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Semi-supervised Robust Feature Selection with ?q-Norm Graph for Multiclass Classification

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Chinese Journal of Electronics 2021年第4期30卷 611-622页

作者： LUO Hui han jiqing Harbin Institute of Technology

Flexible manifold embedding（FME） is a semi-supervised dimension reduction framework. It has been extended into feature selection by using different loss functions and sparse regularization methods. However,these kind of methods used the quadratic form of graph embedding, thus the results are sensitive to noise and outliers. In this paper, we propose a general semisupervised feature selection model that optimizes an ?norm of FME to decrease the noise sensitivity. Compare to the fixed parameter model, the ?-norm graph brings flexibility to balance the manifold smoothness and the sensitivity to noise by tuning its parameter. We present an efficient iterative algorithm to solve the proposed?-norm graph embedding based semi-supervised feature selection problem, and offer a rigorous convergence analysis. Experiments performed on typical image and speech emotion datasets demonstrate that our method is effective for the multiclass classification task, and outperforms the related state-of-the-art methods.

关键词： Feature selection Semi-supervised learning Flexible manifold embedding

Partial Least Squares Based Total Variability Space Modeling for I-Vector Speaker Verification

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Chinese Journal of Electronics 2018年第6期27卷 1229-1233页

作者： CHEN Chen han jiqing School of Computer Science and Technology Harbin Institute of Technology

As an effective and low-dimension representation for speech utterances with different lengths,i-vector method has drawn considerable attentions in speaker verification. Training a Total variability space(TVS) is one of the key parts in the i-vector method. However, the traditional training method only explores the relationship between different mean supervectors, ignoring priori category information of speakers, which results in a lack of discrimination. In the proposed method, a discriminative TVS based on Partial least squares(PLS) is estimated, in which both the correlation of intra-class and the distinction of inter-class are fully utilized due to using speaker labels, and the proposed method can achieve a better performance.

关键词： Speaker verification I-vector Total variability space Partial least squares

改性含钛高炉渣中金红石的选择性分离及浸出机理研究

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有色金属工程 2024年第10期14卷 81-91页

作者：韩吉庆张力殷红梅冯秋平杨明飞江苏电子信息职业学院数字装备学院江苏淮安223003 东北大学冶金学院沈阳110819

含钛高炉渣的综合利用是冶金领域亟待解决的关键问题。针对该问题,以改性含钛高炉渣(含钛高炉渣在高温下经过氧化硅、压缩空气改性处理得到的炉渣)为原料,通过重选-碱浸-酸浸工艺来实现金红石晶体的选择性分离,获得高品质的人造金红石... 详细信息

含钛高炉渣的综合利用是冶金领域亟待解决的关键问题。针对该问题,以改性含钛高炉渣(含钛高炉渣在高温下经过氧化硅、压缩空气改性处理得到的炉渣)为原料,通过重选-碱浸-酸浸工艺来实现金红石晶体的选择性分离,获得高品质的人造金红石。具体研究各工艺参数对重选实验、碱浸实验、酸浸实验的影响。结果表明,较佳的工艺条件为:-150μm改性渣占比79.53%、冲程14 mm、冲次360 times/min;碱浸温度95℃、碱浸时间90 min、NaOH浓度3.0 mol/L;酸浸温度65℃、酸浸时间60 min和HCl浓度3.0 mol/L。产品金红石的TiO2含量为98.20%,MgO和CaO总含量为0.47%,是氯化钛白的优质原料。此外,通过电位-pH图明晰了碱浸-酸浸实验的浸出机理。

关键词：改性含钛高炉渣重选碱浸酸浸人造金红石

IMPROVING VOICE ACTIVITY DETECTION VIA WEIGHTING LIKELIHOOD AND DIMENSION REDUCTION

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Journal of Electronics(China) 2008年第3期25卷 330-336页

作者： Wang Huanliang han jiqing Li Haifeng Zheng Tieran Department of Computer Science and Technology Harbin Institute of Technology Harbin 150001 China

