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PAMI
2012
13 years 1 days ago
A Least-Squares Framework for Component Analysis
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
Fernando De la Torre
BMCBI
2007
115views more  BMCBI 2007»
14 years 9 months ago
A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
Stephen Winters-Hilt, Carl Baribault
CVPR
1997
IEEE
15 years 1 months ago
Prediction Intervals for Surface Growing Range Segmentation
The surface growing framework presented by Besl and Jain [2] has served as the basis for many range segmentation techniques. It has been augmented with alternative fitting techni...
James V. Miller, Charles V. Stewart
CSCW
2002
ACM
14 years 9 months ago
Work rhythms: analyzing visualizations of awareness histories of distributed groups
We examined records of minute-by-minute computer activity coupled with information about the location of the activity, online calendar appointments, and e-mail activity. We presen...
James Begole, John C. Tang, Randall B. Smith, Nico...
PAKDD
1999
ACM
124views Data Mining» more  PAKDD 1999»
15 years 1 months ago
Discovery of Equations and the Shared Operational Semantics in Distributed Autonomous Databases
Empirical equations are an important class of regularities that can be discovered in databases. In this paper we concentrate on the role of equations as de nitions of attribute val...
Zbigniew W. Ras, Jan M. Zytkow