نتایج جستجو برای: features extraction
تعداد نتایج: 669509 فیلتر نتایج به سال:
Some well known theoretical results concerning the universal approximation property of MLP neural networks with one hidden layer have shown that for any function f from [0, 1] to , only the output layer weights depend on f . We use this result to propose a network architecture called the predictive Kohonen map allowing to design a new speech features extractor. We give experimental results of t...
In recent years, JavaScript-based attacks have become one of the most common and successful types of attack. Existing techniques for detecting malicious JavaScripts could fail for different reasons. Some techniques are tailored on specific kinds of attacks, and are ineffective for others. Some other techniques require costly computational resources to be implemented. Other techniques could be c...
The basic phases in text categorization include preprocessing features, extracting relevant features against the features in a database, and finally categorizing a set of documents into predefined categories. Most of the researches in text categorization are focusing more on the development of algorithms and computer techniques. An algorithm for pre-processing features is seem to be like a "bla...
Invariant feature extraction is one of the most difficult problems in machine vision. Human face detection and recognition have recently become an important application area of computer vision. In this paper, a novel illumination, translation, rotation, and scale invariant feature extraction method based on Gabor filtering is introduced. The proposed method is successfully applied to invariant ...
In Video Surveillance System, the surveillance of video in its different application such as performing real time online event detection, crime prevention, scene analysis and offline analysis and retrieval of interested events requires very huge computation and memory too. Key frame Extraction (KFE) is selection of frames which represents the object moves and changes in subsequent frames in the...
Mobile communication devices now available on the market, such as so-called smartphones, are far more advanced than the first cellular phones that became very popular one decade ago. In addition to their historical purpose, namely enabling wireless vocal communications to be established nearly everywhere, they now provide most of the functionalities offered by computers. As such, they hold an e...
In this paper, with due respect to the original data and based on the extraction of new features by smaller dimensions, a new feature reduction technique is proposed for Hyper-Spectral data classification. For each pixel of a Hyper-Spectral image, a specific rational function approximation is developed to fit its own spectral response curve (SRC) and the coefficients of the numerator and denomi...
introduction: brain computer interface (bci) systems based on movement imagination (mi) are widely used in recent decades. separate feature extraction methods are employed in the mi data sets and classified in virtual reality (vr) environments for real-time applications. methods: this study applied wide variety of features on the recorded data using linear discriminant analysis (lda) classifier...
Orientation features of the palmprint are usually used in palmprint recognitionmethods. Conventional orientation basedmethods are always based on an assumption that the line in a palmprint is straight and possesses only a single dominant orientation. However, a large number of “lines” in a palmprint are curves. The point in these curves usually has two dominant orientations. Moreover, it can be...
The use of Computational Fluid Dynamics (CFD) has become standard practice in the design and development of the major components used for air and space propulsion. To aid in the post-processing and analysis of CFD results, many researchers now use automated feature extraction utilities. These tools can be applied in order to detect the existence of such features as shocks, vortex cores and sepa...
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