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Miao Feng and Jean Meunier
Recognizing human actions can help in numerous ways, such as health monitoring, intelligent surveillance, virtual reality and human?computer interaction. A quick and accurate detection algorithm is required for daily real-time detection. This paper first...
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Steve de Rose, Philippe Meyer and Frédéric Bertrand
Accurate sizing systems of a population permit the minimization of the production costs of the textile apparel industry and allow firms to satisfy their customers. Hence, information about human body shapes needs to be extracted in order to examine, comp...
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Ajla Mulaomerovic-?eta, Borislava Blagojevic, Vladislava Mihailovic and Andrea Petroselli
Flood quantile estimation in ungauged basins is often performed using regional analysis. A regionalization procedure consists of two phases: the definition of homogeneous regions among gauged basins, i.e., clusters of stations, and information transfer t...
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Libero Nigro and Pasi Fränti
This paper proposes two algorithms for clustering data, which are variable-sized sets of elementary items. An example of such data occurs in the analysis of a medical diagnosis, where the goal is to detect human subjects who share common diseases to poss...
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Jean-Sébastien Dessureault and Daniel Massicotte
This paper examines the critical decision process of reducing the dimensionality of a dataset before applying a clustering algorithm. It is always a challenge to choose between extracting or selecting features. It is not obvious to evaluate the importanc...
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Xing Du, Yongfu Sun, Yupeng Song, Zongxiang Xiu and Zhiming Su
A submarine landslide is a well-known geohazard that can cause significant damage to offshore engineering facilities. Most standard predicting and mapping methods require expert knowledge, supervision, and fieldwork. In this research, the main objective ...
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Lenuta Pana, Simona Moldovanu, Nilanjan Dey, Amira S. Ashour and Luminita Moraru
Background: The purpose of this article is to provide a new evaluation tool based on skeleton maps to assess the tumoral and non-tumoral regions of the 2D MRI in PD-weighted (proton density) and T2w (T2-weighted type) brain images. Methods: The proposed ...
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Tianfu Wang, Chang Ren, Yun Luo and Jing Tian
Spatial clustering analysis is an important spatial data mining technique. It divides objects into clusters according to their similarities in both location and attribute aspects. It plays an essential role in density distribution identification, hot-spo...
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Chantelle Y. Janse van Vuuren, Hendrik J. Vermeulen
This study investigates the use of clustering methodologies as a means of reducing spatio-temporal wind speed data into statistically representative classes of temporal profiles for further processing and interpretation. The clustering methodologies...
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Fedor Krasnov
Pág. 8 - 15
Although topic models have been used to build clusters of documents for more than ten years, there is still a problem of choosing the optimal number of topics. The authors analyzed many fundamental studies undertaken on this subject in recent years. The ...
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