Results 11 to 20 of about 1,256,985 (257)
ML-k’sNN: Label Dependent k Values for Multi-Label k-Nearest Neighbor Rule
Mathematics, 2023 Multi-label classification as a data mining task has recently attracted increasing interest from researchers. Many current data mining applications address problems with instances that belong to more than one category.
José M. Cuevas-Muñoz +1 more
doaj +1 more source
Learning Multi-instance Sub-pixel Point Localization [PDF]
, 2021 In this work, we propose a novel approach that allows for the end-to-end learning of multi-instance point detection with inherent sub-pixel precision capabilities. To infer unambiguous localization estimates, our model relies on three components: the continuous prediction capabilities of offset-regression-based models, the finer-grained spatial ...
Schroeter, Julien +3 more
openaire +2 more sources
Multi-instance tree learning [PDF]
Proceedings of the 22nd international conference on Machine learning - ICML '05, 2005 We introduce a novel algorithm for decision tree learning in the multi-instance setting as originally defined by Dietterich et al. It differs from existing multi-instance tree learners in a few crucial, well-motivated details. Experiments on synthetic and real-life datasets confirm the beneficial effect of these differences and show that the resulting ...
Blockeel, Hendrik +2 more
openaire +1 more source
Domain transfer multi-instance dictionary learning [PDF]
Neural Computing and Applications, 2016 In this paper, we invest the domain transfer learning problem with multi-instance data. We assume we already have a well-trained multi-instance dictionary and its corresponding classifier from the source domain, which can be used to represent and classify the bags. But it cannot be directly used to the target domain.
Wang, Ke +2 more
openaire +2 more sources
Fast Multi-Instance Multi-Label Learning [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014 In multi-instance multi-label learning (MIML), one object is represented by multiple instances and simultaneously associated with multiple labels. Existing MIML approaches have been found useful in many applications; however, most of them can only handle moderate-sized data. To efficiently handle large data sets, we propose the MIMLfast
Sheng-Jun Huang, Wei Gao, Zhi-Hua Zhou
openaire +2 more sources
Region-DH: Region-based Deep Hashing for Multi-Instance Aware Image Retrieval [PDF]
, 2020 This paper introduces an instance-aware hashing approach Region-DH for large-scale multi-label image retrieval. The accurate object bounds can significantly increase the hashing performance of instance features.
Mtope, Franck Romuald Fotso, Wei, Bo
core +1 more source
Multi-Instance Learning Algorithm Based on LSTM for Chinese Painting Image Classification
IEEE Access, 2020 Aiming at the problem of weakly supervised learning in traditional Chinese painting image classification, a novel multi-instance learning algorithm based on Long and Short-Term Memory neural network with attention mechanism (ALSTM-MIL) is proposed ...
Daxiang Li, Yue Zhang
doaj +1 more source
Improving Multi-Instance Multi-Label Learning by Extreme Learning Machine
Applied Sciences, 2016 Multi-instance multi-label learning is a learning framework, where every object is represented by a bag of instances and associated with multiple labels simultaneously.
Ying Yin +3 more
doaj +1 more source
A review of multi-instance learning assumptions [PDF]
, 2010 Multi-instance (MI) learning is a variant of inductive machine learning, where each learning example contains a bag of instances instead of a single feature vector.
Foulds, James Richard, Frank, Eibe
core +2 more sources
Weakly Supervised Object Localization with Multi-fold Multiple Instance Learning [PDF]
, 2016 Object category localization is a challenging problem in computer vision. Standard supervised training requires bounding box annotations of object instances. This time-consuming annotation process is sidestepped in weakly supervised learning.
Cordelia Schmid +11 more
core +6 more sources