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» A New Indexing Method for High Dimensional Dataset
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CVPR
2008
IEEE
16 years 2 months ago
Margin-based discriminant dimensionality reduction for visual recognition
Nearest neighbour classifiers and related kernel methods often perform poorly in high dimensional problems because it is infeasible to include enough training samples to cover the...
Hakan Cevikalp, Bill Triggs, Frédéri...
98
Voted
SIGMOD
2003
ACM
152views Database» more  SIGMOD 2003»
16 years 24 days ago
Warping Indexes with Envelope Transforms for Query by Humming
A Query by Humming system allows the user to find a song by humming part of the tune. No musical training is needed. Previous query by humming systems have not provided satisfacto...
Yunyue Zhu, Dennis Shasha
117
Voted
VIS
2007
IEEE
157views Visualization» more  VIS 2007»
16 years 1 months ago
Surface Extraction from Multi-Material Components for Metrology using Dual Energy CT
Abstract-- This paper describes a novel method for creating surface models of multi-material components using dual energy computed tomography (DECT). The application scenario is me...
Christoph Heinzl, Johann Kastner, Eduard Grölle...
92
Voted
BIBE
2003
IEEE
116views Bioinformatics» more  BIBE 2003»
15 years 6 months ago
An Assessment of a Metric Space Database Index to Support Sequence Homology
Hierarchical metric-space clustering methods have been commonly used to organize proteomes into taxonomies. Consequently, it is often anticipated that hierarchical clustering can ...
Rui Mao, Weijia Xu, Neha Singh, Daniel P. Miranker
IDEAL
2004
Springer
15 years 6 months ago
Visualisation of Distributions and Clusters Using ViSOMs on Gene Expression Data
Microarray datasets are often too large to visualise due to the high dimensionality. The self-organising map has been found useful to analyse massive complex datasets. It can be us...
Swapna Sarvesvaran, Hujun Yin