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DCC
2006
IEEE
14 years 7 months ago
Compression and Machine Learning: A New Perspective on Feature Space Vectors
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
D. Sculley, Carla E. Brodley
CEC
2007
IEEE
13 years 10 months ago
A novel general framework for evolutionary optimization: Adaptive fuzzy fitness granulation
— Computational complexity is a major challenge in evolutionary algorithms due to their need for repeated fitness function evaluations. Here, we aim to reduce number of fitness f...
Mohsen Davarynejad, Mohammad R. Akbarzadeh-Totonch...
IJCAI
2007
13 years 9 months ago
Semantic Smoothing of Document Models for Agglomerative Clustering
In this paper, we argue that the agglomerative clustering with vector cosine similarity measure performs poorly due to two reasons. First, the nearest neighbors of a document belo...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
AIIA
2003
Springer
14 years 1 months ago
Image-Based Monte-Carlo Localisation without a Map
In this paper, we propose a way to fuse the image-based localisation approach with the Monte-Carlo localisation approach. The method we propose does not suffer of the major limitat...
Emanuele Menegatti, Mauro Zoccarato, Enrico Pagell...
EUROPAR
2005
Springer
14 years 1 months ago
Integrating Mobile Devices into the Grid: Design Considerations and Evaluation
Mobile devices increasingly offer functionality beyond the one provided by traditional resources – processor, memory and applications. This includes, for example, integrated mul...
Stavros Isaiadis, Vladimir Getov