Multiple instance learning is a recently researched learning paradigm that allows a machine learning algorithm to learn target concepts with uncertainty in ...

Multiple instance learning is a recently researched learning paradigm that allows a machine learning algorithm to learn target concepts with uncertainty in ...

Multiple-instance learning (MIL) is a learning paradigm used for learning a target concept in the presence of noise or with an uncertainty in target information ...

For the purposes of target classification in remotely sensed hyperspectral imagery (HSI), an algorithm will typically analyze.

Jun 24, 2022 · Multiple instance learning (MIL) is a methodology that can be used to address these challenging problems. This chapter investigates the topic of ...

The proposed Spatial Multiple Instance Learning. (S-MIL) method is applied to a hyperspectral data set for the purposes of landmine detection. Index Terms— ...

This chapter investigates the topic of hyperspectral image analysis given imprecisely labeled data and reviews MIL methods for hyperspectrals target ...

This paper proposes a multiple instance metric learning neural network (MIML-Net) for hyperspectral target detection tasks, which only requires region-level ...

Apr 28, 2020 · This chapter investigates the topic of hyperspectral image analysis given imprecisely labeled data and reviews MIL methods for hyperspectral target detection.

A novel approach is proposed for use in high dimensional spectral images by combining Multiple Instance (MI) Learning (MIL) with ensemble learning (EnLe), ...