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NPL
2006
172views more  NPL 2006»
13 years 7 months ago
Adapting RBF Neural Networks to Multi-Instance Learning
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
Min-Ling Zhang, Zhi-Hua Zhou
WWW
2008
ACM
13 years 7 months ago
Divide, Compress and Conquer: Querying XML via Partitioned Path-Based Compressed Data Blocks
We propose a novel Partition Path-Based (PPB) grouping strategy to store compressed XML data in a stream of blocks. In addition, we employ a minimal indexing scheme called Block S...
Wilfred Ng, Ho Lam Lau, Aoying Zhou
TNN
2010
234views Management» more  TNN 2010»
13 years 2 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
POPL
2009
ACM
14 years 8 months ago
Modular code generation from synchronous block diagrams: modularity vs. code size
We study modular, automatic code generation from hierarchical block diagrams with synchronous semantics. Such diagrams are the fundamental model behind widespread tools in the emb...
Roberto Lublinerman, Christian Szegedy, Stavros Tr...
SCALESPACE
2007
Springer
14 years 1 months ago
Piecewise Constant Level Set Method for 3D Image Segmentation
Level set methods have been proven to be efficient tools for tracing interface problems. Recently, some variants of the Osher- Sethian level set methods, which are called the Piece...
Are Losnegård, Oddvar Christiansen, Xue-Chen...