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PROCEDIA
2010
80views more  PROCEDIA 2010»
13 years 7 months ago
Visualising spins and clusters in regular and small-world Ising models with GPUs
Visualising computational simulation models of solid state physical systems is a hard problem for dense lattice models. Fly throughs and cutaways can aid viewer understanding of a...
Arno Leist, Daniel P. Playne, Kenneth A. Hawick
CIDU
2010
13 years 7 months ago
Multi-label ASRS Dataset Classification Using Semi Supervised Subspace Clustering
There has been a lot of research targeting text classification. Many of them focus on a particular characteristic of text data - multi-labelity. This arises due to the fact that a ...
Mohammad Salim Ahmed, Latifur Khan, Nikunj C. Oza,...
CORR
2007
Springer
109views Education» more  CORR 2007»
13 years 9 months ago
Self-Organising management of Grid environments
: This paper presents basic concepts, architectural principles and algorithms for efficient resource and security management in cluster computing environments and the Grid. The wor...
Ioannis Liabotis, Ognjen Prnjat, Temitope Olukemi,...
EMMCVPR
2009
Springer
14 years 3 months ago
Clustering-Based Construction of Hidden Markov Models for Generative Kernels
Generative kernels represent theoretically grounded tools able to increase the capabilities of generative classification through a discriminative setting. Fisher Kernel is the fi...
Manuele Bicego, Marco Cristani, Vittorio Murino, E...
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
14 years 9 months ago
A parallel learning algorithm for text classification
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
Canasai Kruengkrai, Chuleerat Jaruskulchai