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haiyeong library [82 articles]

Статьи, недавно добавленные в библиотеку haiyeong .
  • The crucial role of CS in systems and synthetic biology
    Commun. ACM, Vol. 51, No. 5. (May 2008), pp. 15-18.
    by Jacques Cohen
    posted to systems_biology synthetic_biology by haiyeong on 2008-05-11 16:35:14 as read
  • Theoretical Foundations of Spatially-Variant Mathematical Morphology Part I: Binary Images
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 30, No. 5. (2008), pp. 823-836.
    by Nidhal Bouaynaya, Mohammed Charif-Chefchaouni, Dan Schonfeld
    posted to spatially_variant morphology image_processing by haiyeong on 2008-05-05 01:41:33 as ** along with 1 person xtizon
  • notes Beating the Hold-Out: Bounds for K-fold and Progressive Cross-Validation
    (1999), pp. 203-208.
    by Avrim Blum, Adam Kalai, John Langford
    posted to cross_validation by haiyeong on 2008-04-30 14:42:13 as **
  • notes On Cross Validation for Model Selection
    Neural Comp., Vol. 11, No. 4. (15 May 1999), pp. 863-870.
    by Isabelle Rivals, Leon Personnaz
    posted to pattern_recognition model_selection cross_validation by haiyeong on 2008-04-28 15:53:04 as read
  • notes A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
    (1995), pp. 1137-1145.
    by Ron Kohavi
    posted to pattern_recognition model_selection cross_validation by haiyeong on 2008-04-28 14:39:25 as read along with 9 people Repton stanley bigga chad_davis Ferran mad sdvillal lschilli fireman
  • Computed Tomographic Colonography to Screen for Colorectal Cancer, Extracolonic Cancer, and Aortic Aneurysm
    Arch Intern Med, Vol. 168, No. 7. (2008), pp. 696-705.
    by Cesare Hassan, Perry Pickhardt, Andrea Laghi, Daniel Kim, Angelo Zullo, Franco Iafrate, Lorenzo Di Giulio, Sergio Morini
    posted to ct_colonoscopy by haiyeong on 2008-04-25 22:02:34 as **
  • An introduction to ROC analysis
    Pattern Recognition Letters, Vol. 27, No. 8. (June 2006), pp. 861-874.
    by Tom Fawcett
    posted to roc by haiyeong on 2008-04-09 14:05:35 as ** along with 19 people and 7 groups AbnerCYH ldietz vavi dquest sdvillal xiaoyan2006 dwf camu schlauchi vmoa drivard nklee imrchen kmdaily gsiwo tgyork idonaldson napvasconcelos cdeane Skill-Inference Bioinformatics Crypto VT_DLRL Randomness LIVIA BergmanLab
  • Robust Face Recognition via Sparse Representation
    PAMI
    by J Wright, A Yang, A Ganesh, S Sastry, Y Ma
    posted to face_detection occlusion sparse_representation by haiyeong on 2008-04-08 14:00:21 as read
  • Learning Imbalanced Data Sets with a Min-Max Modular Support Vector Machine
    Neural Networks, 2007. IJCNN 2007. International Joint Conference on (2007), pp. 1673-1678.
    by Zhi-Fei Ye, Bao-Liang Lu
    posted to imbalanced_data svm by haiyeong on 2008-04-01 02:10:44 as **
  • Learning by Bagging and Adaboost based on Support Vector Machine
    Industrial Informatics, 2007 5th IEEE International Conference on, Vol. 2 (2007), pp. 663-668.
    by Yu Wang, Cheng De Lin
    posted to adaboost bagging svm by haiyeong on 2008-04-01 02:10:01 as **
  • Ensemble Learning Based on the Output Sensitivity of Multilayer Perceptrons
    Neural Networks, 2007. IJCNN 2007. International Joint Conference on (2007), pp. 1067-1072.
    by Jia Tang, Xiaoqin Zeng, Lei Lu
    posted to ann ensamble by haiyeong on 2008-03-27 01:34:08 as read
  • Aspects of discrete mathematics and probability in the theory of machine learning
    Discrete Applied Mathematics, Vol. 156, No. 6. (15 March 2008), pp. 883-902.
