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KDD
2006
ACM
115views Data Mining» more  KDD 2006»
15 years 10 months ago
Supervised probabilistic principal component analysis
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
KDD
2004
ACM
181views Data Mining» more  KDD 2004»
15 years 10 months ago
Column-generation boosting methods for mixture of kernels
We devise a boosting approach to classification and regression based on column generation using a mixture of kernels. Traditional kernel methods construct models based on a single...
Jinbo Bi, Tong Zhang, Kristin P. Bennett
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
15 years 10 months ago
Transforming data to satisfy privacy constraints
Data on individuals and entities are being collected widely. These data can contain information that explicitly identifies the individual (e.g., social security number). Data can ...
Vijay S. Iyengar
CHI
2005
ACM
15 years 10 months ago
WebGazeAnalyzer: a system for capturing and analyzing web reading behavior using eye gaze
Capturing and analyzing the detailed eye movements of a user while reading a web page can reveal much about the ways in which web reading occurs. The WebGazeAnalyzer system descri...
David Beymer, Daniel M. Russell
CIVR
2007
Springer
164views Image Analysis» more  CIVR 2007»
15 years 4 months ago
Inducing a perceptual relevance shape classifier
In this paper, we develop a system to classify the outputs of image segmentation algorithms as perceptually relevant or perceptually irrelevant with respect to human perception. T...
Victoria J. Hodge, John P. Eakins, James Austin