Recently, convolutional neural networks have demonstrated excellent performance on various visual tasks, including the classification of common two-dimensional images. In this paper, deep… (More)
The deep convolutional neural network (CNN) is of great interest recently. It can provide excellent performance in hyperspectral image classification when the number of training samples is… (More)
Switched-capacitor technology is widely used in low power dc-dc converter, especially in power management of the integrated circuit. These circuits have a limitation: high pulse currents will occur… (More)
The automotive industry is moving toward 42 volt to meet the more electric needs. Several dual voltage (42 and 14 volt) architectures have been proposed for the transition and accommodation of… (More)
Twentieth Annual IEEE Applied Power Electronics…
2005
This paper presents a detailed analysis about the power losses and efficiency of multilevel dc-dc converters. The analysis considers different loss mechanisms and gives out quantitative descriptions… (More)
IEEE Journal of Selected Topics in Applied Earth…
2016
This paper proposes to combine collaborative representation (CR) and sparse representation (SR) for hyperspectral image classification. SR may select too few samples that cannot well reflect… (More)
In this paper we extend the standard LIBOR market model to accommodate the pronounced phenomenon of implied volatility smiles/skews. We adopt a multiplicative stochastic factor to the volatility… (More)
2011 Joint Conference of the IEEE International…
2011
Recent advances in temperature-compensation for FBAR (Film Bulk Acoustic Resonators) have brought this technology forward as a serious contender in the oscillator marketplace. As with any mechanical… (More)
Recent studies have reported various methods that recognize amputees' intent regarding locomotion modes, which is potentially useful for volitional control of powered artificial legs. However,… (More)
Novel collaborative representation (CR)-based nearest neighbor (NN) algorithms are proposed for hyperspectral image classification. The proposed methods are based on a CR computed by an ℓ2-norm… (More)