Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
In this paper, we propose a level set based energy functional, the minimization of which results in simultaneous background modeling, foreground segmentation, and contour smoothin...
Suk Ho Lee, Nam-seok Choi, Byung-Gook Lee, Moon Gi...
We propose a rate-distortion optimized framework to stream scalable bitstreams of 3-D wavelet video stored at the sender to a remote receiver. Based on the source rate-distortion ...
— The task in control allocation is to determine how to generate a specified generalized force from a redundant set of control effectors where the associated actuator control in...
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...