In pattern recognition applications with high number of input features and insufficient number of samples, the curse of dimensionality can be overcome by extracting features from smaller feature subsets. The domain knowledge, for example, can be used to group some of the features together, which are also known as “views”. The features extracted from views can later be combined (i.e. stacking) t...

In this paper, we describe our method used to achieve our results which was submitted to the Recognition Task of the challenge. As for video features, we combined our proposed feature [1] and the dense trajectories based feature presented in [2]. We employed Fisher Vector encoding to represent videos using these features and trained multiclass linear SVMs to perform action recognition. We condu...

We present a spectral mapping technique for semisupervised pattern classification. Importance scores of features are firstly evaluated with a semi-supervised feature selection algorithm by Zhao et al. Training data are then embedded into a low-dimensional space with a spectral mapping derived from the selected and weighted feature vectors with which test data are classified by the nearest neigh...

alzheimer’s disease (ad) is one of the most expensive and fatal disease in elderly population. up to now no cure have been found for ad, so early stage diagnosis is the only way to control it. mild cognitive impairment (mci) usually is the early stage of ad which is defined as decreasing in mental abilities such a cognition, memory and speech not too severe to interfere daily activities. mci di...

Recent studies have attempted to recognize emotions by extracting spectral and fractal features from electroencephalographic signals; however, up to now none of them have combined these two features to recognize emotions. This paper aims at providing a comparison between an accuracy rate of an approach that recognizes emotions by extracting both spectral and fractal features with that of those ...

detection of lymph nodes (lns) involvement by various pathological processes has great therapeutic and prognostic implications. the purpose of this study was to evaluate the usefulness and accuracy of triplex sonography (gray scale, color mapping and spectral doppler) in differentiating benign from malignant cervical lns. we used triplex sonography to evaluate 120 lns in 50 patients. the gray s...

Purpose: To assess three main emotions (happy, sad and calm) by various classifiers, using appropriate feature extraction and feature selection. Materials and Methods: In this study a combination of Power Spectral Density and a series of statistical features are proposed as statistical-frequency features. Next, a feature selection method from pattern recognition (PR) Tools is presented to e...

ÐIn this paper, we present a technique using Markov models with spectral features for recognizing 2D shapes. We will analyze the properties of Fourier spectral features derived from closed contours of 2D shapes and use these features for 2D pattern recognition. We develop algorithms for reestimating parameters of hidden Markov models. To demonstrate the effectiveness of our models, we have test...