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Chapter and Conference Paper
A Multiple Eigenspaces Constructing Method and Its Application to Face Recognition
The well-known eigenface method uses a single eigenspace to recognize faces. However, it is not enough to represent face images with large variations, such as illumination and pose variations. To overcome this...
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Chapter and Conference Paper
Robust 3D Arm Tracking from Monocular Videos
In this paper, we present a robust method to tackle the ambiguities in 3D arm tracking, especially those introduced by depth change (distance of the arm from the camera), and arm rotation about humerus (upper ...
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Chapter and Conference Paper
An Enhanced Estimation of Distribution Algorithm for No-Wait Job Shop Scheduling Problem with Makespan Criterion
In this paper, an enhanced estimation of distribution algorithm (EEDA) is proposed for the no-wait job shop scheduling problem (NWJSSP) with the makespan criterion, which has been proved to be strongly NP-hard...
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Chapter and Conference Paper
Bayesian Statistical Inference-Based Estimation of Distribution Algorithm for the Re-entrant Job-Shop Scheduling Problem with Sequence-Dependent Setup Times
In this paper, a bayesian statistical inference-based estimation of distribution algorithm (BEDA) is proposed for the re-entrant job-shop scheduling problem with sequence-dependent setup times (RJSSPST) to min...
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Chapter and Conference Paper
Emotion Annotation Using Hierarchical Aligned Cluster Analysis
The correctness of annotation is quite important in supervised learning, especially in electroencephalography(EEG)-based emotion recognition. The conventional EEG annotations for emotion recognition are based ...
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Chapter and Conference Paper
A Grou** Genetic Algorithm Based on the GES Local Search for Pickup and Delivery Problem with Time Windows and LIFO Loading
This paper investigates the pickup and delivery problem with time windows and last-in-first-out (LIFO) loading (PDPTWL). In this problem, the compartment of a vehicle is modeled as a linear LIFO stack. The las...
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Chapter and Conference Paper
Prediction of Chemical Oxygen Demand in Sewage Based on Support Vector Machine and Neural Network
Aiming at the problem that the detection accuracy of effluent COD (chemical oxygen demand) in sewage treatment needs to be further improved, a combined model based on support vector machine and neural network ...