POLYNOMIAL FEATURES FOR ROBUST FACE AUTHENTICATION Conrad Sanderson and Kuldip K. Paliwal School of Microelectronic Engineering Grif?th University Brisbane, QLD 4111, Australia ABSTRACT In this paper we introduce the DCT-mod2 facial feature extraction technique which utilizes polynomial coef?cients derived...
Bit Polynomial Authentication using Facial Recognition Technique Now a day's face recognition is used to provide security to the network users. This paper proposes the method for extraction of facial features and generation of complex polynomial which is being used to overcome this security concern.....
Features and Polynomial Regression(多项式回归) 改变特征和假设函数有多重方法。 我们可以将多个功能组合成一个。例如,我们可以通过取x1·x2将x1和x2组合成新的特征x3。 Polynomial Regression 如果不符合数据,我们的假设函数不需要是线性的(直线). 我们可以通过使其成为二次,立方或平方根函数(或任何其他形式)来改...
However, dimensionality of polynomial representation can be prohibitively large, making acoustic model training using polynomial features infeasible for large vocabulary ASR systems. This paper presents a multi-layer polynomial training framework for acoustic modeling, which recursively expands the acoustic ...
This paper proposes a method that speeds up a classifier trained with many con- junctive features: combinations of (prim- itive) features. The key idea is to pre- compute as partial results the weights of primitive feature vectors that appear fre- quently in the target NLP task. A trie co...
Comprehensive univariate polynomial class. All arithmetic performed symbolically. Some advanced features include: Arithmetic of polynomial rings over a finite field, the Tonelli-Shanks algorithm, GCD, exponentiation by squaring, irreducibility checking,
A facial expression recognition method based on local Gabor filter bank and fractional power polynomial kernel PCA is presented for this problem in this paper. Local Gabor filter bank can overcome the disadvantage of the traditional Gabor filter bank, which needs a lot of time to extract Gabor ...
Non-Gaussian topological featuresGroup-Method of Data Handling (GMDH) has been recognized as a powerful tool in machine learning. It has the potential to build predictive neural network models of polynomial functions using only a reduced set of features which minimizes the prediction error. This ...
The fuzzy relationships between CCS and microstructural image features are built as the "if-then" format using the polynomial-based radial basis function networks with Gaussian mixture model (GMM-PRBFNNs) from microtomography images. The GMM-PRBFNNs are proposed to improve the performance by using...
Particular emphasis is given to the focus, vertex, intercepts and directrix of this relationship and we also briefly examine the impact of choosing different a priori scores on these features. The R function, parabola.exe(), used to perform these calculates is included as supplementary material ...