In this paper, cross-corpora evaluations are used to analyze the bias of spontaneous facial expression databases. Local binary pattern, Gabor, eigenface and fisherface features are extracted and applied to the four sp...
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ISBN:
(纸本)9781467322164
In this paper, cross-corpora evaluations are used to analyze the bias of spontaneous facial expression databases. Local binary pattern, Gabor, eigenface and fisherface features are extracted and applied to the four spontaneous expression databases: USTC-NVIE, VAM, Belfast Naturalistic and SEMAINE to recognize arousal (high/low) and valance (positive/negative) respectively. Experimental results indicate that there exists bias among different spontaneous expression databases. The emotion-induction methods, the variety of subjects and the quantity of raters may have caused such a bias.
The negative database (NDB) is a complement of the corresponding database. The NDB could protect the privacy of the data, but it should be complete and hard-to-reverse. However, existent techniques cannot generate the...
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Search techniques can dramatically change our ability to solve a host of problems in applied science and engineering, many search techniques have been developed and applied successfully in many fields, including searc...
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Search techniques can dramatically change our ability to solve a host of problems in applied science and engineering, many search techniques have been developed and applied successfully in many fields, including search based software engineering (SBSE). As a key problem of combinatorial testing, covering array generation has been widely studied and many search techniques have been applied which can be named as search based combinatorial testing (SBCT). SBCT is a branch of search based software testing (SBST) within SBSE. In this paper, to explore the applicability and effectiveness of SBCT, we design six variants from existing search algorithms: Genetic Algorithm, Particle Swarm Optimization and Ant Colony Algorithm by reversing and randomizing their mechanisms. We study their effectiveness in terms of generating a covering array and compare their performance. Experiments show that these search techniques can work well with distinct performance in covering array generation. We believe that these search techniques can be further improved by fine-tuning their configuration and used in broad ranges of area.
Testing is a critical activity to find software errors. And choosing an effective test suite is the key problem in software testing area. Program invariant, as an attribute of program, can record the implementation st...
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Self representation problem is very important for the negative selection algorithms. In this paper, two methods, named as K-NN-ASR and B-NN-ASR, are proposed to calculate the self radius of a self sample in the contin...
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Differential Evolution is one kind of Evolutionary Algorithms, which has been successfully applied to solve many optimization problems. In this paper, a directed differential mutation (DDM), which utilizes the directi...
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Sea-land segmentation is a key step for target detection. Due to the complex texture and uneven gray value of the land in optical remote sensing image, traditional sea-land segmentation algorithms often recognize land...
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Edge is a basic feature in the field of computing vision. So to find edge saliency map is an indispensable operation for many applications on image processing. In this paper we present a fast algorithm to find edge sa...
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SIFT judge the true or false targets according to the density of matching feature points. But for different images, the numbers of matching feature points are different, the density is different. So SIFT can't jud...
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Time vector series abound in many fields, which are different from time series. Based on mapping and implicit function interpolation, the method of implicit interpolation over time vector series is developed and studi...
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