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» Representation of Functional Data in Neural Networks
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MM
2004
ACM
167views Multimedia» more  MM 2004»
15 years 3 months ago
Learning an image manifold for retrieval
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
Xiaofei He, Wei-Ying Ma, HongJiang Zhang
JDM
2000
128views more  JDM 2000»
14 years 10 months ago
Distributed Database Design for Mobile Geographical Applications
Advanced Traveler Information Systems (ATIS) require e cient information retrieval and updating in a dynamic environment at di erent geographical scales. ATIS applications are use...
Manhoi Choy, Mei-Po Kwan, Hong Va Leong
KDD
2009
ACM
249views Data Mining» more  KDD 2009»
15 years 10 months ago
Drosophila gene expression pattern annotation using sparse features and term-term interactions
The Drosophila gene expression pattern images document the spatial and temporal dynamics of gene expression and they are valuable tools for explicating the gene functions, interac...
Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, ...
IJCNN
2007
IEEE
15 years 4 months ago
Agnostic Learning vs. Prior Knowledge Challenge
We organized a challenge for IJCNN 2007 to assess the added value of prior domain knowledge in machine learning. Most commercial data mining programs accept data pre-formatted in ...
Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C...
GRC
2010
IEEE
14 years 11 months ago
Learning Multiple Latent Variables with Self-Organizing Maps
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Lili Zhang, Erzsébet Merényi