Instance-Based Learning Algorithms
Machine Learning
Experiments with a featureless approach to pattern recognition
Pattern Recognition Letters - special issue on pattern recognition in practice V
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual information retrieval
Probabilistic feature relevance learining for content-based image retrieval
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
LOF: identifying density-based local outliers
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Content-based query of image databases: inspirations from text retrieval
Pattern Recognition Letters - Selected papers from the 11th scandinavian conference on image analysis
Relevance feedback techniques in image retrieval
Principles of visual information retrieval
Mix and match features in the ImageRover search engine
Principles of visual information retrieval
Support vector machine active learning for image retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Integrated Browsing and Querying for Image Databases
IEEE MultiMedia
Supporting Ranked Boolean Similarity Queries in MARS
IEEE Transactions on Knowledge and Data Engineering
Dissimilarity representations allow for building good classifiers
Pattern Recognition Letters
MindReader: Querying Databases Through Multiple Examples
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Selective Sampling for Nearest Neighbor Classifiers
Machine Learning
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Similarity learning via dissimilarity space in CBIR
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
The Dissimilarity Representation for Pattern Recognition: Foundations And Applications (Machine Perception and Artificial Intelligence)
Dissimilarity representation of images for relevance feedback in content-based image retrieval
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
Learning user queries in multimodal dissimilarity spaces
AMR'05 Proceedings of the Third international conference on Adaptive Multimedia Retrieval: user, context, and feedback
IEEE Transactions on Multimedia
IEEE Transactions on Image Processing
Experimental Analysis of Insertion Costs in a Naïve Dynamic MDF-Tree
IbPRIA '09 Proceedings of the 4th Iberian Conference on Pattern Recognition and Image Analysis
Pseudo relevance feedback with incremental learning for high level feature detection
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Interactive image retrieval using smoothed nearest neighbor estimates
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
Content-based image retrieval with relevance feedback using random walks
Pattern Recognition
A fast pivot-based indexing algorithm for metric spaces
Pattern Recognition Letters
Dissimilarity representation in multi-feature spaces for image retrieval
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
A log square average case algorithm to make insertions in fast similarity search
Pattern Recognition Letters
Enhancing image retrieval by an exploration-exploitation approach
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
Synthetic pattern generation for imbalanced learning in image retrieval
Pattern Recognition Letters
International Journal of Multimedia Data Engineering & Management
Fisher kernel based relevance feedback for multimodal video retrieval
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
An improved distance-based relevance feedback strategy for image retrieval
Image and Vision Computing
Separability versus prototypicality in handwritten word-image retrieval
Pattern Recognition
| Hi-index | 0.00 |
High retrieval precision in content-based image retrieval can be attained by adopting relevance feedback mechanisms. The main difficulties in exploiting relevance information are i) the gap between user perception of similarity and the similarity computed in the feature space used for the representation of image content, and ii) the availability of few training data (users typically label a few dozen of images). At present, SVM are extensively used to learn from relevance feedback due to their capability of effectively tackling the above difficulties. However, the performances of SVM depend on the tuning of a number of parameters. In this paper a different approach based on the nearest neighbor paradigm is proposed. Each image is ranked according to a relevance score depending on nearest-neighbor distances. This approach is proposed both in low-level feature spaces, and in "dissimilarity spaces", where image are represented in terms of their dissimilarities from the set of relevant images. Reported results show that the proposed approach allows recalling a higher percentage of images with respect to SVM-based techniques.