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» The Dark Side of Object Learning: Learning Objects
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KDD
2010
ACM
279views Data Mining» more  KDD 2010»
14 years 22 days ago
Unifying dependent clustering and disparate clustering for non-homogeneous data
Modern data mining settings involve a combination of attributevalued descriptors over entities as well as specified relationships between these entities. We present an approach t...
M. Shahriar Hossain, Satish Tadepalli, Layne T. Wa...
AIRS
2006
Springer
14 years 18 days ago
A Novel Ant-Based Clustering Approach for Document Clustering
Recently, much research has been proposed using nature inspired algorithms to perform complex machine learning tasks. Ant Colony Optimization (ACO) is one such algorithm based on s...
Yulan He, Siu Cheung Hui, Yongxiang Sim
CSB
2004
IEEE
14 years 18 days ago
Navigating through the Biological Maze
Advances in genome science have created a surge of data. These data critical to scientific discovery are made available in thousands of heterogeneous public resources. Each of the...
Zoé Lacroix, Kaushal Parekh, Louiqa Raschid...
CIVR
2006
Springer
121views Image Analysis» more  CIVR 2006»
14 years 17 days ago
Finding Faces in Gray Scale Images Using Locally Linear Embeddings
The problem of face detection remains challenging because faces are non-rigid objects that have a high degree of variability with respect to head rotation, illumination, facial exp...
Samuel Kadoury, Martin D. Levine
GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
14 years 15 days ago
Innovization: innovating design principles through optimization
This paper introduces a new design methodology (we call it "innovization") in the context of finding new and innovative design principles by means of optimization techni...
Kalyanmoy Deb, Aravind Srinivasan