We propose to learn multiple local Mahalanobis distance metrics to perform knearest neighbor (kNN) classification of temporal sequences. Temporal sequences are first aligned by dynamic time warping (DTW); given the alignment path, similarity between two sequences is measured by the DTW distance, which is computed as the accumulated distance between matched temporal point pairs along the alignme...

One of the basic problems in data analysis lies in choosing the optimal rescaling (change of coordinate system) to study properties of a given data-set Y . The classical Mahalanobis approach has its basis in the classical normalization/rescaling formula Y 3 y → Σ Y · (y − mY ), where mY denotes the mean of Y and ΣY the covariance matrix . Based on the cross-entropy we generalize this approach a...

An electronic nose (EN) is an artificial olfactory system that tries to perform the same task as human olfactory system and widely used in the gas analysis field. EN consists of an array of chemical sensors possessing broad specificity, coupled to electronics and software that allow feature extraction – extraction of salient data for further analysis, together with pattern recognition – identif...

Preemphasis of the speech signal at higher frequencies is a preprocessing step employed in various speech processing applications. In the present paper, the effect of preemphasis on vowel recognition performance is studied. Preemphasis of the speech signal is achieved hy the r;-~.-'-"der ,4:rr . . . . . :,~ ~r . . . . . . . . . . . . . . . . . . . . . . . ,,. the speech signal. Ceostral coeffic...

The use of the Mahalanobis distance in a lookup table approach to retrieval of in-water Inherent Optical Properties (IOPs) led to significant improvements in the accuracy of the retrieved IOPs, as high as 50% in some cases, with an average improvement of 20% over a wide range of case II waters. Previous studies have shown that inherent noise in hyperspectral data can cause significant errors in...

The process of producing microarray data involves multiple steps, some of which may suffer from technical problems and seriously damage the quality of the data. Thus, it is essential to identify those arrays with low quality. Our Mahalanobis Distance Quality Control (MDQC) is a multivariate quality assessment method for microarrays that is based on the similarity of quality measures across arra...