    by Martin Anthony
    posted to machine_learning mathematics by haiyeong on 2008-03-23 02:48:38 as ** along with 1 person AbnerCYH
  • A parallel environment for image data mining
    Parallel Computing in Electrical Engineering, 2002. PARELEC '02. Proceedings. International Conference on (2002), pp. 429-434.
    by A Mazurkiewicz, H Krawczyk
    posted to data_mining parallel by haiyeong on 2008-03-18 16:14:20 as read
  • Boosting Neural Networks
    Neural Comp., Vol. 12, No. 8. (1 August 2000), pp. 1869-1887.
    by Holger Schwenk, Yoshua Bengio
    posted to adaboost ann boosting by haiyeong on 2008-03-17 15:07:34 as **
  • notes Performing Feature Selection With Multilayer Perceptrons
    Neural Networks, IEEE Transactions on, Vol. 19, No. 3. (2008), pp. 431-441.
    by E Romero, JM Sopena
    posted to feature_selection neural_network by haiyeong on 2008-03-17 02:08:42 as read along with 1 person eacosta
  • notes Constructing Diverse Classifier Ensembles using Artificial training samples
    (August 2003), pp. 505-510.
    by P Melville, R Mooney
    posted to decorate ensemble by haiyeong on 2008-03-14 14:02:02 as read
  • notes The class imbalance problem: A systematic study
    Intelligent Data Analysis, Vol. 6, No. 5. (2002), pp. 429-449.
    by Nathalie Japkowicz1, Shaju Stephen1
    posted to classification imbalanced_data by haiyeong on 2008-03-13 14:08:46 as read
  • A Tutorial on Support Vector Machines for Pattern Recognition
    Data Mining and Knowledge Discovery, Vol. 2, No. 2. (1998), pp. 121-167.
    by Christopher JC Burges
    posted to svm tutorial by haiyeong on 2008-03-13 14:04:19 as read
  • Machine Learning: ECML 2007 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007. Proceedings
    posted to ecml by haiyeong on 2008-03-04 02:31:21 as **
  • Neural Networks and Other Machine Learning Methods in Cancer Research
    Computational and Ambient Intelligence (2007), pp. 964-971.
    by Alfredo Vellido, Paulo Lisboa
    posted to ct_colonoscopy by haiyeong on 2008-03-04 02:22:08 as *
  • notes A Dynamically Adjusted Mixed Emphasis Method for Building Boosting Ensembles
    Neural Networks, IEEE Transactions on, Vol. 19, No. 1. (2008), pp. 3-17.
    by V Gomez-Verdejo, J Arenas-Garcia, AR Figueiras-Vidal
    posted to adaboost emphasis_function by haiyeong on 2008-03-04 01:39:36 as read along with 1 person jjrodriguez
  • Aggregation of classifiers based on image transformations in biometric face recognition
    Machine Vision and Applications, Vol. 19, No. 2. (29 March 2008), pp. 125-140.
    by Gabriel Jarillo, Witold Pedrycz, Marek Reformat
    posted to face_detection by haiyeong on 2008-02-25 22:31:33 as *
  • A unified learning framework for object detection and classification using nested cascades of boosted classifiers
    Machine Vision and Applications, Vol. 19, No. 2. (29 March 2008), pp. 85-103.
    by Rodrigo Verschae, Javier Ruiz-Del-Solar, Mauricio Correa
    posted to boosting cascade classification face_detection by haiyeong on 2008-02-25 22:30:37 as *****
  • notes Combining Bagging, Boosting and Dagging for Classification Problems
    Knowledge-Based Intelligent Information and Engineering Systems (2007), pp. 493-500.
    by S Kotsianti, D Kanellopoulos
    posted to bagging boosting dagging ensemble by haiyeong on 2008-02-25 22:21:35 as read
  • Fast Asymmetric Learning for Cascade Face Detection
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 30, No. 3. (2008), pp. 369-382.
    by Jianxin Wu, Charles S Brubaker, Matthew D Mullin, James M Rehg
    posted to adaboost cascade_classification fast_feature_selection imbalanced_data linear_asymmetric_classifier by haiyeong on 2008-02-14 05:58:40 as read
  • Colon Cleansing for Virtual Colonoscopy Using Non-linear Transfer Function and Morphological Operations
    Imaging Systems and Techniques, 2007. IST '07. IEEE International Workshop on (2007), pp. 1-5.
