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» Facial Expression Recognition with Relevance Vector Machines
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TNN
2010
173views Management» more  TNN 2010»
13 years 2 months ago
Multiclass relevance vector machines: sparsity and accuracy
Abstract--In this paper we investigate the sparsity and recognition capabilities of two approximate Bayesian classification algorithms, the multi-class multi-kernel Relevance Vecto...
Ioannis Psorakis, Theodoros Damoulas, Mark A. Giro...
IPCV
2008
13 years 9 months ago
Neonatal Facial Pain Detection Using NNSOA and LSVM
- We report classification experiments using the pilot Infant COPE database of neonatal facial expressions. Two sets of DCT coeffiecents were used to train a neural network simulta...
Sheryl Brahnam, Loris Nanni, Randall S. Sexton
ACII
2005
Springer
14 years 1 months ago
Facial Expression Recognition Using HLAC Features and WPCA
This paper proposes a new facial expression recognition method which combines Higher Order Local Autocorrelation (HLAC) features with Weighted PCA. HLAC features are computed at ea...
Fang Liu, Zhiliang Wang, Li Wang, Xiuyan Meng
ESWA
2007
136views more  ESWA 2007»
13 years 7 months ago
Semantic-based facial expression recognition using analytical hierarchy process
In this paper we present an automatic facial expression recognition system that utilizes a semantic-based learning algorithm using the analytical hierarchy process (AHP). Although...
Shyi-Chyi Cheng, Ming-Yao Chen, Hong-Yi Chang, Tzu...
MM
2010
ACM
163views Multimedia» more  MM 2010»
13 years 8 months ago
Sonify your face: facial expressions for sound generation
We present a novel visual creativity tool that automatically recognizes facial expressions and tracks facial muscle movements in real time to produce sounds. The facial expression...
Roberto Valenti, Alejandro Jaimes, Nicu Sebe