The distinguishment between the object appearance and the background is the useful cues available for visual tracking, in which the discriminant analysis is widely applied. However, due to the diversity of the background observation, there are not adequate negative samples from the background, which usually lead the discriminant method to tracking failure. Thus, a natural solution is to constru...

Supervised dimensionality reduction with tensor representation has attracted great interest in recent years. It has been successfully applied to problems with tensor data, such as image and video recognition tasks. However, in the tensor based methods, how to select the suitable dimensions is a very important problem. Since the number of possible dimension combinations exponentially increases w...

In this paper, we present a technique for the extraction of the five main visemes produced in natural speech for German. The method belongs to the LDA (Linear Discriminant Analysis) family. The intensity, the edges, and the line segments are used to locate the lips automatically and for viseme classification. Using many features in the recognition maximizes the probability of recognition rate. ...

Extant Green IT practices and reports reveal that many organizations implementing Green IT face the problem of sustaining Green IT initiatives to gain long term advantage. This study attempts to address the issue by proposing a sustainability model for Green IT initiatives. It evaluates longitudinal changes in Green IT environmental performance of 24 firms featured in the top Green IT rankings ...

In this work we explore the capability of audiovisual parameters (such as fundamental frequency, rhythm, head motion or facial expressions) to discriminate among different dramatic attitudes. We extract the audiovisual parameters from an acted corpus of attitudes and structure them as frame, syllable, and sentence-level features. Using Linear Discriminant Analysis classifiers, we show that sent...

Firms venturing abroad understand and rarely deny the significant role that information plays in export promotion. Nevertheless, the common misconception that can potentially threaten the business judgment of most exporters is that ‘the more information you know, the better it is for your firm’. Unbeknownst to them, it is the value (and not magnitude) of information that will contribute to the ...

In this paper we study the properties of a kurtosis matrix and propose its eigenvectors as interesting directions to reveal the possible cluster structure of a data set. Under a mixture of elliptical distributions with proportional scatter matrix, it is shown that a subset of the eigenvectors of the fourth-ordermomentmatrix corresponds to Fisher’s linear discriminant subspace. The eigenvectors ...

To achieve adequate description of an understudied tone language, we argue for unsupervised computational modeling of lexical tone, even at the earliest stages of documentation. We apply a technique using eigenvalues and discriminant analysis to differentiate lexical tones on monosyllabic items in Iu Mien. The resulting ‘eigenpitch’ representations can be used to evaluate the differences and si...

Computer assisted language learning (CAPT) has been shown to be effective for learning non-natives pronunciation details of a new language. No automatic pronunciation evaluation system exists for non-native Norwegian. We present initial experiments on the Norwegian quantity contrast between short and long vowels. A database of native and non-native speakers was recorded for training and test re...

To evaluate the applicability of near infrared (NIR) spectroscopy for discrimination between mature vinegar with different marked age (1 year, 3 years, and 5 years), transmission spectra were collected in the spectral range from 800 nm to 2500 nm in 1, 2, and 5 mm optical path-length rectangular quartz cuvettes with air as reference at room temperature. Discriminant models were developed based ...