speeds up th

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平項(xiàng)山

Vehicle Classification Based on Soft Computing Algorithmsstem uses a non-calibrated traffic camera, therefore no direct vehicle dimensions are used. Various vehicle descriptors are tested, including those based on vehicle mask only and those based on vehicle images. The latter ones employ Speeded Up Robust Features (SURF) and gradient images convolved wit

labyrinth

Controlling Computer by Lip Gestures Employing Neural Networksment of a multimodal human-computer interface called LipMouse. This solution allows a user to work on a computer using lip movements and gestures. A user face is detected in a video stream from a standard web camera using a cascade of boosted classifiers working with Haar-like features. Lip region e

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Computer Animation System Based on Rough Sets and Fuzzy Logicon of high quality animation by analyzing personalized styles contained in numerous animations. Sequences portraying a virtual character acting with a differentiating personalized style (natural or exaggerated) and various levels of fluidity were prepared and subjectively evaluated. Knowledge gather

larder

Adaptive Phoneme Alignment Based on Rough Set Theoryzation of the phonemic content of a specific spoken occurrence. According to the proposed algorithm, a number of rough sets containing the multiple expected phonemic instances in a sequence are created, each defined by a set of short term frames of the voice signal. The properties of the correspondi

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Monitoring Parkinson’s Disease Patients Employing Biometric Sensors and Rule-Based Data Processingoring of patients by using biometric sensors can provide assessment of the Parkinson’s Disease symptoms. All data on PD patients’ state are compared to historical data stored in the database and then a rule-based decision is applied to assess the overall illness state. The training procedure based o

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Innovative

Combining Multiple Classification or Regression Models Using Genetic Algorithms as most of the latest international data-mining contest winners were using some kind of a committee of classifiers to produce their final entry. This paper is a technical report presenting a method of using a genetic algorithm to optimize an ensemble of multiple classification or regression models.

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Argument Based Generalization of MODLEM Rule Induction Algorithmarning examples. In this paper we have incorporated this idea in rule induction as a generalization of the MODLEM algorithm. To adjust the algorithm to the redefined task, a new measure for evaluating rule conditions and a new classification strategy with rules had to be introduced. Experimental stu