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In this paper, we study the class imbalance problem in statistical background subtraction. Firstly, we discuss the imbalance essence in background subtraction, and conclude that foreground and background are inherently imbalanced. Secondly, following the imbalanced learning strategy in machine learning, we present a spatio-temporal over-sampling method to resolve the class imbalance in background...
This paper addresses the problem of co-saliency detection, which aims to identify the common salient objects in a set of images and is important for many applications such as object co-segmentation and co-recognition. First, the segmentation driven low-rank matrix recovery model is used for intra saliency detection in each individual image of the image set, to highlight the regions whose features...
The ubiquitous spin-orbit interaction destroys the particles' spin rotational symmetry and introduces a universal transverse spin current. Here we show that an anomalous refracting metasurface induces a controllable spin-orbit interaction and a path-dependent polarization rotation.
We demonstrate nonparaxial Mathieu and Weber accelerating beams, generalizing the concept of previously found accelerating beams. Such beams bend into large angles along elliptical or parabolic trajectories but still retain nondiffracting and self-healing capabilities.
Achieving power efficiency is a very critical issue in today's data centers and other information processing and storage facilities. In this paper we focus on data layout strategies for conserving energy in de-duplication storage systems. We introduce a method to find the least-cost configuration that meets known targets for de-duplication performance (as well as fault-tolerance) while archiving energy...
As a rectangular enclosure with apertures can be represented by a waveguide with its termination short circuited, the shielding effectiveness of the enclosure is calculated by the transmission line model. The voltage along the transmission line is obtained analytically, and the calculated shielding effectiveness fits well to the previous reference. Slots in different shapes are discussed, and multimodes...
As the explosive growth of online linked data, the task of mining link patterns attracts more and more attention. A practical issue is how to perform mining efficiently in large-scale linked data. Existing pattern mining algorithms usually assume that the dataset can fit into the main memory, while linked data of billion triples is far beyond the memory limitation. In this paper we give a pilot study...
According to the feature of the direction of fractures in image logging, a method of fracture detection in image logging based on directional filtering is presented in this paper. The fracture image is filtered by the corresponding filter based on the local direction of fractures, which enhances the fracture traces in the direction of fractures in image logging. The final fracture traces are extracted...
Existing pattern mining algorithms typically assume that the dataset can fit into the main memory, while large graph datasets cannot satisfy this condition. Thus mining patterns in large-scale linked data is still a challenge. In this paper we propose a new partition-based approach for pattern mining in linked data which is composed of three steps: dividing linked data into connected typed object...
Abstract - Software testing is a significant investigation during software development, which is conducted to produce information about the quality of the product or service under test. An automatic visualization tool will greatly improve the effectiveness and efficiency of the analysis of testing results. Current visualization tools focus on defects location and version maintenance, but lack of consideration...
In this paper, new classes of generalized invex functions called B - (p, r, a)-invex, B - (p, r, a)-quasi invex and B - (p, r, a)-pseudo invex functions are introduced, which are defined by relaxing the definitions of B - (p, r)-invex, B - (p, r)-quasi-invex, B - (p, r)-pseudo-invex functions, then generalized minimax fractional programming involving such functions is reseached, the sufficient conditions...
Interactive object segmentation is widely used for extracting any user-interested objects from natural images. A common problem with many interactive segmentation approaches is that the object segmentation quality is degraded due to inaccurate object/background seeds provided by the user. This paper proposes an iterative adjustable graph cut to efficiently solve this problem. First, object/background...
Phrase translation pairs are very useful for bilingual lexicography, machine translation system, cross-lingual information retrieval and many applications in natural language processing. Linguistics knowledge in lexicon and statistics information in corpus can be used for extracting phrase translation pairs. In this paper, we propose a new method to extract phrase translation pairs based on aligning...
Information query is an important basic function in MIS. Nowadays cell phones are rapidly growing popularity, thus in order to develop MIS applications, it is very significant to research the way of using messages to the query of MIS system. A design method about universal MIS query system which is based on SMS is introduced in this paper.
Most of the methods of Chinese chunking are to re-realize the method of English chunking so as to identify Chinese phrases, which is not only waste manpower but also waste time. In this paper, a multi-agent strategy for English chunking is proposed first, whose F??-1 value reaches 95.70%,which is higher than other else methods. Next, through replacing the English part of speech , phrase tags and repository...
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