Principles and practice of information theory
Principles and practice of information theory
An algorithm for drawing general undirected graphs
Information Processing Letters
Graph drawing by force-directed placement
Software—Practice & Experience
Proceedings of the 1998 conference on Advances in neural information processing systems II
Text Classification from Labeled and Unlabeled Documents using EM
Machine Learning - Special issue on information retrieval
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
IEEE Transactions on Pattern Analysis and Machine Intelligence
A continuous probabilistic framework for image matching
Computer Vision and Image Understanding
Maintaining variance and k-medians over data stream windows
Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Content-based image retrieval by clustering
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
A probabilistic framework for semi-supervised clustering
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Content-based image retrieval: approaches and trends of the new age
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Bayesian Feature and Model Selection for Gaussian Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Visualization and analysis of large graphs
Proceedings of the ACM first Ph.D. workshop in CIKM
Visual analysis of dynamic group membership in temporal social networks
ACM SIGKDD Explorations Newsletter - Special issue on visual analytics
Semi-Supervised Learning
Image classification for content-based indexing
IEEE Transactions on Image Processing
A configurable photo browser framework for large image collections
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: design and development approaches - Volume Part I
Efficient annotation of image data sets for computer vision applications
Proceedings of the 1st International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications
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In this paper, we propose an approach to interactive navigation in image collections. As structured groups are more appealing to users than flat image collections, we propose an image clustering algorithm, with an incremental version that handles time-varying collections. A 3D graph-based visualization technique reflects the classification state. While this classification visualization is itself interactive, we show how user feedback may assist the classification, thus enabling a user to improve it.