In this paper, we propose a novel 3D object detector that can exploit both LIDAR as well as
cameras to perform very accurate localization. Towards this goal, we design an end-to-end …

Subspace estimation plays an important role in a variety of modern signal processing
applications. We present a new approach for tracking the signal subspace recursively. It is based …

Intelligent fault diagnosis (IFD) refers to applications of machine learning theories to machine
fault diagnosis. This is a promising way to release the contribution from human labor and …

New transportation fuels are badly needed to reduce our heavy dependence on imported oil
and to reduce the release of greenhouse gases that cause global climate change; cellulosic …

From typical electrical appliances to thriving intelligent robots, the exchange of information
between humans and machines has mainly relied on the contact sensor medium. However, …

High mutation frequency during reverse transcription has a principal role in the genetic
variation of primate lentiviral populations. It is the main driving force for the generation of drug …

Cellulase and bovine serum albumin (BSA) were added to Avicel cellulose and solids containing
56% cellulose and 28% lignin from dilute sulfuric acid pretreatment of corn stover. Little …

Deep neural networks have been shown to be very powerful modeling tools for many supervised
learning tasks involving complex input patterns. However, they can also easily overfit to …

In this paper we propose a novel deep neural network that is able to jointly reason about 3D
detection, tracking and motion forecasting given data captured by a 3D sensor. By jointly …

Confronting the depletion of fossil energy and the pollution of chemical batteries, together
with the rapid development of various portable electronic devices and the Internet of Things (…