Lipreading, aiming at interpreting speech by watching the lip movements of the speaker, has great significance in human communication and speech understanding. Although has reached a feasible performance, lipreading still faces two crucial …
Benefited from advances of neuron tracing techniques, the ever-increasing number of digitally reconstructed 3D neuron images have greatly facilitated the research in neuromorphology. However, the sheer volume and the complexity of these 3D neuron …
We introduce a new multi-dimensional nonlinear embedding, Piecewise Flat Embedding (PFE), for image segmentation. Based on the theory of sparse signal recovery, piecewise flat embedding with diverse channels attempts to recover a piecewise constant …
With the ever-increasing number of digitally reconstructed neurons, computational analytics of 3D neuronal morphology has become a new avenue to understand neuroanatomical structures and functional properties. However, traditional methods cannot well …
Image segmentation is a critical step in many computer vision tasks, including high-level visual recognition and scene understanding as well as low-level photo and video processing. In this paper, we propose a new nonlinear embedding, called …