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» A Framework for Multiple-Instance Learning
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199
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PAMI
2012
13 years 5 months ago
A Least-Squares Framework for Component Analysis
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
Fernando De la Torre
121
Voted
WWW
2007
ACM
16 years 3 months ago
A framework for rapid integration of presentation components
The development of user interfaces (UIs) is one of the most timeconsuming aspects in software development. In this context, the lack of proper reuse mechanisms for UIs is increasi...
Boualem Benatallah, Fabio Casati, Florian Daniel, ...
122
Voted
ICFP
2008
ACM
16 years 2 months ago
Write it recursively: a generic framework for optimal path queries
Optimal path queries are queries to obtain an optimal path specified by a given criterion of optimality. There have been many studies to give efficient algorithms for classes of o...
Akimasa Morihata, Kiminori Matsuzaki, Masato Takei...
CIKM
2009
Springer
15 years 9 months ago
A social recommendation framework based on multi-scale continuous conditional random fields
This paper addresses the issue of social recommendation based on collaborative filtering (CF) algorithms. Social recommendation emphasizes utilizing various attributes informatio...
Xin Xin, Irwin King, Hongbo Deng, Michael R. Lyu
SIGIR
2009
ACM
15 years 9 months ago
CompositeMap: a novel framework for music similarity measure
With the continuing advances in data storage and communication technology, there has been an explosive growth of music information from different application domains. As an effe...
Bingjun Zhang, Jialie Shen, Qiaoliang Xiang, Ye Wa...