赫然(中國科學院自動化研究所研究員)

赫然(中國科學院自動化研究所研究員)

赫然,男,中國科學院自動化研究所研究員,中國科學院自動化研究所獲模式識別與智慧型系統專業博士學位,在權威國際期刊IEEE TPAMI、TIP、TNNLS、TKDE、MIT NECO,權威國際會議AAAI, CVPR等上發表論文60餘篇。現擔任Elsevier國際期刊Neurocomputing和IET image processing的編委。

基本介紹

人物經歷,研究領域,學術任職,部分學術論文,部分著作,

人物經歷


赫然,研究員,2001年在大連理工大學獲計算機科學學士學位,2004年在大連理工大學獲計算機軟體與理論碩士學位,2009年在中國科學院自動化研究所獲模式識別與智慧型系統專業博士學位。2010年加入模式識別國家重點實驗室工作。主要研究方向是生物特徵識別、機器學習理論和資訊理論學習理論。

研究領域


生物特徵識別、模式識別、機器學習、資訊理論

學術任職

IET Image Processing編委 (2012-)
北京圖象圖形學學會理事 (2012-)
Neurocomputing編委 (2011-)

部分學術論文

(1)Learning predictable binary codes for face indexing, Pattern Recognition, 2015
(2)Robust Subspace Clustering With Complex Noise, IEEE Trans. Image Processing, 2015
(3)Cross-Modal Subspace Learning viaPairwiseConstraints, IEEE Trans. Image Processing, 2015
(4)Half-quadratic based Iterative Minimization for Robust Sparse Representation, IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), 2014
(5)Recovery of Corrupted Low-rank Matrix by ImplicitRegularizers, IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), 2014
(6)Two-stage Nonnegative Sparse Representation for Large-scale Face Recognition, IEEE Trans. Neural Network and Learning System (TNNLS), 2013
(7)L21 RegularizedCorrentropyfor Robust Feature Selection, IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2012
(8)MaximumCorrentropyCriterion for Robust Face Recognition, IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), 2011
(9)A RegularizedCorrentropyFramework for Robust Pattern Recognition, MIT Neural Computation (NECO), 2011
(10)Robust Principal Component Analysis Based on MaximumCorrentropyCriterion, IEEE Trans. Image Processing, 2011
(11)Recovery of Corrupted Low-Rank Matrices via Half-Quadratic basedNonconvexMinimization, IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2011(12)Nonnegative Sparse Coding for Discriminative Semi-supervised Learning, IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2011
(13)Two-stage Sparse Representation for Robust Recognition on Large-scale Database, In Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2010

部分著作

(1)基於信息理論的魯棒模式識別, Robust recognition via information theoretic learning, Springer

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