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197
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ICDM
2005
IEEE
271views Data Mining» more  ICDM 2005»
16 years 21 days ago
HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence
In this work, we introduce the new problem of finding time series discords. Time series discords are subsequences of a longer time series that are maximally different to all the r...
Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu
ICDM
2005
IEEE
165views Data Mining» more  ICDM 2005»
16 years 21 days ago
Orthogonal Neighborhood Preserving Projections
— Orthogonal Neighborhood Preserving Projections (ONPP) is a linear dimensionality reduction technique which attempts to preserve both the intrinsic neighborhood geometry of the ...
Effrosini Kokiopoulou, Yousef Saad
ICIP
2005
IEEE
16 years 21 days ago
Bayesian blind source separation for brain imaging
This paper deals with the problem of blind source separation in fMRI data analysis. Our main contribution is to present a maximum likelihood based method to blindly separate the b...
Hicham Snoussi, Vince D. Calhoun
179
Voted
ICMCS
2005
IEEE
85views Multimedia» more  ICMCS 2005»
16 years 21 days ago
Fast Search Method for Image Vector Quantization Based on Equal-Average Equal-Variance and Partial Sum Concept
The encoding process of image vector quantization (VQ) is very heavy due to it performing a lot of k-dimensional Euclidean distance computations. In order to speed up VQ encoding,...
Zhibin Pan, Koji Kotani, Tadahiro Ohmi
ICRA
2005
IEEE
105views Robotics» more  ICRA 2005»
16 years 20 days ago
A New Approach to the Use of Edge Extremities for Model-based Object Tracking
— This paper presents a robust model-based visual tracking algorithm that can give accurate 3D pose of a rigid object. Our tracking algorithm uses an incremental pose update sche...
Youngrock Yoon, Akio Kosaka, Jae Byung Park, Avina...