The performance of the traditional Voice Activity Detection （VAD） algorithms declines sharply in lower Signal-to-Noise Ratio （SNR） environments. In this paper, a feature weighting likelihood method is proposed for noise-robust VAD. The contribution of dynamic features to likelihood score can be increased via the method, which improves consequently the noise robustness of VAD. Divergence based dimension reduction method is proposed for saving computation, which reduces these feature dimensions with smaller divergence value at the cost of degrading the performance a little. Experimental results on Aurora Ⅱ database show that the detection performance in noise environments can remarkably be improved by the proposed method when the model trained in clean data is used to detect speech endpoints. Using weighting likelihood on the dimension-reduced features obtains comparable, even better, performance compared to original full-dimensional feature.

关键词： Voice Activity Detection (VAD) Weighting likelihood Divergence Dimension reduction Noise robustness

Effect of chemical regulators on the recovery of leaf physiology,dry matter accumulation and translocation,and yield-related characteristics in winter wheat following dry-hot wind

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Journal of Integrative Agriculture 2024年第1期23卷 108-121页

作者： Yanan Xu Yue Wu Yan han jiqing Song Wenying Zhang Wei han Binhui Liu Wenbo Bai Institute of Environment and Sustainable Development in Agriculture Chinese Academy of Agricultural SciencesBeijing 100081China Institute of Dryland Farming Research Hebei Academy of Agriculture and Forestry SciencesHengshui 053000China Shandong General Station of Agricultural Technology Extension Jinan 250100China

Dry-hot wind stress causes losses in wheat productivity in major growing regions worldwide,especially winter wheat in the Huang-Huai-Hai Plain of China,and both the occurrence and severity of such events are likely to increase with global climate *** investigate the recovery of physiological functions and yield formation using a new noncommercial chemical regulator(NCR)following dry-hot wind stress,we conducted a three-year field experiment(2018-2021)with sprayed treatments of tap water(control),monopotassium phosphate(CKP),NCR at both the jointing and flowering stages(CFS),and NCR only at the jointing stage(FSJ)or flowering stage(FSF).The leaf physiology,biomass accumulation and translocation,grain-filling process,and yield components in winter wheat were *** the single spraying treatments,the FSJ treatment was beneficial for the accumulation of dry matter before anthesis,as well as larger increases in the maximum grain-filling rate and mean grain-filling *** FSF treatment performed better in maintaining a high relative chlorophyll content as indicated by the SPAD value,and a low rate of excised leaf water loss in flag leaves,promoting dry matter accumulation and the contribution to grain after anthesis,prolonging the duration of grain filling,and causing the period until the maximum grain-filling rate reached *** CFS treatment was better than any other treatments in relieving the effects of dry-hot *** exogenous NCR treatments significantly increased grain yields by 12.45-18.20% in 2018-2019,8.89-13.82% in 2019-2020,and 8.10-9.00% in *** conventional measure of the CKP treatment only increased grain yield by 6.69% in *** CFS treatment had the greatest mitigating effect on yield loss under dry-hot wind stress,followed by the FSF and FSJ treatments,and the CKP treatment only had a minimal *** summary,the CFS treatment could be used as the main chemical control measure for wheat stress resistance and yield

关键词： preparation stress foliar spraying grain-filling remobilization

MAP-based Audio Coding Compensation for Speaker Recognition

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Journal of Signal and Information Processing 2011年第3期2卷 165-169页

作者： Tao Jiang jiqing han 不详

The performance of the speaker recognition system declines when training and testing audio codecs are mismatched. In this paper, based on analyzing the effect of mismatched audio codecs in the linear prediction cepstrum coefficients, a method of MAP-based audio coding compensation for speaker recognition is proposed. The proposed method firstly sets a standard codec as a reference and trains the speaker models in this codec format, then learns the deviation distributions between the standard codec format and the other ones, next gets the current bias via using a small number adaptive data and the MAP-based adaptive technique, and then adjusts the model parameters by the type of coming audio codec format and its related bias. During the test, the features of the coming speaker are used to match with the adjusted model. The experimental result shows that the accuracy reached 82.4% with just one second adaptive data, which is higher 5.5% than that in the baseline system.

