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» Distance Patterns in Structural Similarity
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SDM
2007
SIAM
182views Data Mining» more  SDM 2007»
13 years 10 months ago
Distance Preserving Dimension Reduction for Manifold Learning
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
Hyunsoo Kim, Haesun Park, Hongyuan Zha
JEI
2000
134views more  JEI 2000»
13 years 8 months ago
Pattern matching using the blur hit - miss transform
The usefulness of the hit-miss transform (HMT) and related transforms for pattern matching in document image applications is examined. Although the HMT is sensitive to the types o...
Dan S. Bloomberg, Luc Vincent
ICPR
2010
IEEE
14 years 1 months ago
Object Tracking by Structure Tensor Analysis
Covariance matrices have recently been a popular choice for versatile tasks like recognition and tracking due to their powerful properties as local descriptor and their low comput...
Michael Donoser, Stefan Kluckner, Horst Bischof
ICPR
2002
IEEE
14 years 1 months ago
Extracting Fractal Features for Analyzing Protein Structure
This paper is concerned with the development of a computational methodology based on fractal geometry for determining 3D structure of protein with imagery projection operations. I...
Yu Tao, Thomas R. Ioerger, James C. Sacchettini
MMM
2011
Springer
251views Multimedia» more  MMM 2011»
13 years 12 days ago
Randomly Projected KD-Trees with Distance Metric Learning for Image Retrieval
Abstract. Efficient nearest neighbor (NN) search techniques for highdimensional data are crucial to content-based image retrieval (CBIR). Traditional data structures (e.g., kd-tree...
Pengcheng Wu, Steven C. H. Hoi, Duc Dung Nguyen, Y...