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With the rising popularity of mobile devices, recent years have witnessed a growing interest in document image retrieval (DIR). In conventional Bag-of-Visual-Words (BoVW) based document image retrieval method, only SIFT or SURF feature is used to locate feature points and produce a codebook, which has a low discriminative power. Though several multiple feature based BoVW methods are proposed, these...
Though Fisher score is a representative and effective feature selection method, it has an unsolved drawback: it either evaluates the features individually and selects the top features, or selects features using the sequential search strategies. The individual-method ignores the mutual relationship among the selected features while the sequential-methods always suffer from heavy computation. In this...
Several emotion eliciting models have been proposed in the literature, however most of them are still artificial models which ignore the biological basis. We propose an emotion (without awareness) eliciting model from visual stimuli, which is inspired by biology: we describe an emotion eliciting process that follows the circuits of emotion in the brain derived through the results of neuroscience and...
This paper proposes a new biologically inspired emotional attention model to expand existing visual attention models by considering emotional impact on attention. In our work, we combine color emotion activity and emotional arousal with visual spatial locations. In the experiments, an affective picture dataset and an eye-tracking dataset are used to test our proposed model. Experimental results show...
A global localization method is proposed for mobile robot. This algorithm is based on Bayesian filtering theory and Markov process. A set of particles is utilized to describe the distribution of robot localization. The set is updated according to the map information and sonar data step by step. In this way the particles converge to the true localization rapidly. In this paper, the map is recorded...
A modified APF (artificial potential field) based method is proposed for mobile robot path planning. To address the local minima problem in the classical APF, a method composed of robot regression and potential field filling is proposed. Furthermore, by adjusting potential field in the environment dynamically, the collision problem is also well settled. Simulation experiments, in which eight sonar...
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