关键词： Audio Coding Compensation Speaker Recognition MAP-Based

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基于谐波结构信息的自动音乐标注方法

计算机研究与发展 2006年第12期43卷 2187-2192页

作者：郑贵滨韩纪庆哈尔滨工业大学计算机科学与技术学院

根据同类乐器音色相似的特点,提出了一种基于谐波结构信息的自动音乐标注方法·该方法事先提取一类乐器中某一件乐器的谐波结构信息·根据输入信号选择合适的不谐和系数、频率误差系数,结合谐波结构信息构造同类未知乐器的响度谱,然后... 详细信息

根据同类乐器音色相似的特点,提出了一种基于谐波结构信息的自动音乐标注方法·该方法事先提取一类乐器中某一件乐器的谐波结构信息·根据输入信号选择合适的不谐和系数、频率误差系数,结合谐波结构信息构造同类未知乐器的响度谱,然后采用截断完全最小二乘法实现对同类未知乐器音乐的标注·对钢琴音乐的实验证明,该方法不仅能对未知乐器的音乐进行标注,取得较好的性能,还可辨别音符的响度强弱·

关键词：音乐标注谐波结构信息响度截断完全最小二乘法

基于听觉特性的音频水印能量估计及自适应嵌入算法研究

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声学学报 2006年第1期31卷 48-54页

作者：冯涛韩纪庆哈尔滨工业大学计算机科学与技术学院

基于水印能量对提高水印鲁棒性的重要作用,提出了音频水印载体可以嵌入最大水印能量的估计方法。该方法利用了听觉掩蔽特性及MPEG-2听觉模型,计算音频载体在变换域下每帧数据可以嵌入的水印能量,进而估计整体水印能量,并将能量估计方法... 详细信息

基于水印能量对提高水印鲁棒性的重要作用,提出了音频水印载体可以嵌入最大水印能量的估计方法。该方法利用了听觉掩蔽特性及MPEG-2听觉模型,计算音频载体在变换域下每帧数据可以嵌入的水印能量,进而估计整体水印能量,并将能量估计方法应用在自适应水印嵌入算法的模型构造上。实验结果验证了水印鲁棒性随嵌入能量的增加而提高;所提出的自适应水印嵌入模型,能根据音频载体自身的特点动态调整水印嵌入强度,在保证听觉质量的同时,提高了水印嵌入量。克服了通过重复实验判断水印嵌入能量方法的复杂性,以及在嵌入相同能量情况下,采用固定水印嵌入强度系数导致的噪声过大等缺点。

关键词：自适应嵌入能量估计音频水印听觉特性算法研究水印嵌入算法 MPEG-2 音频载体强度系数自适应水印

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声学事件检测技术的发展历程与研究进展

数据采集与处理 2016年第2期31卷 231-241页

作者：韩纪庆哈尔滨工业大学计算机科学与技术学院哈尔滨150001

声学事件检测是指对连续音频信号流中具有明确语义的片段进行检测与标定的过程。它是机器对环境声音场景进行识别和语义理解的重要基础,并将在未来类人机器人声音环境的语义理解、无人车行车周边环境的声音感知等方面发挥重要的作用。... 详细信息

声学事件检测是指对连续音频信号流中具有明确语义的片段进行检测与标定的过程。它是机器对环境声音场景进行识别和语义理解的重要基础,并将在未来类人机器人声音环境的语义理解、无人车行车周边环境的声音感知等方面发挥重要的作用。本文分别从与声学事件检测相关领域的发展历程以及应用需求出发,对声学事件检测的历史进行了回顾,介绍了典型的研究工作,并分析了未来的发展方向。在相关领域的分析中,重点介绍语音识别、基于计算的音乐处理及基于听觉特性的声音处理等方面的工作;在应用需求方面,介绍机器的环境声音感知与多媒体信息检索方面的工作;最后分析本领域的研究现状,并展望其未来的发展趋势。

关键词：声学事件检测语义理解环境感知