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» Defining the Problems of Framework Reuse
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147
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AAAI
2008
15 years 6 months ago
Instance-level Semisupervised Multiple Instance Learning
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...
Yangqing Jia, Changshui Zhang
139
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ICPR
2010
IEEE
15 years 5 months ago
Lipreading: A Graph Embedding Approach
In this paper, we propose a novel graph embedding method for the problem of lipreading. To characterize the temporal connections among video frames of the same utterance, a new di...
Ziheng Zhou, Guoying Zhao, Matti Pietikäinen
128
Voted
GECCO
2010
Springer
169views Optimization» more  GECCO 2010»
15 years 5 months ago
Stochastic local search in continuous domains: questions to be answered when designing a novel algorithm
Several population-based methods (with origins in the world of evolutionary strategies and estimation-of-distribution algorithms) for black-box optimization in continuous domains ...
Petr Posik
CEC
2005
IEEE
15 years 5 months ago
Graph composition in a graph grammar-based method for automata network evolution
The dynamics of neural and other automata networks are defined to a large extent by their topologies. Artificial evolution constitutes a practical means by which an optimal topolog...
Martin H. Luerssen, David M. W. Powers
EMNLP
2007
15 years 5 months ago
Low-Quality Product Review Detection in Opinion Summarization
Product reviews posted at online shopping sites vary greatly in quality. This paper addresses the problem of detecting lowquality product reviews. Three types of biases in the exi...
Jingjing Liu, Yunbo Cao, Chin-Yew Lin, Yalou Huang...