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» HITS is Principal Components Analysis
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107
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BMVC
1998
15 years 1 months ago
Building Shape Models from Image Sequences using Piecewise Linear Approximation
A method of extracting, classifying and modelling non-rigid shapes from an image sequence is presented. Shapes are approximated by polygons where the number of sides is related to...
Derek R. Magee, Roger D. Boyle
114
Voted
BMVC
2000
15 years 1 months ago
Extraction of Motion Data from Image Sequences to Assist Animators
We describe a system which is designed to assist animators in extracting high-level information from sequences of images. The system is not meant to replace animators, but to be a...
David P. Gibson, Neill W. Campbell, Colin J. Dalto...
125
Voted
TREC
2000
15 years 1 months ago
Information Space Based on HTML Structure
The main goal for the Information Space system for TREC9 was early precision. To facilitate this, an emphasis was placed on seeking matches from only the TITLE, H1, H2 and H3 tags...
Gregory B. Newby
104
Voted
CSDA
2008
80views more  CSDA 2008»
15 years 19 days ago
Variational Bayesian functional PCA
A Bayesian approach to analyze the modes of variation in a set of curves is suggested. It is based on a generative model thus allowing for noisy and sparse observations of curves....
Angelika van der Linde
93
Voted
PR
2000
129views more  PR 2000»
15 years 10 days ago
Personal identification based on handwriting
In this paper, a novel algorithm is presented for writer identification from handwritings. Principal Component Analysis is applied to the gray-scale handwriting images to find a s...
H. E. S. Said, T. N. Tan, Keith D. Baker