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An Android based English phoneme mobile learning platform is built in accordance with the characteristics of English speech. The speech evaluation method of feature comparison is created by using Melfrequency Cepstrum Coefficients and adopting dynamic time warping. An empirical study was made to test the effectiveness of the system on phoneme learning. 32 participants received phoneme training in...
Objects are often occluded in cluttered real-world environments, but how to detect occluded objects effectively is seldomly studied. In this paper, we introduce an approach to identify and localize occluded objects by taking advantage of RGB-D data from a RGB-D camera, such as a Microsoft Kinect. Our approach identifies an object based on features of its geometrical surfaces obtained from segmentation...
This paper introduces a probabilistic graphical model for continuous action recognition with two novel components: substructure transition model and discriminative boundary model. The first component encodes the sparse and global temporal transition prior between action primitives in state-space model to handle the large spatial-temporal variations within an action class. The second component enforces...
Pedestrian detection from images is an important and yet challenging task. The conventional methods usually identify human figures using image features inside the local regions. In this paper we present that, besides the local features, context cues in the neighborhood provide important constraints that are not yet well utilized. We propose a framework to incorporate the context constraints for detection...
Vein image recognition based on modeling shape or geometrical layout of feature points is generative approach, and the performance is usually limited by segmentation error due to poor vein image quality. This paper instead proposes to model the discriminative appearance of local image patch using the vocabulary tree model. The discriminative approach is further extended to consider the geometrical...
The energy-saving gap of building is serious. In practical matters of building engineering, the input process of time-varying system can be divided into several stages. In every stage, the system has its own rules and features. At present, various evaluation methods are slow in solving this matter. Cascade neural network can properly describe the growth continuity of each part of building energy-saving...
This article has conducted the research to food security risk early warning under the supplied chain environment by the BP neural network. The paper has constructed food security risk early warning model and simulated to it. The result has proven BP neural network model serviceability and the feasibility.
This paper introduces a new approach to establish a good grasp for a novel object quickly. A comprehensive knowledge base for grasping is learned that takes into account the geometrical and physical knowledge of grasping. To automate the learning process as much as possible, learning happens in a virtual environment. We used the GraspIt! simulation environment with the Barrett hand for this work....
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