Titlebook: ;

BOOR

Alexei Gvishiani,Anatoly Solovieve the gradient-based problem of most recurrent neural networks in the training process. However, there may be an ill-posed problem when the least square method is used to calculate the output weight. In this paper, we proposed an echo state network based on L. norm regularization. The main idea is t

渗透

Peter W. Roberts,Saurabh A. Lallractions) but also implicit information (i.e., side information) should be utilized. Generally, both explicit and implicit information can be categorized according to the following assumptions: 1) Users with same behaviors are similar; 2) Items related to the same user are similar; 3) Items with sam

匍匐前进

Outwit

Guido Visconti,Piero Di Carlo,Mark Schoeberl the stations are actuated at partial time. Therefore, it is necessary to study how to actively collect a subset of air quality data to maximize the estimation accuracy of air quality at other locations and time. In order to solve this challenge, we propose the active variational adversarial model (

杠杆支点

Wavelet Analysis Based Noncontact Vital Signal Measurements Using mm-Wave Radarignals detection using microwave radar is preferable due to its zero disturbance to the subject. This paper presents a Wavelet Analysis (WA) based noncontact heartbeat and respiration signals detection algorithm using millimeter Frequency Modulated Continuous Wave (FMCW) radar. In WA, wavelet packet

RAG

Study on Feasibility of Remote Metal Detection Using Millimeter Wave Radar for Convenient and Efficiate-of-the-art solutions are based on a huge antenna array which is too cumbersome, ., it is difficult to move, repair, and also occupies a large amount of space. From views of the long term, it is uneconomical, high power consumption and narrow application. In this paper, we propose a new and more

Apoptosis

Long-Range Gesture Recognition Using Millimeter Wave Radarose-range gesture recognition, but fall short in range extension, ., they are unable to recognize gestures more than one meter away from considerable noise motions. In this paper, we design a long-range gesture recognition model which utilizes a novel data processing method and a customized artifici

细丝

Towards Fine-Grained Indoor White Space Sensinglthough a few indoor white space exploration systems have been proposed in the past few years, they mainly focused on exploring white spaces at a small set of candidate locations. However, what we need are the white space availabilities at arbitrary indoor locations instead of only those at the cand

motivate

FAST