The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
We would like to welcome you to the International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR 2017), which is held in Ningbo, China, July 9–12, 2017. ICWAPR is an ongoing and stimulating research event emphasizing a unique synergy between the area of pattern recognition and wavelet analysis. ICWAPR2017 is the 14th of the series of international conferences on wavelet theory and...
It is our pleasure to serve as the Chairs of Program Committee of the International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR) 2017, which is held in Ningbo, China. With its 17-year history (formerly known as the International Conference on Wavelet Analysis and Its Applications), ICWAPR became the most prestigious technical meeting bringing together a large number of scientists...
The classical soft rough set theory offers a formal theoretical framework for solving the uncertainty under a single granulation environment. However, it is noticeable that the soft rough set theory cannot be applied in the situation of multigranulation in the real world. To address this issue, in this paper we firstly present two types of multigranulation soft rough sets, which are the optimistic...
More and more attentions have been paid to the research of echolocation signals of tooth whales these years. However, due to the high-frequency characteristics of the signals, the sampling rate of many of the experimental data can be up to 500 kHz or even 2000 kHz, which lead to a huge amount of experimental data, this bring some difficulties to the follow-up storage and analysis work. However, due...
The direct weight structure is proposed to improve the performance of the phase array radar. Phase array radar is becoming more and more popular in the military. The angle estimation is one of the most important parts of the phase array radar application. In order to obtain good angle estimation accuracy, the direct weight structure is proposed. The simulation results show that the proposed scheme...
In recent years, name disambiguation has become one of the hot topics to be resolved in natural language processing and information extracting. This paper introduces the meaning of research and theories of name disambiguation and briefly reviews the feature extraction, similarity calculation, clustering algorithm and evaluation method which enables readers to form a preliminary understanding on name...
In order to improve the accuracy of wind speed prediction, the paper proposed a brand new prediction model, called the nonlinear least squares autoregressive moving average model, which based on the wavelet decomposition and reconstruction. Firstly, this model introduces the wavelet transform, which decomposes the original non-stationary wind speed sequence into a relatively stable sequence; Then...
The adaptive weight at the subarray level is very important for the phase array radar. The phase array radar is widely used in the modern military. The adaptive weight algorithms are proposed to perform the interference decrease at the subarray level. In addition, the main lobe maintains good performance. The float calculation error effect is introduced and the importance of the float calculation...
Single training sample face recognition(STSFR) is a tricky problem. It can cause a sharp decline in face recognition(FR) rate since each person only has one training sample. To solve this problem, a novel expanding sample method is proposed in this paper. Based on the fact that the intra-class facial variations can be shared across different persons, the intra-class facial variations are used to expand...
Deep learning is used for learning better features through constructing a model of machine learning, which contains a lot of hidden layers. At present, deep learning is widely used in face recognition. But faces of different ages, facial expressions and other changes will affect the result of face recognition. The human ear is not affected by different ages, facial expressions, makeups and so on,...
We present a lapped directional wavelet transform. The directional selectivity of the wavelet transform is improved by using a redundant polyphase decomposition. The proposed transform is biorthogonal, and the set of two-dimensional directional filters used for the discrete wavelet transform is based on B-spline functions. Using a modified lifting scheme, we introduce a systematic design method and...
The adaptive digital beamforming is very important for the phase array radar. The subarray level beamforming is applied since the number of antenna element of phase array radar is very large. In addition, the derivation of the adaptive weight vector is shown. The maintenance of the main lobe is introduced to obtain good performance of the system. The simulation results show that the proposed method...
This paper proposes a novel Multi-Focus Image-Fusion algorithm based on Non-Uniform Rectangular Partition (NURP). In NURP, some bivariate polynomials over partitioned girds are obtained to represent the image pixels. Usually, in the same area, partitioned grid number and size in the clearer sub-image will be greater and smaller than those in blurry sub-image. Therefore, by comparing the partition...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.