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» Face Recognition Based on 2D and 3D Features
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ICDM
2008
IEEE
109views Data Mining» more  ICDM 2008»
15 years 4 months ago
Learning by Propagability
In this paper, we present a novel feature extraction framework, called learning by propagability. The whole learning process is driven by the philosophy that the data labels and o...
Bingbing Ni, Shuicheng Yan, Ashraf A. Kassim, Loon...
ECCV
2006
Springer
15 years 11 months ago
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
Jamie Shotton, John M. Winn, Carsten Rother, Anton...
IBPRIA
2003
Springer
15 years 2 months ago
Tracking Heads Using Piecewise Planar Models
We present a procedure for tracking a rigid object based on a piecewise planar model, and show how it can be used to track a human face. The tracking is performed using a single in...
José Miguel Buenaposada, Enrique Muñ...
ICMI
2004
Springer
263views Biometrics» more  ICMI 2004»
15 years 3 months ago
Analysis of emotion recognition using facial expressions, speech and multimodal information
The interaction between human beings and computers will be more natural if computers are able to perceive and respond to human non-verbal communication such as emotions. Although ...
Carlos Busso, Zhigang Deng, Serdar Yildirim, Murta...
MIR
2010
ACM
217views Multimedia» more  MIR 2010»
15 years 2 months ago
Feature selection for content-based, time-varying musical emotion regression
In developing automated systems to recognize the emotional content of music, we are faced with a problem spanning two disparate domains: the space of human emotions and the acoust...
Erik M. Schmidt, Douglas Turnbull, Youngmoo E. Kim