Deep learning-based methods have achieved promising results on surgical instrument segmentation. However, the high computation cost may limit application of deep models to time-sensitive tasks such as online video analysis for robotic-assisted surgery. Moreover, current still suffer from challenging conditions in images various lighting and presence blood. We propose a novel Multi-frame Feature...

This surgical planning and training system integrates an electronic atlas of brain structure with a virtual stereotactic frame and patient data, for intuitive, reach-in manipulation. The objective is plans prepared faster; better, more accurate choice of target points; improved avoidance of sensitive structures; fewer sub-optimal frame attachments; and speedier, more effective training. If vali...

results the results show that the individual and demographic factor (idf), organizational factor (of), h & s training factor (tf), workplace-human factor (whf), factor related to type of accident occurrence (taf), h & s risk management system factor (rmsf), and accident time factor (atf) were considered to be effective and significant independent latent factors in occupational injuries. conclus...

Many of the problems arising in speech processing are characterized by extremely large training and testing sets, constraining the kinds of models and algorithms that lead to tractable implementations. In particular, we would like the amount of processing associated with each test frame to be sublinear (i.e., logarithmic) in the number of training points. In this paper, we consider smoothed ker...

In this paper, we present a simple and efficient novel joint synchronization algorithm for OFDM system. It is based on training cyclic prefix to estimate the Initial symbol timing and carrier frequency offsets. Training sequence is an important part of the symbols which organize the frame timing and initial symbol timing. Cyclic prefix used the circular property for insertion and removal itself...

The harmonious development of China state-owned enterprise and employees is the essential approach to develop state-owned enterprise. The development of enterprise is the premise of employees’ developments, and only harmonious enterprise can ensure employees’ complete development and bring up better employees. At the same time, employee’s quality decides the development level of enterprise, and...

The requirement of high spectrum efficiency puts forward higher requirements on frame synchronization (FS) in wireless communication systems. Meanwhile, a large number nonlinear devices or blocks will inevitably cause distortion. To avoid the occupation bandwidth resources and overcome difficulty distortion, an extreme learning machine (ELM)-based network is introduced into superimposed trainin...

This paper presents an efficient method for automatic training of performant visual object detectors, and its successful application to training of a back-view car detector. Our method for training detectors is adaBoost applied to a very general family of visual features (called “control-point” features), with a specific feature-selection weak-learner: evo-HC, which is a hybrid of Hill-Climbing...

Front-end features computed using Multi-Layer Perceptrons (MLPs) have recently attracted much interest, but are a challenge to scale to large networks and very large training data sets. This paper discusses methods to reduce the training time for the generation of MLP features and their use in an ASR system using a variety of techniques: parallel training of a set of MLPs on different data sub-...

a generalization of the known results in fusion frames and $g$-frames theory to continuous fusion frames which defined by m. h. faroughi and r. ahmadi, is presented in this study. continuous resolution of the identity (cri) is introduced, a new family of cri is constructed, and a number of reconstruction formulas are obtained. also, new results are given on the duality of continuous fusion fram...