this article presents a clustering algorithm to determine the optimal number of components in a Gaussian mixture. the principle is to start from an important number of mixture components then group the multivariate no...
详细信息
ISBN:
(纸本)0769525210
this article presents a clustering algorithm to determine the optimal number of components in a Gaussian mixture. the principle is to start from an important number of mixture components then group the multivariate normal distributions into clusters using the divergence, a weighted symmetric, distortion measure based on the Kullback-Leibler distance. the optimal cut in the tree, i.e. the clustering, satisfies criteria based on either the minimum amount of available training data or dissimilarities between clusters. the performance of this algorithm is compared favorably against a reference system and a likelihood loss based clustering system. the tree cutting criteria are also discussed. About an hour of Ester, a French broadcast News database is used for the recognition experiments. Performance are significantly improved and the word error rate decreases by about 4.8%, where the confidence interval is 1%.
We describe alternative learning schemes for radial basis function (RBF) networks both in the context of classification and function recovering problems. the connection between RBF networks and well established kernel...
详细信息
Adapting classification systems according to new input data streams raises several challenges in changing environments. Although several adaptive ensemble-based strategies have been proposed to preserve previously-acq...
详细信息
We present a framework that enables the use of traditional feature selection algorithms in a new context - for building a set of subsets of specified properties. During the course of search individual items are added/...
详细信息
ISBN:
(纸本)0769525210
We present a framework that enables the use of traditional feature selection algorithms in a new context - for building a set of subsets of specified properties. During the course of search individual items are added/removed to/from one of the subsets in the subset system one at a time to maximize an overall criterion. Different tasks of prototype search type can be solved in this alternative way depending on suitable criterion definition. the usability of the concept is shown on keyword extraction example. Further possible applications are suggested.
In this paper, we present an integrated system for symbol recognition. the whole recognition procedure consists of image compression, denoising and recognition. We present a pixel-based method to calculate similarity ...
详细信息
When a moving robot tries to find text in the surrounding scene by an onboard video camera, the same text strings appear in many image frames. Since it is a waste of time to recognize the same text strings repeatedly,...
详细信息
ISBN:
(纸本)0769525210
When a moving robot tries to find text in the surrounding scene by an onboard video camera, the same text strings appear in many image frames. Since it is a waste of time to recognize the same text strings repeatedly, it is necessary to decrease text candidate regions for recognition. this paper presents a text capture system that can look around the environment by an active camera, reducing the number of text strings to be recognized. the text candidate regions are extracted from the images by an improved DCT feature. the text regions are tracked in a video sequence to reduce the text candidate strings. In experiments, we tested 55 images of corridor with seven text strings. the text candidate regions are reduced by 86.8% by our method.
LIght Detection And Ranging (LIDAR) data for terrain and land surveying has contributed to many environmental, engineering and civil applications. However, the analysis of Digital Surface Models (DSMs) from complex LI...
详细信息
ISBN:
(纸本)0769525210
LIght Detection And Ranging (LIDAR) data for terrain and land surveying has contributed to many environmental, engineering and civil applications. However, the analysis of Digital Surface Models (DSMs) from complex LIDAR data is still challenging. Commonly, the first task to investigate LIDAR data point clouds is to separate ground and object points as a preparatory step for further object classification. In this paper, the authors present a novel unsupervised segmentation algorithm-skewness balancing to separate object and ground points efficiently from high resolution LIDAR point clouds by exploiting statistical moments. the results presented in this paper have shown its robustness and its potential for commercial applications.
the possibility of application of the knowledge base technology to solve the patternrecognition problems has been considered. For this purpose. the investigations to deepen the pilotage information analysing and proc...
详细信息
the possibility of application of the knowledge base technology to solve the patternrecognition problems has been considered. For this purpose. the investigations to deepen the pilotage information analysing and processing have been carried out and the tasks related to pilotage technique controlling and assessment have been singled out. Prospects of the application of the fuzzy set theory methods and the decision making using the knowledge about problem domain is demonstrated. (C) 2000 Elsevier Science Ltd. All rights reserved.
this paper presents a method for synchronizing multiple cameras from only the images captured by the cameras, assuming that they are not connected to an external clock signal source. It is assumed that the cameras are...
详细信息
ISBN:
(纸本)0769525210
this paper presents a method for synchronizing multiple cameras from only the images captured by the cameras, assuming that they are not connected to an external clock signal source. It is assumed that the cameras are stationary and take the images of the same scene from various viewpoints, in which there are moving objects such as human in motion. the method uses the appearance changes in an image sequence as a temporal feature and matches two or more sequences by evaluating the correlation among their temporal features. We show through several experiments that the method shows good performance of synchronization in spite of its simplicity. We also present a method for synchronization in sub-frame accuracy and also for adaptively selecting regions suitable for deriving the temporal features. the latter resolves the difficulty withthe case where some objects appear in some of the cameras and do not in the rest, which could deteriorate accuracy of the synchronization.
EnFilter is a Proactive Password Checking System, designed to avoid password guessing attacks. It is made of a set of configurable filters, each one based on a specific patternrecognition measure that can be tuned by...
详细信息
暂无评论