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An restricted Boltzmann machine learning algorithm were proposed in the two-lead heart beat classification problem. ECG classification is a complex pattern recognition problem. The unsupervised learning algorithm of restricted Boltzmann machine is ideal in mining the massive unlabelled ECG wave beats collected in the heart healthcare monitoring applications. A restricted Boltzmann machine (RBM) is...
We present PET- the Pascal animal classes Eye Tracking database. Our database comprises eye movement recordings compiled from forty users for the bird, cat, cow, dog, horse and sheep trainval sets from the VOC 2012 image set. Different from recent eye-tracking databases such as [1, 2], a salient aspect of PET is that it contains eye movements recorded for both the free-viewing and visual search task...
With tandem mass spectrometry (MS/MS), spectra can be generated by various fragmentation techniques including collision-induced dissociation (CID), higher-energy collisional dissociation (HCD), electron capture dissociation (ECD), electron transfer dissociation (ETD) and so on. At the same time, de novo sequencing using multiple spectra from the same peptide generated by different fragmentation techniques...
The location information of interest points is an important cue for action recognition. In order to model the spatio-temporal distribution, we propose a novel position feature which is constructed by normalized pairwise relative positions of points. Promising performance has been achieved by Vector of Locally Aggregated Descriptors (VLAD) which gather the differences between descriptors and visual...
With tandem mass spectrometry (MS/MS), spectra can be generated by various methods including collision-induced dissociation (CID), higher-energy collisional dissociation (HCD), electron capture dissociation (ECD) and electron transfer dissociation (ETD). At the same time, de novo sequencing using multiple spectra from the same peptide is becoming popular in proteomics studies. The focus of this work...
Social attention behavior offers vital cues towards inferring one's personality traits from interactive settings such as round-table meetings and cocktail parties. Head orientation is typically employed as a proxy for determining the social attention direction when faces are captured at low-resolution. Recently, multi-task learning has been proposed to robustly compute head pose under perspective...
In recent years, de novo peptide sequencing from mass spectrometry data has developed as one of the major peptide identification methods with the emergence of new instruments and advanced computational methods. However, there are still limitations to this method; for example, the typically used spectrum graph model cannot represent all the information and relationships inherent in tandem mass spectra...
In ensemble learning, a higher accuracy can be achieved by integrating some classifiers instead of all the classifiers. But, it is very difficult to select the best classifier combination which can be seen as an optimization problem, from a pool of classifiers. To deal with this problem, we propose a new classifier selection method, Sorting-based Dynamic Classifier Ensemble Selection (SDES), which...
This paper describes an active transfer learning technique for multi-view head-pose classification. We combine transfer learning with active learning, where an active learner asks the domain expert to label the few most informative target samples for transfer learning. Employing adaptive multiple-kernel learning for head-pose classification from four low-resolution views, we show how active sampling...
In this paper, ridge regression (RR) method is adopted for predicting the formation of microporous aluminophosphate AlPO4-5 based on a database of AlPO synthesis, which aims to provide a useful guidance to the rational synthesis of microporous materials as well as other inorganic crystalline materials. To solve the problem of class imbalance, four guided resampling methods proposed in our previous...
Based on the camera calibration principle of Tsai's two stage method, a vehicle speed measurement method by video was put forward and the error analysis of camera calibration and vehicle speed measurement were carried out in this paper. Firstly, the internal and external parameters of the camera were gained based on Tsai's two stage method. Secondly, the displacement offset of the same vehicle's feature...
In this paper, a 27.6 GHz Ka-band quadrature Doppler radar system is developed to measure the movement amplitude of periodic movement. Experiments were conducted to verify that by increasing the carrier frequency from 5.8 GHz to 27.6 GHz, the resolution can be improved to be in the sub-millimeter range. The relation between the sensitivity-limited detection range and movement amplitude under certain...
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