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FGR
2008
IEEE
322views Biometrics» more  FGR 2008»
15 years 6 months ago
Statistical appearance models for automatic pose invariant face recognition
Recent pose invariant methods try to model the subject specific appearance change across pose. For this, however, almost all of the existing methods require a perfect alignment b...
M. Saquib Sarfraz, Olaf Hellwich
ICML
2009
IEEE
16 years 17 days ago
Optimal reverse prediction: a unified perspective on supervised, unsupervised and semi-supervised learning
Training principles for unsupervised learning are often derived from motivations that appear to be independent of supervised learning. In this paper we present a simple unificatio...
Linli Xu, Martha White, Dale Schuurmans
PR
2007
192views more  PR 2007»
14 years 11 months ago
Face detection with boosted Gaussian features
Detecting faces in images is a key step in numerous computer vision applications, such as face recognition or facial expression analysis. Automatic face detection is a difficult ...
Julien Meynet, Vlad Popovici, Jean-Philippe Thiran
ACII
2011
Springer
13 years 11 months ago
Predicting Facial Indicators of Confusion with Hidden Markov Models
Affect plays a vital role in learning. During tutoring, particular affective states may benefit or detract from student learning. A key cognitiveaffective state is confusion, which...
Joseph F. Grafsgaard, Kristy Elizabeth Boyer, Jame...
ICASSP
2011
IEEE
14 years 3 months ago
Extracting call-reason segments from contact center dialogs by using automatically acquired boundary expressions
To improve the performance of call-reason analysis at contact centers, we introduce a novel method to extract call-reason segments from dialogs. It is based on the following two c...
Takaaki Fukutomi, Satoshi Kobashikawa, Taichi Asam...