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» VIF Regression: A Fast Regression Algorithm for Large Data
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CVPR
2011
IEEE
13 years 1 months ago
Real Time Head Pose Estimation with Random Regression Forests
Fast and reliable algorithms for estimating the head pose are essential for many applications and higher-level face analysis tasks. We address the problem of head pose estimation ...
Gabriele Fanelli, Juergen Gall, Luc VanGool
ICDM
2005
IEEE
161views Data Mining» more  ICDM 2005»
13 years 11 months ago
Making Logistic Regression a Core Data Mining Tool with TR-IRLS
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
Paul Komarek, Andrew W. Moore
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
13 years 3 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
CSDA
2006
98views more  CSDA 2006»
13 years 5 months ago
Fast estimation algorithm for likelihood-based analysis of repeated categorical responses
Likelihood-based marginal regression modelling for repeated, or otherwise clustered, categorical responses is computationally demanding. This is because the number of measures nee...
Jukka Jokinen
CVPR
2007
IEEE
14 years 7 months ago
Regression tracking with data relevance determination
This paper 1 addresses the problem of efficient visual 2D template tracking in image sequences. We adopt a discriminative approach in which the observations at each frame yield di...
Ioannis Patras, Edwin R. Hancock