We present in this paper a biometric system of face detection and recognition in color images. The face detection technique is based on skin color information and fuzzy classification. A new algorithm is proposed in order to detect automatically face features (eyes, mouth and nose) and extract their correspondent geometrical points. These fiducial points are described by sets of wavelet compone...

Object detection can be regarded as a pixel clustering task, and its boundary is determined by four extreme points (leftmost, top, rightmost, bottom). However, most studies focus on the center or corner of object, which are conditional results points. In this paper, we present an Extreme-Point-Prediction-Based object detector (EPP-Net), directly regresses relative displacement vector between ea...

In this paper, we analyze the compatibility of Fong’s reduction and the Glauberman correspondence of characters and then clarify that the p-solvable hypothesis in a paper of Harris and Linckelmann is not necessary. Let O be a complete discrete valuation ring with an algebraically closed residue field k of characteristic p and a quotient field K of characteristic 0. In addition, K is also assume...

Solar cell equivalent circuit modelling is usually based on continuous I-V models, with a set of data obtained by analytical expressions. This work proposes an almost discrete novel mathematical method and correspondent electrical model, the curve adjustment at every two adjacent points. It discretisation any diode model behaviour, such as 1M5P (also known 1D5P) or 1M7P 2D7P). For this reason, ...

We argue that goals serve as reference points and alter outcomes in a manner consistent with the value function of Prospect Theory (Kahneman & Tversky, 1979; Tversky & Kahneman, 1992). We present new evidence that goals inherit the properties of the value function-not only a reference point, but also loss aversion and diminishing sensitivity. We also use the value function to explain previous e...

We study a rational expectation model of bubbles and crashes. The model has two components: (1) our key assumption is that a crash may be caused by local self-reinforcing imitation between noise traders. If the tendency for noise traders to imitate their nearest neighbors increases up to a certain point called the “critical” point, all noise traders may place the same order (sell) at the same t...