Linear feature transformation technique is widely used to improve feature discriminability. It can reduce the dimensionality of the feature space, un-correlate the feature components, hence more discriminative model can be obtained. In this paper we compare three discriminative linear transformation approaches in Mandarin digit string recognition (MDSR) system. Compared with the conventional Li...

This paper describes a machine learning method, called Regression by Selecting Best Feature Projections (RSBFP). In the training phase, RSBFP projects the training data on each feature dimension and aims to find the predictive power of each feature attribute by constructing simple linear regression lines, one per each continuous feature and number of categories per each categorical feature. Bec...

Feature extraction is an important component of a pattern recognition system. It performs two tasks: transforming input parameter vector into a feature vector and/or reducing its dimensionality. A well-de3ned feature extraction algorithm makes the classi3cation process more e4ective and e5cient. Two popular methods for feature extraction are linear discriminant analysis (LDA) and principal comp...

We propose ‘Dracula’, a new framework for unsupervised feature selection from sequential data such as text. Dracula learns a dictionary of n-grams that efficiently compresses a given corpus and recursively compresses its own dictionary; in effect, Dracula is a ‘deep’ extension of Compressive Feature Learning. It requires solving a binary linear program that may be relaxed to a linear program. B...

the fuzzy linear regression model with fuzzy input-output data andcrisp coefficients is studied in this paper. a linear programmingmodel based on goal programming is proposed to calculate theregression coefficients. in contrast with most of the previous works, theproposed model takes into account the centers of fuzzy data as animportant feature as well as their spreads in the procedure ofconstr...

side weir is a flow control structure that used extensively in irrigation and drainage as well as sewer networks. throughout the present research, a study comprised of 162 experiments was done on sharp-crested semi-circular side weir. since the height in this side weir varies along its length, this feature enables it to more properly control flood than rectangular side weirs in various flood co...

A comparative workflow, including linear and non-linear QSAR models, was carried out to evaluate the predictive accuracy of models and predict the inhibition activity of a series of aryl-substituted isobenzofuran-1(3H)-ones. The data set consisted of 34 compounds was classified into the training and test sets, randomly. Molecular descriptors were selected using the genetic algorithm (GA) as a f...

Goltz syndrome or focal dermal hypoplasia is a rare syndrome with mesoectodermal hypoplasia. This syndrome is an X-linked dominant disorder with involvement of the cutaneous, ocular, dental and skeletal systems. The most significant feature of this disease is connective tissue dysplasia. Here, we report a 30-year old woman who presented with congenital unilateral linear atrophic areas on her tr...

We present a steganalysis scheme for LSB matching steganography based on feature vectors extracted from integer wavelet transform (IWT). In integer wavelet decomposition of an image, the coefficients will be integer, so we can calculate co-occurrence matrix of them without rounding the coefficients. Before calculation of co-occurrence matrices, we clip some of the most significant bitplanes of ...

In a classification problem, we are given the input x and want to find out which category it belongs to in a given label set Π. Information from the input x is often represented as a feature vector φ(x). The basic idea of linear classifiers, then, is to have a weight vector wz for each class label z, in the same dimension as φ(x), to distinguish input from different categories. The label for an...