The Handbook of Mathematics and Computational Science
The Handbook of Mathematics and Computational Science
Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications
Data Mining and Knowledge Discovery
K-Harmonic Means - A Spatial Clustering Algorithm with Boosting
TSDM '00 Proceedings of the First International Workshop on Temporal, Spatial, and Spatio-Temporal Data Mining-Revised Papers
Fast Nearest Neighbor Search in Medical Image Databases
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
GCap: Graph-based Automatic Image Captioning
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 9 - Volume 09
CURLER: finding and visualizing nonlinear correlation clusters
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
ViVo: Visual Vocabulary Construction for Mining Biomedical Images
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Automatic mining of fruit fly embryo images
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Random Walks for Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Locally adaptive metrics for clustering high dimensional data
Data Mining and Knowledge Discovery
Random walk with restart: fast solutions and applications
Knowledge and Information Systems
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
International Journal of Remote Sensing
Numerical Recipes 3rd Edition: The Art of Scientific Computing
Numerical Recipes 3rd Edition: The Art of Scientific Computing
80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Constrained locally weighted clustering
Proceedings of the VLDB Endowment
Unified video annotation via multigraph learning
IEEE Transactions on Circuits and Systems for Video Technology
Beyond distance measurement: constructing neighborhood similarity for video annotation
IEEE Transactions on Multimedia - Special section on communities and media computing
Image Segmentation with a Unified Graphical Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
DiscFinder: a data-intensive scalable cluster finder for astrophysics
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
Learning conditional random fields for classification of hyperspectral images
IEEE Transactions on Image Processing
Connectedness of Random Walk Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
QMAS: Querying, Mining and Summarization of Multi-modal Databases
ICDM '10 Proceedings of the 2010 IEEE International Conference on Data Mining
A relevance feedback method based on genetic programming for classification of remote sensing images
Information Sciences: an International Journal
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
Recursive Segmentation and Recognition Templates for Image Parsing
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Combining image-level and segment-level models for automatic annotation
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
Multi-layer group sparse coding -- For concurrent image classification and annotation
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Image annotation using bi-relational graph of images and semantic labels
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Web and Personal Image Annotation by Mining Label Correlation With Relaxed Visual Graph Embedding
IEEE Transactions on Image Processing
Fusion of supervised and unsupervised learning for improved classification of hyperspectral images
Information Sciences: an International Journal
Cascaded classification of high resolution remote sensing images using multiple contexts
Information Sciences: an International Journal
Halite: Fast and Scalable Multiresolution Local-Correlation Clustering
IEEE Transactions on Knowledge and Data Engineering
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Given a large image set, in which very few images have labels, how to guess labels for the remaining majority? How to spot images that need brand new labels different from the predefined ones? How to summarize these data to route the user's attention to what really matters? Here we answer all these questions. Specifically, we propose QuMinS, a fast, scalable solution to two problems: (i) Low-labor labeling (LLL) - given an image set, very few images have labels, find the most appropriate labels for the rest; and (ii) Mining and attention routing - in the same setting, find clusters, the top-N"O outlier images, and the N"R images that best represent the data. Experiments on satellite images spanning up to 2.25 GB show that, contrasting to the state-of-the-art labeling techniques, QuMinS scales linearly on the data size, being up to 40 times faster than top competitors (GCap), still achieving better or equal accuracy, it spots images that potentially require unpredicted labels, and it works even with tiny initial label sets, i.e., nearly five examples. We also report a case study of our method's practical usage to show that QuMinS is a viable tool for automatic coffee crop detection from remote sensing images.