    by A Skalski, M Socha, T Zielinski, M Duplaga
    posted to cleansing ct_colonoscopy by haiyeong on 2008-02-13 04:38:59 as *
  • High Throughput Analysis of Breast Cancer Specimens on the Grid
    Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007 (2007), pp. 617-625.
    by Lin Yang, Wenjin Chen, Peter Meer, Gratian Salaru, Michael Feldman, David Foran
    posted to boosting cart cluster gentle_boosting grid isomap soft_margin_svm svm by haiyeong on 2008-02-13 04:33:55 as read
  • Machine learning: a review of classification and combining techniques
    Artificial Intelligence Review, Vol. 26, No. 3. (November 2006), pp. 159-190.
    by S Kotsiantis, I Zaharakis, P Pintelas
    posted to machine_learning pattern_recognition review by haiyeong on 2008-02-06 02:32:20 as read along with 2 people briordan superpyrin
  • Top 10 algorithms in data mining
    Knowledge and Information Systems, Vol. 14, No. 1. (20 January 2008), pp. 1-37.
    by Xindong Wu, Vipin Kumar, Ross, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey Mclachlan, Angus Ng, Bing Liu, Philip Yu, Zhi-Hua Zhou, Michael Steinbach, David Hand, Dan Steinberg
    posted to classifier by haiyeong on 2008-02-01 20:19:59 as read along with 10 people jyuh aviad_work rsantana yuju imrchen EmreSevinc votis dquercia pmendes udamahan
  • Diverse ensembles for active learning
    (2004)
    by Prem Melville, Raymond J Mooney
    posted to decorate ensemble by haiyeong on 2008-02-01 16:06:01 as **
  • Experimental perspectives on learning from imbalanced data
    (2007), pp. 935-942.
    by Jason Van Hulse, Taghi M Khoshgoftaar, Amri Napolitano
    posted to imbalanced_data weka by haiyeong on 2008-02-01 15:48:15 as read
  • A practical automated polyp detection scheme for CT colonography
    Vol. 5372 (2004)
    by Hong Li, Pete Santago
    posted to colonoscopy ct by haiyeong on 2008-01-28 16:49:23 as read
  • Ideal observer approximation using Bayesian classification neural networks
    Medical Imaging, IEEE Transactions on, Vol. 20, No. 9. (2001), pp. 886-899.
    by MA Kupinski, DC Edwards, ML Giger, CE Metz
    posted to ann classification network neural by haiyeong on 2008-01-24 23:13:14 as **
  • Three-dimensional computer-aided diagnosis scheme for detection of colonic polyps
    Medical Imaging, IEEE Transactions on, Vol. 20, No. 12. (2001), pp. 1261-1274.
    by H Yoshida, J Nappi
    posted to colonoscopy ct by haiyeong on 2008-01-24 22:13:45 as read
  • Computer-aided diagnosis scheme for detection of polyps at CT colonography.
    Radiographics, Vol. 22, No. 4. (g 2002), pp. 963-979.
    by H Yoshida, J Näppi, P MacEneaney, DT Rubin, AH Dachman
    posted to colonoscopy ct by haiyeong on 2008-01-23 16:53:56 as read
  • Imaging of the colon: State of the Art: Conventional studies, new techniques, issues and controversies
    European Journal of Radiology, Vol. 61, No. 3. (March 2007), pp. 375-377.
    by Stefania Romano, Thomas Mang
    posted to colonoscopy ct by haiyeong on 2008-01-22 22:41:42 as **
  • Feature selection for computer-aided polyp detection using genetic algorithms
    Vol. 5031 (2003)
    by MT Miller, AK Jerebko, JD Malley, RM Summers
    posted to colonoscopy ct by haiyeong on 2008-01-22 22:41:16 as **
  • A Pipeline for Computer Aided Polyp Detection
    Transactions on Visualization and Computer Graphics, Vol. 12, No. 5. (2006), pp. 861-868.
    by Wei Hong, Feng Qiu, A Kaufman
    posted to biopsy colonoscopy ct electronic by haiyeong on 2008-01-22 22:34:39 as read
  • Massive-training artificial neural network (MTANN) for reduction of false positives in computer-aided detection of polyps: Suppression of rectal tubes.
