The pap-smear benchmark database provides data for comparing classification methods. The data consists of 917 images of pap-smear cells, classified carefully by cyto-technicians and doctors. The classes are difficult to separate, since class membership is not clearly defined. A basic data analysis provides numerical measures indicating how well the classes are separated, based on the Mahalanobi...

We describe a fast method for dimensionality reduction and feature selection of ratio features for classification in hyperspectral data. The case study chosen is to discriminate internally damaged almond nuts from normal ones. For this case study, we find that using the ratios of the responses in several wavebands provides better features than a subset of waveband responses. We find that use of...

In this work we provide an automatic speaker-independent word-based discrete speech recognition approach. Our proposed method consist of several processing levels. First, an word-based audio segmentation is performed, then a feature extraction is applied on the obtained segments. The speech feature vectors are computed using a delta delta mel cepstral vocal sound analysis. Then, a minimum dista...

In this paper we introduce a minimum barrier distance, MBD, defined for the (graphs of) real-valued bounded functions fA, whose domain D is a compact subsets of the Euclidean space R. The formulation of MBD is presented in the continuous setting, where D is a simply connected region in R, as well as in the case where D is a digital scene. The MBD is defined as the minimal value of the barrier s...

A method is presented for incorporating error correction using a minimum distance measure into LR parsers. The method is suitable for use by an automatic parser-generator. State information in the LR parser stack at the point of detection of error is used to generate a set of strings which are potential repairs to the input. A string with least minimum distance from the actual input is chosen a...

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 computer vision strategies used to recognize a fruit rely on four basic features which characterize the object: intensity, color, shape and texture. This paper proposes an efficient fusion of color and texture features for fruit recognition. The recognition is done by the minimum distance classifier based upon the statistical and co-occurrence features derived from the Wavelet transformed s...