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» Facial Expression Recognition Using a Neural Network
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WWW
2005
ACM
16 years 13 days ago
Boosting SVM classifiers by ensemble
By far, the support vector machines (SVM) achieve the state-of-theart performance for the text classification (TC) tasks. Due to the complexity of the TC problems, it becomes a ch...
Yan-Shi Dong, Ke-Song Han
TSMC
2008
237views more  TSMC 2008»
14 years 11 months ago
The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations
In this paper, we describe the acquisition and contents of a large-scale Chinese face database: CAS-PEAL face database. The goals of creating the CAS-PEAL face database include 1) ...
Wen Gao, Bo Cao, Shiguang Shan, Xilin Chen, Delong...
FGR
2000
IEEE
141views Biometrics» more  FGR 2000»
15 years 3 months ago
Memory-Based Face Recognition for Visitor Identification
We show that a simple, memory-based technique for appearance-based face recognition, motivated by the realworld task of visitor identification, can outperform more sophisticated a...
Terence Sim, Rahul Sukthankar, Matthew D. Mullin, ...
GIS
2009
ACM
15 years 3 months ago
Dynamic network data exploration through semi-supervised functional embedding
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
Alexei Pozdnoukhov
87
Voted
ICPR
2004
IEEE
16 years 26 days ago
An Efficient Three-Stage Classifier for Handwritten Digit Recognition
This paper proposes an efficient three-stage classifier for handwritten digit recognition based on NN (Neural Network) and SVM (Support Vector Machine) classifiers. The classifica...
Dejan Gorgevik, Dusan Cakmakov