ieee transactions on pattern analysis and machine intelligence

1, JANUARY 2002. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1 ASTER: An Attentional Scene Text Recognizer with Flexible Rectification Baoguang Shi, Mingkun Yang, Xinggang Wang, Pengyuan Lyu, Cong Yao, and Xiang Bai Abstract—A challenging aspect of scene text recognition is to handle text with distortions or irregular layout. 34 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. XX, XXXXXXX 2010 1 The authors are with the School of Engineering, University of California, IO, OCTOBER 1990 993 Neural Network Ensembles LARS KAI HANSEN AND PETER SALAMON Abstract-We propose several means for improving the performance and training of neural networks for classification. XX, NO. The journal encourages submissions from the research community where attention will be on the novelty and the practical impact of the reported work. X, XXXX 2 Cross-Domain Temporal Alignment (CDTA): Tem-poral alignment of sequences is an important prob-lem with many practical applications such as speech recognition [11], [12], activity recognition [4], tempo-ral segmentation [5], curve matching [6], chromato- We use crossvali- 4, april 2016 Unique features or patterns are learned from a large set of labeled images … 31, NO. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. It changes the state but also passes on informa-tion that needs to be preserved. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 6, NO. Daugman, “High Confidence Visual Recognition of Persons by a Test of Statistical Independence,” IEEE Trans. A) Collective motions of the bacterial colony, fish shoal, bird flock, sheep herd, athletic group, and traffic flow. information: DOI 10.1109/TPAMI.2014.2300484, IEEE Transactions on Pattern Analysis and Machine Intelligence IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL.XX, NO.XX, XX 2 A) B) Fig. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, SPECIAL ISSUE ON BIOMETRICS 2 Very little work has been done in this area [12], [8], [9] and was focusing mainly on person identification but not on person authentication. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. The object is defined by its location and extent in a single frame. 1, JANUARY 2010 1 Tracking-Learning-Detection Zdenek Kalal, Krystian Mikolajczyk, and Jiri Matas, Abstract—This paper investigates long-term tracking of unknown objects in a video stream. XX, APRIL 2008 2 plane rotation together with the similarity distance in such 2D/3D indexing scenarios, particularly for some emerging applications like sketch-based mod-eling [15]. 27, NO. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, JULY 2020 3 a more generic CCNet by extending the criss-cross attention module from 2D to 3D; 3) we include more extensive exper-iments on the LIP, CamVid and COCO datasets to verify the effectiveness and generalization ability of our CCNet. In this paper, we used a Gaussian function but, as discussed in [15], a bell-shaped tuning function could also be approximated via a normalized dot-product. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. IEEE Transactions on Pattern Analysis and Machine Intelligence presents high-quality, original contributions where all submitted papers are peer reviewed to assure the best quality. Transactions on Pattern Analysis and Machine Intelligence IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. Mount is with the Department of Computer Science, University of Maryland, College Park, MD 20742. IEEE Transactions on Pattern Analysis and Machine Intelligence | Citations: 29,822 | Theory and application of computers in pattern analysis and machine intelligence. , OCTOBER 2015 1 Photometric Stereo in a Scattering Medium Zak Murez, Tali Treibitz, Member, IEEE, Ravi Ramamoorthi, Senior Member, IEEE, and David Kriegman, Fellow, IEEE Abstract—Photometric stereo is widely used for 3D reconstruction. XX, AUGUST 2020 1 Res2Net: A New Multi-scale Backbone Architecture Shang-Hua Gao , Ming-Ming Cheng , Kai Zhao, Xin-Yu Zhang, Ming-Hsuan Yang, and Philip Torr Abstract—Representing features at multiple scales is of great importance for numerous vision tasks. 12. XX, MONTH YEAR 1 Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates Jun Liu, Student Member, IEEE, Amir Shahroudy, Student Member, IEEE, 24, NO. Fig. 1, JANUARY 2013 171. 1. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 6. 718 ieee transactions on pattern analysis and machine intelligence, vol. The TSV at each nonterminal node in a model graph defines a position in the database at which a pointer to both the model and the node is stored. IEEE Transactions on Pattern Analysis and Machine Intelligence > 1979 > PAMI-1 > 1 > 110 - 116 This correspondence describes research in the development of symbolic registration techniques directed toward the comparison of pairs of images of the same scene to ultimately generate descriptions of the changes in the scene. 7. The curved arrows indicate this insertion process. 38, no. 35, NO. 7, JULY 2002 881. 1148-1161, Nov. 1993. 29, NO. