In this paper, a novel discriminant analysis method for a Gabor-based image feature extraction and representation is proposed and then implemented. The horizontal and vertical two-dimensional principal component analysis (HV-2DPCA) is directly applied to a Gabor face to reduce the redundant information and preserve a bi-directional characteristic as well. It is followed by an enhanced Fisher li...

Most casual users of IR systems type short queries. With current indexing technologies, short queries return enormous amount of results that may be impossible to examinate carefully. If users not find what they are looking for between the first 10/100 results, they may stop searching, losing the important results wrongly ranked by the search engine. While users generally know what they are look...

Feature extraction techniques based on selection of highly discriminant Fourier filters have been developed for an automated classification of magnifying endoscope images with respect to pit patterns of colon lesions. These are applied to duodenal imagery for diagnosis of celiac disease. Features are extracted from the Fourier domain by selecting the most discriminant features using an evolutio...

A set of features is evaluated for recognition of musical instruments out of monophonic musical signals. Aiming to achieve a compact representation, the adopted features regard only spectral characteristics of sound and are limited in number. On top of these descriptors, various classification methods are implemented and tested. Over a dataset of 1007 tones from 27 musical instruments, support ...

We propose discriminant methods for deriving twodimensional spectrotemporal features for phoneme recognition that are estimated to maximize the separation between the representations of phoneme classes. The linearity of the filters results in their intuitive interpretation enabling us to investigate the working principles of the system and to improve its performance by locating the sources of e...

We propose the use of a hierarchical, two-stage discriminant transformation for obtaining audio-visual features that improve automatic speech recognition. Linear discriminant analysis (LDA), followed by a maximum likelihood linear transform (MLLT) is first applied on MFCC based audio-only features, as well as on visualonly features, obtained by a discrete cosine transform of the video region of...

Registration of an image, the query or reference, to a database of rotated and translated exemplars constitutes an important image retrieval and indexing application which arises in biomedical imaging, digital libraries, georegistration, and other areas. Two important issues are the specification of a class of discriminatory and generalizable image features and determination of an appropriate i...