An algorithmic method for assessing statistically the efficient market hypothesis (EMH) is
developed based on two data mining tools, perceptually important points (PIPs) used to …

In financial time series pattern matching, segmentation is often performed as a pre-
processing step to reduce the data points from the input sequence. The segmentation …

This paper constructs a new time series segmentation method using the financial
implications of the head-and-shoulders pattern (HS), effectively overcoming the limitations of …

Classifying chart patterns from input subsequences is a crucial pre-processing step in
technical analysis. In this paper, we compile comprehensive formal specifications of 53 chart …

This paper presents a real-time hand gesture recognizer based on a Learning Vector
Quantization (LVQ) classifier. The recognizer is formed by two modules. The first module …

Extracting shape-related features from a given query subsequence is a crucial
preprocessing step for chart pattern matching in rule-based, template-based and hybrid …

This paper presents Handy, a real-time hand gesture recognizer based on a three color
glove. The recognizer is formed by three modules. The first module, fed by the frame …

In financial markets, appearances of chart patterns in time series are commonly considered
as potential signals for imminent change in the direction of price movement. To identify chart …

This paper starts by presenting a study from a computational performance standpoint of
SAX/GA, an algorithm that uses the Symbolic Aggregate approXimation (SAX), to …

Communication is one of the basic needs of all people in the world without exception both
normal people and people with disabilities especially speech disability. In order for speech …