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Since the emergence of extensive multivariate data, feature fusion has been more and more important. Most conventional methods of feature fusion do not pay sufficient attention to inherent geometric properties of data, even in the case where the data have spatial features. Therefore, how to fuse multiple features in a more intuitive way is still an open problem. A new strategy of parallel graphical...
In recent years, the State Grid has built amounts of business systems, e.g. OA, marketing and MIS systems. And it gradually developed into big data. However, with the construction of information increasingly deepening and a sharp increase of data volume, new challenges and inconvenience have been brought out for data seekers. In this paper, an architecture model of data integration in power field...
Sparse representation, which represents the test sample as a linear combination of the whole training samples, achieved great success in face recognition. It can obtain a good performance if there exist enough training samples. However, the number of face images of a subject is usually limited in real face recognition systems. In this paper, in order to obtain more representations of a face, we propose...
LBP (Local Binary Pattern) is a commonly used operator to extract LBPH (LBP histogram) of an image for local texture description. For gender classification, we proposed an innovative method by extracting multi-scale LBPH in DoG (Difference of Gaussian) space in this paper. Given a facial image, we firstly preprocess it meticulously to avert the local variations of images which probably be caused by...
Local Binary Pattern (LBP) feature has attracted increasing interest in pedestrian detection tasks, but it requires high dimensionality to gain promising performance. To address this problem, we make three main contributions. First, Center-Symmetric Local Binary Patterns (CSLBP) feature is introduced to pedestrian detection. It's the first time to extract CSLBP operator in an approach similar to basic...
Retrieving book covers in web images or in specified database has a wide application prospect, from electronic commerce to picture search. We describe a book cover retrieval system based on enhanced SIFT descriptor by incorporating “binary string” descriptor. Furthermore, a new error recovery based on angle difference of the matching pairs is integrated into the SIFT matching method. Experiments demonstrate...
With the widespread of the Internet in recent years, various e-Learning systems are introduced in the universities. However, they are not necessarily used because of high cost, contents copyright and time-consuming contents making problems. In fact, the blended learning combined with traditional learning and e-Learning is often introduced in the universities. Then, the similar blended system is often...
The tight coupling between the data and the layout of the spreadsheets is one of the important problems in spreadsheet systems. The existing solutions are lack of flexibility and inefficiency in data retrieval. To improve the performance, a concept of data semantic object is introduced which encapsulate the data and its semantic in an object. The objective is to decouple the data and structure in...
Current face recognition methods are mainly based on face database. Face recognition task in natural environment demands face recognition algorithm has the rejection capability for the face samples out of face database, but existing methods lack this rejection ability for non-target samples. In this paper, a new hierarchical face recognition algorithm is proposed which can reject non-database test...
In this paper we present an audio fingerprinting (AF) system for song identification. For the high dimensional audio fingerprint data, two AF searching algorithms were proposed and implemented: principle component analysis (PCA) and the summation of the corresponding data between different frames. The experimental results show that applying PCA algorithm, the accuracy is 94.98% while the search time...
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