Value-Sensitive Algorithm Design: Method, Case Study, and Lessons.
Haiyi ZhuBowen YuAaron HalfakerLoren TerveenPublished in: Proc. ACM Hum. Comput. Interact. (2018)
Keyphrases
- case study
- high accuracy
- improved algorithm
- dynamic programming
- cost function
- significant improvement
- experimental evaluation
- objective function
- computational cost
- optimization algorithm
- synthetic and real images
- high efficiency
- computational efficiency
- segmentation method
- computationally efficient
- optimization method
- detection algorithm
- classification method
- tree structure
- matching algorithm
- computational complexity
- energy function
- preprocessing
- mapping function
- selection algorithm
- recognition algorithm
- support vector machine svm
- probabilistic model
- similarity measure
- detection method
- clustering method
- decomposition method
- k means
- experimental study
- hybrid algorithm
- noisy data
- theoretical analysis
- em algorithm
- estimation algorithm
- computational speed
- single pass
- mathematical model
- classification algorithm
- segmentation algorithm
- input data
- learning algorithm
- search space
- support vector machine
- expectation maximization
- convergence rate
- design process
- software development
- simulated annealing
- edge detection
- motion estimation
- reconstruction method
- np hard
- parameter estimation
- pairwise