In many areas of pattern recognition and machine learning, subspace selection is an essential step. Fisher's linear discriminant analysis (LDA) is one of the most well-known linear subspace selection methods. Howe...
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This paper presents a robust and real time method of license plate localization based on level sets. The proposed algorithm consists of three steps: (1) medial axis transformation of selected level sets, (2) identific...
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This paper presents a robust and real time method of license plate localization based on level sets. The proposed algorithm consists of three steps: (1) medial axis transformation of selected level sets, (2) identification of sub-strokes, and (3) a multi-resolution window-based analysis for plate localization. Experiments show the effectiveness of our algorithm.
In this paper we introduce a compactness based clustering algorithm. The compactness of a data class is measured by comparing the inter-subset and intra-subset distances. The class compactness of a subset is defined a...
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In this paper we introduce a compactness based clustering algorithm. The compactness of a data class is measured by comparing the inter-subset and intra-subset distances. The class compactness of a subset is defined as the ratio of the two distances. A subset is called an isolated cluster (or icluster) if its class compactness is greater than 1. All iclusters make a containment tree. We introduce monotonic sequences of iclusters to simplify the structure of the icluster tree, based on which a clustering algorithm is designed. The algorithm has the following advantages: it is effective on data sets with clusters nonlinearly separated, of arbitrary shapes, or of different densities. The effectiveness of the algorithm is demonstrated by experiments.
One of the most challenging issues in visual information retrieval is retrieval by shape, due to a lack of mathematically rigorous definition of shape similarity. This paper presents a bipolar model for computing shap...
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One of the most challenging issues in visual information retrieval is retrieval by shape, due to a lack of mathematically rigorous definition of shape similarity. This paper presents a bipolar model for computing shape similarity. Given a discrete region, we cut its Voronoi diagram into two parts along the border of the region and each part is a tree. We use the two trees to respectively model the structures of a region and its complement, which is called the Bipolar Model. We prune the two trees by removing the nodes with small protrusions. The leaf nodes of the pruned trees are interleaved to make a leaf chain. Two regions are compared and matched, using a cyclic edit distance between the two leaf chains, with restricted merge and split operations allowed. We tested our algorithm on the MPEG-7 data set and made a “bullseye” score of 89.9%, which is the best performance ever reported.
Chiaroscuro in art is characterized by strong contrasts between light and dark. An object in a certain light condition has a certain chiaroscuro pattern in appearance; and this pattern is invariant to the changes of i...
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Chiaroscuro in art is characterized by strong contrasts between light and dark. An object in a certain light condition has a certain chiaroscuro pattern in appearance; and this pattern is invariant to the changes of illumination and pose within a certain extent. In this paper we introduce an object tracking method based on chiaroscuro patterns. The chiaroscuro pattern of an image is computed by running a medial axis transform on selected level sets. The medial axes are pruned and decomposed into segments. These segments make a chiaroscuro pattern. The end points of the segments are collected as key points, which are fed to Kalman filter for object tracking. The effectiveness of the algorithm is demonstrated by experiments.
The dynamic description logic DDL provides a kind of action theories based on description logics (DLs). Compared with another important DL-based action formalism constructed by Baader ***., a shortcoming of DDL is the...
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The rapid growth in the development of Internet-based information systems increases the demand for natural language interfaces that are easy to set up and maintain. Unfortunately, the problem of deep understanding nat...
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This paper proposes two models for the runtime analysis of satisfactory solutions of particle swarm optimization problems. Satisfactory solutions are important from a practical point of view because the precise optimu...
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Cross-domain text categorization targets on adapting the knowledge learnt from a labeled source-domain to an unla-beled target-domain, where the documents from the source and target domains are drawn from different di...
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The PMCHWT equation of the double negative media (DNG) is obtained based on its constitutive relationship. And the surface currents and radar cross section (RCS) at a single frequency point is computed by Method of mo...
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