Sentence examples for multiple instance learning from inspiring English sources

In this paper, a chaotic multiple instance learning tracker based on chaos theory for a robust and efficient online tracking is introduced.

RegioSelectivity (RS -predictor is developed by ZaRS -predictor [15, 16], whish employs a set of 392 quantum chemical atom-specific andevelopedological descriptors, and a support vector machine (SVM)-like ranking in combynation with a multiple instance learning method to determine potential SOMs.

Several existing machine learning algorithms can help achieve this including support vector machines (SVM) [ 10], multiple instance learning [ 11], positive/unlabeled (PU) learning [ 12], Bayesian inference [ 13], and others.

The article [11] using multiple instance learning (MIL) to reduce the training instances for handwritten and printed documents classifications.

Multiple Instance Learning (MIL) has become an important topic in the pattern recognition community, and many solutions to this problem have been proposed until now.

This paper presents an improved multiple instance learning (MIL) tracker representing target with Distribution Fields (DFs) and building a weighted-geometric-mean MIL classifier.

To cope with this problem, Kuo et al. [54] adopt multiple instances learning (MIL) to learn an appearance affinity model, which is then integrated with the spatial-temporal information to train an improved inter-camera track association framework to tackle the target handover tasks across cameras.

The MIL algorithm is a classical multiple-instance learning approach for target tracking.

In Section 2, we present our proposed target tracking algorithm based on multiple-instance learning.

Multiple-instance discriminant analysis (MIDA) is proposed to cope with the feature extraction problem in multiple-instance learning.

MIDA consists of two versions, i.e., binary-class MIDA (B-MIDA) and multi-class MIDA (M-MIDA), which are utilized to cope with binary-class (standard) and multi-class multiple-instance learning tasks, respectively.