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 12, NO. 6, JUNE 2009 989. M.-H. Yang is with Honda Fundamental Research Labs, 800 California Street, Mountain View, CA 94041. 24, NO. 10.1109/TPAMI.2015.2417577, IEEE Transactions on Pattern Analysis and Machine Intelligence IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 4 TABLE 1 Statistics of the NUS-PRO database. To enhance the discriminant ability of CGIs in complex environment, we also introduce several strategies to generate real and synthetic CGI templates. G. Liu is with the Department of Computer Science and Engineering, Shanghai Jiao Tong University, China, the Coordinated Science Labora-tory, University of Illinois, 1308 West Main Street, Urbana-Champaign, T. Kanungo is with the IBM Almaden Research Center, 650 Harry Road, San Jose, CA 95120. ieee transactions on pattern analysis and machine intelligence, vol. [12] have proposed to model the EEG signal using autoregressive (AR) models X, NO. 7. XX, OCTOBER 200X 1 The Geometry of Reflectance Symmetries Ping Tan, Member, IEEE, Long Quan, Fellow, IEEE, and Todd Zickler Member, IEEE Abstract—Different materials reflect light in different ways, and this reflectance interacts with shape, lighting, and IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1 RaspiReader: Open Source Fingerprint Reader Joshua J. Engelsma, Kai Cao, and Anil K. Jain, Life Fellow, IEEE Abstract—We open source an easy to assemble, spoof resistant, high resolution, optical fingerprint reader, called RaspiReader, using ubiquitous components. 15, no. JULY 1990 629 Scale-Space and Edge Detection Using Anisotropic Diffusion PIETRO PERONA AND JITENDRA MALIK Abstracf-The scale-space technique introduced by Witkin involves generating coarser resolution images by convolving the original image XX, NO. E-mail: mount@cs.umd.edu. The IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) is a monthly journal published by the IEEE Computer Society. 32, no. D. Gao is with the Visualization and Computer Vision Lab, General Electric Global Research, 1 Research Circle, KW-C412, Niskayuna, NY 12309. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. , NO. X, XXX XXX 2 As an illustrative example, we show an example of a gait sequence, GEI and CGI in Fig. E-mail: gaoda@ge.com.. S. Han and N. Vasconcelos are with the Department of Electrical and 22, no. The IEEE Transactions on Pattern Analysis and Machine Intelligence publishes articles on all traditional areas of computer vision and image understanding, all traditional areas of pattern analysis and recognition, and selected areas of machine intelligence, with a particular emphasis on machine learning for pattern analysis. Google Scholar Digital Library Populating the Model Database. 8, august 2000 J. Shi is with the Robotics Institute, Carnegie Mellon University, 5000 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. ieee transactions on pattern analysis and machine intelligence: supplemental material 15 table xi psnr, ssim results for color images corrupted by n(0;10) for bm3d1, bm3d2, nlmeans, 3d-ihosvd and 4dhosvd image # bm3d1 bm3d2 nlm 3d-ihosvd 4dhosvd 1 34.651, 0.955 34.651, 0.955 31.386, 0.941 33.823, 0.950 33.910, 0.945 1132 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 7, JULY 2005 Fig. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. XXX, MONTH YEAR 3 trick, we can extend our subspace averaging algorithm to compute a non-linear average subspace. Pattern Analysis and Machine Intelligence, vol. XX, NO. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI / PAMI) Acceptance Rate The definition of journal acceptance rate is the percentage of all articles submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI / PAMI) that was accepted for publication. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. IEEE Transactions on Pattern Analysis and Machine Intelligence IF is increased by a factor of 7.23 and approximate percentage change is 59.31% when compared to preceding year 2017, which shows a rising trend. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2 Each layer reads the state from its preceding layer and writes to the subsequent layer. X, NO. 3, MARCH 2007 1. NO. The IEEE Transactions on Pattern Analysis and Machine Intelligence publishes articles on all traditional areas of computer vision and image understanding, all traditional areas of pattern analysis and recognition, and selected areas of machine intelligence, with a particular emphasis on machine learning for pattern analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence is a monthly peer-reviewed scientific journal published by the IEEE Computer Society.It covers research in computer vision and image understanding, pattern analysis and recognition, and machine intelligence. ResNets [5] make this information preservation explicit through additive identity transformations. 888 ieee transactions on pattern analysis and machine intelligence, vol. 412 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. X, NO. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 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