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Human facial expressions are key ingredient to convert an individual’s innate emotion in communication. However, the variation of facial expressions affects the reliable identification of human emotions. In this paper, we present a cloud model to extract facial features for representing human emotion. First, the uncertainties in facial expression are analyzed in the context of cloud model. The feature...
Automated human facial image de-identification is a much needed technology for privacy-preserving social media and intelligent surveillance applications. Other than the usual face blurring techniques, in this work, we propose to achieve facial anonymity by slightly modifying existing facial images into "averaged faces" so that the corresponding identities are difficult to uncover. This approach...
How to conceal the identity of a human face without covering the facial image? This is the question investigated in this work. Leveraging the high dimensional feature representation of a human face in an Active Appearance Model (AAM), a novel method called the identity subspace decomposition (ISD) method is proposed. Using ISD, the AAM feature space is deposed into an identity sensitive subspace and...
The research of finding time series motifs has received much attention recently. In an earlier work, we proposed a relatively comprehensive definition of K-motifs to mine more frequent patterns from time series datasets. However, that work has not given a method to select a better K-motif when we encounter the situation that there are several candidate K-motifs. This paper addresses the problem by...
A very promising idea for fast searching in time series databases is to map the time series into a representative space. In this paper, we propose an effective querying algorithm QoM (Querying on Motif) based on time series motifs. First, we map the time series into representative motifs by motif discovery algorithm. Second, we look for a time series data based on these motifs by QoM. The QoM can...
This paper proposes a new face image recognition method based on time series motifs. Time series motifs are previously unknown, frequently occurring patterns in time series. In this paper, we make full use of time series motifs to discovery and recognize the face images. First, we convert face images into time series by extracting the time series features from three (primary color) vectors of the...
Teaching evaluation is an effective measure to improve the teaching quality, promote teachers' teaching level, and achieve the scientific and systematic management for faculty. In this paper, we present a model of teaching evaluation in adult higher education based on decision tree, aiming to mine the valuable knowledge from the data of teachers' evaluation and archives in teaching quality evaluation...
Intelligent evaluation, as an important branch in the field of artificial intelligence, is a decision-making process of simulating the domain experts to solve complex problems. In this paper, we puts forward a kind of intelligent evaluation method based on improved Apriori, which can be used to mine different levels of association rules and evaluate the teaching quality automatically. Firstly, we...
There are many differences between human faces, but still having common characteristics. The person's facial contour can be approximated as ellipses, and the relative position of eyebrows, eyes, nose, mouth and other organs is stable in the whole face. Such shapes are similar and can provide the basis for the realization of human face synthesis. Whether in technology or in the application, human face...
In recent years, the text data of text mining has gradually become a new research topic. Among them, the study of the text clustering has attracted wide attention. This paper proposes an improved fuzzy clustering-text clustering method based on the fuzzy C-means clustering algorithm and the edit distance algorithm. We use the feature evaluation to reduce the dimensionality of high-dimensional text...
In order to improve the performance of switched reluctance driving system, it is necessary to build an accurate switched reluctance motor (SRM) model. In this paper, a nonlinear flux-linkage model and a torque model of SRM are presented by using the measured accurate flux-linkage data, torque data and nonlinear mapping ability of BP neural network, which is based on fast self-configuring algorithm...
In order to make the human facial expression recognition and analysis effectively, cloud model is used to mine the knowledge of human facial expression in this paper. Backward cloud generator without certainty degree treats the original input image as a cloud droplet image. The outputs are used to describe the three numerical characteristics-(Ex, En, He). How the three numerical characteristics of...
The traditional gray projection function was mainly utilized in eye localization. In this paper, an optimized function is proposed to simultaneously localize eyes, nose and mouth. This improvement is implemented through three steps. Firstly, by calculating the derivation of the gray projection curve, the stationary points region of eyes (nose or mouth) can be obtained. Secondly, determine the boundaries...
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