A sparse nonnegative demixing algorithm with intrinsic regularization for multiplexed fluorescence tomography.
Vivian PeraDana H. BrooksMark NiedrePublished in: ISBI (2015)
Keyphrases
- cost function
- computational complexity
- detection algorithm
- preprocessing
- objective function
- np hard
- linear programming
- worst case
- optimal solution
- similarity measure
- high dimensional
- search space
- prior information
- regularization parameter
- structured light
- clustering method
- sparse matrix
- expectation maximization
- semi supervised
- probabilistic model
- dynamic programming
- feature space