9 citations · 11 across the 2 of their papers we have counts for
2 papers
cs.CV2017★ 9 cited
DeepKSPD: Learning Kernel-matrix-based SPD Representation for Fine-grained Image Recognition
Melih Engin, Lei Wang, Luping Zhou +1
Being symmetric positive-definite (SPD), covariance matrix has traditionally been used to represent a set of local descriptors in visual recognition. Recent study shows that kernel…
cs.LG2017★ 2 cited
Learning Approximate Stochastic Transition Models
Yuhang Song, Christopher Grimm, Xianming Wang +1
We examine the problem of learning mappings from state to state, suitable for use in a model-based reinforcement-learning setting, that simultaneously generalize to novel states an…