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Local Binary Pattern (LBP) and its variants are effective and popular descriptors for texture classification. Most LBP like descriptors have disadvantages including sensitiveness to noise and inability to capture long distance texture information. In this paper we propose a simple, efficient, yet robust multi-resolution descriptor to texture classification — Binary Rotation Invariant and Noise Tolerant...
As a central problem in computer vision and pattern recognition, data representation has attracted great attention in the past years. Non-negative matrix factorization (NMF) which is a useful data representation method makes great contribution on finding the latent structure of the data and leads to a parts-based representation by decomposing the data matrix into a few bases and encodings with nonnegative...
Indoor localization is of great importance for a range of pervasive applications, attracting many research efforts in the past two decades. Most radio-based solutions require a process of site survey, in which radio signatures are collected and stored for further comparison and matching. Site survey involves intensive costs on manpower and time. In this work, we study unexploited RF signal characteristics...
There are many problems in the construction of network education resource currently, such as the neglect of teaching needs, duplication and lack of system design. These problems restrict the development and spread of distance education, which must be resolved. Postmodernism draws extensively Behaviorism, Cognitivism, Constructivism and other learning theories. Postmodernism advocates the spirit of...
Based on small-world characteristics, the spreading inherent mechanism of cascading failures in power grid was studied in this paper. The results of the experiment show that the appearance of long-range connectivity increases the breadth and depth of spreading, so that it pushes the cascading failure to spread forward. A real-time searching system for cascading failures using the priority module is...
MicroRNAs represent a class of non-coding endogenous small RNAs ~22 nt in length that play important regulatory roles in plant growth and development. Although an explosive increase in number of plant miRNAs have been documented in recent years, by cloning or computational approaches, only limited miRNAs have been reported in potato, which is an important crop worldwide. By searching the known miRNAs...
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