This paper presents a very simple but efficient algorithm to normalize all motion data in database with same skeleton length. The input motion stream is processed sequentially while the computation for a single frame at each step requires only the results from the previous step over a neighborhood of nearby backward frames. In contrast to previous motion retargeting approaches, we simplify the ...

The raw data from a cDNA microarray experiment consist of pairs of image files. Pre-processsing steps such as image anlysis and normalization are required to extract reliable measures of the fluorescence intensities and allowed comparisons within and between slides. All images were processed by Spot with foreground seeds set to 5 pixels square. In addition, within and between slide normalizatio...

In this study, we introduce the new sensitivity normalizations of electrical impedance and electrical capacitance tomography. Moreover, in electromagnetic tomography, we proposed the irrationality of linear normalization of sensitivity matrix, thence the new sensitivity normalization model was established based on the analytical formula. The formula of the new sensitivity normalization was give...

Feature extraction and feature normalization is an important preprocessing technique, usually employed before classification. Feature normalization is a useful step to restrict the values of all features within predetermined ranges. However, appropriate choice of normalization technique and normalization range is an important issue, since, applying normalization on the input could change the st...

Thanks I would like to thank Dr. Peter Kovesi and Dr. Gabriel Peyré for the permission to use some of their functions in the toolbox. I would also like to thank Alpineon Ltd and the Slovenian Research Agency (ARRS) for funding the postdoctoral project BAMBI (Biometric face recognition in ambient intelligence environments), which made the INFace toolbox v2.0 possible. Foreword The INFace (Illumi...

Text normalization and part-of-speech (POS) tagging for social media data have been investigated recently, however, prior work has treated them separately. In this paper, we propose a joint Viterbi decoding process to determine each token’s POS tag and non-standard token’s correct form at the same time. In order to evaluate our approach, we create two new data sets with POS tag labels and non-s...

Saliency-based visual attention models provide visual saliency by combining the conspicuity maps relative to various visual cues. Because the cues are of different nature, the maps to be combined show distinct dynamic ranges and a normalization scheme is therefore required. The normalization scheme used traditionally is an instantaneous peakto-peak normalization. It appears however that this sc...

Various models have been developed for normalizing informal text. In this paper, we propose two methods to improve normalization performance. First is an unsupervised approach that automatically identifies pairs of a non-standard token and proper word from a large unlabeled corpus. We use semantic similarity based on continuous word vector representation, together with other surface similarity ...

We consider an intersection type assignment system for term rewriting systems extended with application, and define a notion of (finite) approximation on terms. We then prove that for typeable rewrite systems satisfying a general scheme for recursive definitions, every typeable term has an approximant of the same type. This approximation result, and the proof technique developed to obtain it, a...