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Multiple Instance Learning: Foundations and Algorithms
Hardcover
ISBN13: 9783319477589
Publisher: Springer
Published: Nov 17 2016
Pages: 233
Weight: 1.16
Height: 0.63 Width: 6.14 Depth: 9.21
Language: English
Additionally, multiple instance multiple label learning is explored. This learning framework introduces flexibility and ambiguity in the object representation providing a natural formulation for representing complicated objects. Thus, an object is represented by a bag of instances and is allowed to have associated multiple class labels simultaneously.
This book is suitable for developers and engineers working to apply MIL techniques to solve a variety of real-world problems. It is also useful for researchers or students seeking a thorough overview of MIL literature, methods, and tools.
1 different editions
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Multiple Instance Learning: Foundations and Algorithms
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Herrera, Francisco
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