Communications of the ACM - Special issue on parallelism
Solving the multiple instance problem with axis-parallel rectangles
Artificial Intelligence
A framework for multiple-instance learning
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Multiple-Instance Learning of Real-Valued Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Content-Based Image Retrieval Using Multiple-Instance Learning
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Solving the Multiple-Instance Problem: A Lazy Learning Approach
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
A survey of kernels for structured data
ACM SIGKDD Explorations Newsletter
Image Categorization by Learning and Reasoning with Regions
The Journal of Machine Learning Research
ICML '05 Proceedings of the 22nd international conference on Machine learning
Supervised versus multiple instance learning: an empirical comparison
ICML '05 Proceedings of the 22nd international conference on Machine learning
Shortest-Path Kernels on Graphs
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Adapting RBF Neural Networks to Multi-Instance Learning
Neural Processing Letters
A regularization framework for multiple-instance learning
ICML '06 Proceedings of the 23rd international conference on Machine learning
MISSL: multiple-instance semi-supervised learning
ICML '06 Proceedings of the 23rd international conference on Machine learning
MILES: Multiple-Instance Learning via Embedded Instance Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the relation between multi-instance learning and semi-supervised learning
Proceedings of the 24th international conference on Machine learning
Adaptive p-posterior mixture-model kernels for multiple instance learning
Proceedings of the 25th international conference on Machine learning
Marginalized multi-instance kernels
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A quadratic programming approach to the graph edit distance problem
GbRPR'07 Proceedings of the 6th IAPR-TC-15 international conference on Graph-based representations in pattern recognition
A Convex Method for Locating Regions of Interest with Multi-instance Learning
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Max-margin Multiple-Instance Learning via Semidefinite Programming
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
The Knowledge Engineering Review
Dissimilarity-based multiple instance learning
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
MIForests: multiple-instance learning with randomized trees
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
LSA based multi-instance learning algorithm for image retrieval
Signal Processing
Multiple-instance learning with structured bag models
EMMCVPR'11 Proceedings of the 8th international conference on Energy minimization methods in computer vision and pattern recognition
Ensemble multi-instance multi-label learning approach for video annotation task
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Learning frame relevance for video classification
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Multi-instance methods for partially supervised image segmentation
PSL'11 Proceedings of the First IAPR TC3 conference on Partially Supervised Learning
Distance-based feature selection on classification of uncertain objects
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
Latent topic based multi-instance learning method for localized content-based image retrieval
Computers & Mathematics with Applications
Multiple-instance learning as a classifier combining problem
Pattern Recognition
One-Class multiple instance learning via robust PCA for common object discovery
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Horror video scene recognition based on multi-view multi-instance learning
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Identifying user attributes through non-i.i.d. multi-instance learning
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Multiple instance classification: Review, taxonomy and comparative study
Artificial Intelligence
Robust subspace discovery via relaxed rank minimization
Neural Computation
Multiple instance learning based on positive instance selection and bag structure construction
Pattern Recognition Letters
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Previous studies on multi-instance learning typically treated instances in the bags as independently and identically distributed. The instances in a bag, however, are rarely independent in real tasks, and a better performance can be expected if the instances are treated in an non-i.i.d. way that exploits relations among instances. In this paper, we propose two simple yet effective methods. In the first method, we explicitly map every bag to an undirected graph and design a graph kernel for distinguishing the positive and negative bags. In the second method, we implicitly construct graphs by deriving affinity matrices and propose an efficient graph kernel considering the clique information. The effectiveness of the proposed methods are validated by experiments.