A Depression Recognition Method for College Students Using Deep Integrated Support Vector Algorithm.
Yan DingXuemei ChenQiming FuShan ZhongPublished in: IEEE Access (2020)
Keyphrases
- recognition algorithm
- high accuracy
- detection algorithm
- computational cost
- dynamic programming
- significant improvement
- detection method
- cost function
- objective function
- preprocessing
- segmentation algorithm
- segmentation method
- computational complexity
- clustering method
- optimization algorithm
- image matching
- learning algorithm
- matching algorithm
- college students
- anti noise
- k means
- handwritten digits
- support vector machine svm
- convergence rate
- input data
- probabilistic model
- similarity measure
- optimal solution
- decision function
- reduced set
- multi class classification
- feature extraction
- support vector
- object recognition
- support vector machine
- recognition rate
- cross validation
- data sets