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PRL
2006
139views more  PRL 2006»
14 years 9 months ago
Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are iterative two-step relocatio...
Francisco de A. T. de Carvalho, Renata M. C. R. de...
PAMI
2000
113views more  PAMI 2000»
14 years 9 months ago
Hierarchical Discriminant Regression
This paper presents a new technique which incrementally builds a hierarchical discriminant regression (IHDR) tree for generation of motion based robot reactions. The robot learned...
Wey-Shiuan Hwang, Juyang Weng
PR
2002
202views more  PR 2002»
14 years 9 months ago
Illumination color covariant locale-based visual object retrieval
Search by Object Model -- finding an object inside a target image -- is a desirable and yet difficult mechanism for querying multimedia data. An added difficulty is that objects c...
Mark S. Drew, Ze-Nian Li, Zinovi Tauber
TSP
2008
134views more  TSP 2008»
14 years 9 months ago
A Mapping-Based Design for Nonsubsampled Hourglass Filter Banks in Arbitrary Dimensions
Multidimensional hourglass filter banks decompose the frequency spectrum of input signals into hourglass-shaped directional subbands, each aligned with one of the frequency axes. T...
Yue M. Lu, Minh N. Do
ICCV
2003
IEEE
15 years 11 months ago
Dominant Sets and Hierarchical Clustering
Dominant sets are a new graph-theoretic concept that has proven to be relevant in partitional (flat) clustering as well as image segmentation problems. However, in many computer v...
Massimiliano Pavan, Marcello Pelillo