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» Applying Discrete PCA in Data Analysis
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SCIA
2007
Springer
151views Image Analysis» more  SCIA 2007»
14 years 1 months ago
A PCA-Based Technique to Detect Moving Objects
Abstract. Moving objects detection is a crucial step for video surveillance systems. The segmentation performed by motion detection algorithms is often noisy, which makes it hard t...
Nicolas Verbeke, Nicole Vincent
CSDA
2008
86views more  CSDA 2008»
13 years 7 months ago
Transformations for semi-continuous data
Semi-continuous data arise in many applications where naturally-continuous data become contaminated by the data generating mechanism. The resulting data contain several values tha...
Galit Shmueli, Wolfgang Jank, Valerie Hyde
CORR
2010
Springer
163views Education» more  CORR 2010»
13 years 7 months ago
Distributed Principal Component Analysis for Wireless Sensor Networks
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
Yann-Aël Le Borgne, Sylvain Raybaud, Gianluca...
COCOA
2008
Springer
13 years 9 months ago
Fixed-Parameter Tractability of Anonymizing Data by Suppressing Entries
A popular model for protecting privacy when person-specific data is released is k-anonymity. A dataset is k-anonymous if each record is identical to at least (k - 1) other records ...
Rhonda Chaytor, Patricia A. Evans, Todd Wareham
SIGDIAL
2010
13 years 5 months ago
Towards an Empirically Motivated Typology of Follow-Up Questions: The Role of Dialogue Context
A central problem in Interactive Question Answering (IQA) is how to answer Follow-Up Questions (FU Qs), possibly by taking advantage of information from the dialogue context. We a...
Manuel Kirschner, Raffaella Bernardi