Abstract: This paper introduces a new scheme for automatic image annotation based on cascading multi-level multi- instance classifiers (CMLMI).

A new scheme for automatic image annotation based on cascading multi-level multiinstance classifiers (CMLMI), in which the feature set includes features ...

This paper introduces a new scheme for automatic image annotation based on cascading multi-level multiinstance classifiers (CMLMI). The proposed scheme employs ...

Aug 30, 2016 · Nguyen, Cam Tu and Le, Vu Ha and Tokuyama, Takeshi (2011) Cascade of Multi-level Multi-instance Classifiers for Image Annotation.

Aug 26, 2019 · Two metric-based learning models have been proposed to detect unknown classes and include new classes using the Nearest Class. Mean [2, 39].

Jan 22, 2021 · This paper addresses this gap in the literature by proposing CascadeML, a multi-label classification method based on the existing cascaded neural network ...

We introduce a framework for actively learning visual categories from a mixture of weakly and strongly labeled image examples.

We propose a universal framework for weakly supervised WSI analysis based on Multiple Instance Learning (MIL).

To simplify the parameter of the deep learning network, a cascaded compressive sensing model "CSNet" is implemented for image classification. Firstly, we ...

In this paper we present a novel learning algorithm for Multiple Instance Multiple Label learning that is scalable for large datasets and per- forms comparable ...