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DAWAK
2001
Springer
15 years 2 months ago
Adaptable Similarity Search Using Vector Quantization
Adaptable similarity queries based on quadratic form distance functions are widely popular in data mining applications, particularly for domains such as multimedia, CAD, molecular ...
Christian Böhm, Hans-Peter Kriegel, Thomas Se...
ICDCS
2010
IEEE
15 years 1 months ago
A New Buffer Cache Design Exploiting Both Temporal and Content Localities
: This paper presents a Least Popularly Used buffer cache algorithm to exploit both temporal locality and content locality of I/O requests. Popular data blocks are selected as refe...
Jin Ren, Qing Yang
DAGM
2006
Springer
15 years 1 months ago
On-Line, Incremental Learning of a Robust Active Shape Model
Abstract. Active Shape Models are commonly used to recognize and locate different aspects of known rigid objects. However, they require an off-line learning stage, such that the ex...
Michael Fussenegger, Peter M. Roth, Horst Bischof,...
ECAI
2006
Springer
15 years 1 months ago
A Learning Classifier Approach to Tomography
Tomography is an important technique for noninvasive imaging: images of the interior of an object are computed from several scanned projections of the object, covering a range of a...
Kees Joost Batenburg
CVPR
2010
IEEE
14 years 11 months ago
Compact Projection: Simple and Efficient Near Neighbor Search with Practical Memory Requirements
Image similarity search is a fundamental problem in computer vision. Efficient similarity search across large image databases depends critically on the availability of compact ima...
Kerui Min, Linjun Yang, John Wright, Lei Wu, Xian-...