    Med Phys, Vol. 33, No. 10. (October 2006), pp. 3814-3824.
    by K Suzuki, H Yoshida, J Näppi, AH Dachman
    posted to colonoscopy ct by haiyeong on 2008-01-22 22:27:37 as read
  • Large-scale validation of a computer-aided polyp detection algorithm for CT colonography using cluster computing
    Proceedings of SPIE - The International Society for Optical Engineering, Vol. 5369 (2004)
    by I Bitter, JE Brown, D Brickman, RM Summers
    posted to colonoscopy ct by haiyeong on 2008-01-22 22:25:33 as read
  • Computerized detection of colonic polyps at CT colonography on the basis of volumetric features: pilot study.
    Radiology, Vol. 222, No. 2. (February 2002), pp. 327-336.
    by H Yoshida, Y Masutani, P MacEneaney, DT Rubin, AH Dachman
    posted to colonoscopy ct by haiyeong on 2008-01-22 22:19:01 as read
  • Edge displacement field-based classification for improved detection of polyps in CT colonography
    Medical Imaging, IEEE Transactions on, Vol. 21, No. 12. (2002), pp. 1461-1467.
    by B Acar, CF Beaulieu, SB Gokturk, C Tomasi, DS Paik, B Jeffrey, J Yee, S Napel
    posted to colonoscopy ct by haiyeong on 2008-01-22 22:17:21 as read
  • Multi network classification scheme for detection of colonic polyps in CT colonography data sets
    Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on (2002), pp. 197-200.
    by AK Jerebko, JD Malley, M Franaszek, RM Summers
    posted to colonoscopy ct by haiyeong on 2008-01-22 22:13:00 as read
  • Ranking of polyp candidates for CAD in CT colonography
    Vol. 5746 (2005)
    by J Nappi, H Yoshida
    posted to colonoscopy ct by haiyeong on 2008-01-22 22:11:36 as read
  • Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment
    Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on, Vol. 2 (2006), pp. 1544-1551.
    by Zhuowen Tu, XS Zhou, L Bogoni, A Barbu, D Comaniciu
    posted to adaboost colonoscopy ct haar pbt by haiyeong on 2008-01-22 22:09:23 as read
  • Fully Automated Three-Dimensional Detection of Polyps in Fecal-Tagging CT Colonography.
    Acad Radiol, Vol. 14, No. 3. (March 2007), pp. 287-300.
    by J Näppi, H Yoshida
    posted to colonoscopy ct by haiyeong on 2008-01-22 22:08:28 as **
  • A statistical 3-D pattern processing method for computer-aided detection of polyps in CT colonography
    Medical Imaging, IEEE Transactions on, Vol. 20, No. 12. (2001), pp. 1251-1260.
    by SB Gokturk, C Tomasi, B Acar, CF Beaulieu, DS Paik, Jeffrey, J Yee, S Napel
    posted to colonoscopy ct svm by haiyeong on 2008-01-22 22:05:43 as read
  • CT Colonography with Computer-aided Detection: Automated Recognition of Ileocecal Valve to Reduce Number of False-Positive Detections
    Radiology, Vol. 233, No. 1. (1 October 2004), pp. 266-272.
    by Ronald M Summers, Jianhua Yao, Daniel C Johnson
    posted to colonoscopy ct by haiyeong on 2008-01-22 22:04:43 as **
  • Computer-aided diagnosis in CT colonography: detection of polyps based on geometric and texture features
    Vol. 4684 (2002)
    by H Yoshida, JJ Naeppi, H Frimmel, AH Dachman
    posted to colonoscopy ct by haiyeong on 2008-01-22 22:00:05 as **
  • CAD in CT colonography without and with oral contrast agents: Progress and challenges
    Computerized Medical Imaging and Graphics, Vol. 31, No. 4-5. ( 2007), pp. 267-284.
    by Hiroyuki Yoshida, Janne Nappi
    posted to colonoscopy ct by haiyeong on 2008-01-22 21:55:20 as **
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