机译:非负稀疏建模的理想恢复条件
Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, USA;
Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, USA;
Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, USA;
Dictionaries; Computational modeling; Analytical models; Hyperspectral sensors; Distortion; Coherence; Indexes;
机译:纤维取向分布功能从非负稀疏恢复,使用DW-MRI数据集进行局部纤维取向和牵引的定量分析
机译:使用多个激发k均值和非负稀疏编码对视觉皮层中的对象识别建模
机译:带有子空间音符建模的非负群稀疏性用于复音转录
机译:通过深度学习快速逼近非负稀疏恢复
机译:稀疏性的双线性逆问题:最佳可识别性条件和高效恢复
机译:稀疏图正规化非负矩阵分解基于Huber损失模型的癌症数据分析
机译:非负稀疏建模的完美恢复条件