Independent component analysis (ICA), instead of the traditional discrete cosine transform (DCT), is often used to project log Mel spectrum in robust speech feature extraction. The paper proposed using symmetric ortho...
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Image segmentation evaluation is still a hotspot problem. Various methods of image segmentation evaluation have been proposed. Amongst all the evaluation approaches, Segmentation Entropy Quantitative Assessment (SEQA)...
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Image segmentation evaluation is still a hotspot problem. Various methods of image segmentation evaluation have been proposed. Amongst all the evaluation approaches, Segmentation Entropy Quantitative Assessment (SEQA) is one of the most popular methods. In this paper, segmentation entropy is proposed. In experiments, some standard images which are segmented by multi-level thresholds are tested and used to conclude the characteristics of SEQA, including its application conditions, advantages and disadvantages in image segmentation evaluation.
Link Detection (abbr. LDT) is to determine whether two stories discuss the same topic in Topic Detection and Tracking (abbr. TDT) track. The key issue is to correctly measure the relevance between two stories. Most re...
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Link Detection (abbr. LDT) is to determine whether two stories discuss the same topic in Topic Detection and Tracking (abbr. TDT) track. The key issue is to correctly measure the relevance between two stories. Most researches on LDT use a series of independent words to describe stories (each story is a text specially discussing news), and the relevance between two stories is determined based on the percentage and weight of overlapping words between them. Although substantial improvement has been achieved, inadequate descriptions of word sense and semantics still have negative influences on the accuracy of LDT. In this paper we propose an online semantic tree, which is hierarchically constructed by the most relevant words extracted from previous story streams. In online semantic tree, word sense is described by a series of words in a sense closed-loop, and semantic relation among words is measured by depth and width of level that words locate in. In LDT, online semantic tree is built for each story, and the relevance between two stories is determined by measuring the KL divergence between their online semantic trees. The method performs quite well on TDT4 corpus. The Min Norm CDet of the method in testing is 0.2274 lower than that of the baseline.
Image segmentation is still a crucial problem in image processing. It hasn yet been solved very well. In this study, we propose a novel multi-level thresholding image segmentation method based on PSNR using artificial...
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Answer Set Programming (ASP) is widely used in many areas of Artificial Intelligence. A parallel answer set solving algorithm based on multi-core processor technology is proposed in this paper. The parallel algorithm ...
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ISBN:
(纸本)9781849195379
Answer Set Programming (ASP) is widely used in many areas of Artificial Intelligence. A parallel answer set solving algorithm based on multi-core processor technology is proposed in this paper. The parallel algorithm is designed on the shared-memory parallel computing model which is the -abs model of multi-core processor. The algorithm can distribute the whole solving task to several threads separately run on different cores of the multi-core processor. To make this parallel algorithm more efficient, we implement load balancing among different threads by the technique of shared global queue. The experimental results show that the parallel algorithm can improve the solving efficiency by times with the growth of processor cores.
Prioritized preference based decision making is pervasive in real problems solving. We propose a new paradigm of logic programming to handle prioritized preference. The paradigm is interpreted based on answer set sema...
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ISBN:
(纸本)9781849195379
Prioritized preference based decision making is pervasive in real problems solving. We propose a new paradigm of logic programming to handle prioritized preference. The paradigm is interpreted based on answer set semantics. We introduce two semantics to optimize answer sets of the programs. Then, we present the properties of those semantics by investigating their order characterization. Finally, compared with related works, it shows our new paradigm has strong expressive power of preference representation and reasoning.
In order to eliminate the internal condensation of enclosed switchgear cabinet, this paper introduced a subminiature and high-performance dehumidifier based on semiconductor refrigeration technology. This equipment ut...
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Analysis of the Vehicle Behavior is mainly to analyze and identify the vehicles' motion pattern, and describe it by the use of natural language. It is a considerable challenge to analyze and describe the vehicles&...
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Geometry-based optimal power control was proposed in [14] to transform the power-control problem to a new geometrical problem on the position relationship between a line and some points. This scheme provides a novel v...
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A key technique for protein analysis is the geometric alignment of two-dimensional polyacrylamide gel electrophoresis (2-D PAGE), i.e., 2-D PAGE image registration. In this study, the adaptability in elastic image reg...
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