SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Dimensionality reduction for similarity searching in dynamic databases
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Modeling high-dimensional index structures using sampling
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Searching Multimedia Databases by Content
Searching Multimedia Databases by Content
MindReader: Querying Databases Through Multiple Examples
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Making every bit count: fast nonlinear axis scaling
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Introduction to MPEG-7: Multimedia Content Description Interface
Introduction to MPEG-7: Multimedia Content Description Interface
Towards Index-based Similarity Search for Protein Structure Databases
CSB '03 Proceedings of the IEEE Computer Society Conference on Bioinformatics
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Journal of VLSI Signal Processing Systems - Special issue on signal processing and neural networks for bioinformatics
Rotation-invariant texture classification using a complete space-frequency model
IEEE Transactions on Image Processing
Availability of multi-object operations
NSDI'06 Proceedings of the 3rd conference on Networked Systems Design & Implementation - Volume 3
Cellular proteomic characterization using active shape and non-Gaussinan stochastic texture models
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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Information technology research has played a significant role in the genomics revolution over the past decade, from aiding with large-scale sequence assembly to automating gene identification to efficiently searching databases by sequence similarity. The tremendous amount of information gathered from genomics will be dwarfed in the next decade by the knowledge to be gained from comprehensive, systematic studies of the properties and behaviors of all proteins and other biomolecules. High-resolution imaging of molecules and cells will be critical for understanding complex systems such as the nervous system, whether it be for the localization of specific neuron types within a region of the central nervous system, the branching pattern of dendritic trees, or the localization of molecules at the subcellular level. Furthermore, knowing how these distribution patterns and subcellular locations change as a function of time is critical to understanding how cells respond to stress, injury, aging, and disease. We are developing sophisticated information technologies for collecting and interpreting the enormous volume of biological image data. A major outcome of the research will be a unique, fully operational, distributed digital library of biomolecular image data accessible to researchers around the world. Such searchable databases will make it possible to optimally understand and interpret the data, leading to a more complete and integrated understanding of cellular structure, function and regulation.