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In this paper, we make a contrastive study on the learning mechanism between Chinese-led bi-cultural teleworking teams and Norwegian-led bi-cultural teleworking teams from basic learning mechanism and remote learning mechanism. And then, we analyze the impact of cultural differences on learning mechanism, which is further verified through a typical case analysis. Finally, we give several suggestions...
Planning techniques recorded a significant progress during recent years. However, many planning problems remain still hard even for modern planners. One of the most promising approaches is gathering additional knowledge by using learning techniques. Well known sort of knowledge - macro-operators, formalized like 'normal' planning operators, represent a sequence of primitive planning operators. The...
The goal of semi-supervised learning (SSL) methods is to reduce the amount of labeled training data required by learning from both labeled and unlabeled instances. Macskassy and Provost (2007) proposed the weighted-vote relational neighbor classifier (wvRN) as a simple yet effective baseline for semi-supervised learning on network data. It is similar to many recent graph-based SSL methods and is shown...
The classification of Raman spectra is useful in identification and diagnosis applications. We have obtained Raman spectra from bacterial samples using three different species of bacteria. Before any form of classification can be carried out on the Raman spectra it is important that some form of normalization is used. This is due to the nature of the readings obtained by the acquisition equipment...
This paper describes a method for the detection, tracking and recognition of lower arm and hand movements from color video sequences using a linguistic approach driven by motion analysis and clustering techniques. The novelty of our method comes from (i) automatic arm detection, without any manual initialization, foreground or background modeling, (ii) gesture representation at different levels of...
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