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SSPR
2004
Springer
14 years 3 months ago
Clustering Variable Length Sequences by Eigenvector Decomposition Using HMM
We present a novel clustering method using HMM parameter space and eigenvector decomposition. Unlike the existing methods, our algorithm can cluster both constant and variable leng...
Fatih Murat Porikli
AIPR
2008
IEEE
14 years 5 days ago
Detection of ephemeral changes in sequences of images
The formalism of anomalous change detection, which was developed for finding unusual changes in pairs of images, is extended to sequences of more than two images. Extended algorith...
James Theiler, Steven M. Adler-Golden
VISUALIZATION
1995
IEEE
14 years 1 months ago
Visualization of Biological Sequence Similarity Search Results
Biological sequence similarity analysis presents visualization challenges, primarily because of the massive amounts of discrete, multi-dimensional data. Genomic data generated by ...
Ed Huai-hsin Chi, Phillip Barry, Elizabeth Shoop, ...
ICDM
2006
IEEE
108views Data Mining» more  ICDM 2006»
14 years 4 months ago
Spatial Multidimensional Sequence Clustering
Measurements at different time points and positions in large temporal or spatial databases requires effective and efficient data mining techniques. For several parallel measureme...
Ira Assent, Ralph Krieger, Boris Glavic, Thomas Se...
BMVC
2001
14 years 17 days ago
Finding Paths in Video Sequences
This paper investigates the task of identifying frequently-used pathways from video sequences of natural outdoor scenes. Path models are adaptively learnt from the accumulation of...
Dimitrios Makris, Tim Ellis