Pattern Classification

Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions

Adomavicius, G., & Tuzhilin, A. (2005) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2005.99 · Cited by 10,310

The humanID gait challenge problem: data sets, performance, and analysis

Sarkar, S., Phillips, P. J., Liu, Z., Vega, I. R., Grother, P., & Bowyer, K. W. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.39 · Cited by 1,133

Predicting the orientation of invisible stimuli from activity in human primary visual cortex

Haynes, J.-D., & Rees, G. (2005) · Nature Neuroscience · doi:10.1038/nn1445 · Cited by 867

Data analysis for electronic nose systems

Scott, S. M., James, D., & Ali, Z. (2006) · Microchimica Acta · doi:10.1007/s00604-006-0623-9 · Cited by 450

Machine Learning Techniques for Cooperative Spectrum Sensing in Cognitive Radio Networks

Thilina, K. M., Choi, K. W., Saquib, N., & Hossain, E. (2013) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2013.131120 · Cited by 432

Hyperspectral Image Classification With Independent Component Discriminant Analysis

Villa, A., Benediktsson, J. A., Chanussot, J., & Jutten, C. (2011) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2011.2153861 · Cited by 425

Kernel-Based Positioning in Wireless Local Area Networks

Kushki, A., Plataniotis, K. N., & Venetsanopoulos, A. N. (2007) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2007.1017 · Cited by 425

Multiple Kernel Fuzzy Clustering

Huang, H.-C., Chuang, Y.-Y., & Chen, C.-S. (2012) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2011.2170175 · Cited by 406

Emotion Assessment From Physiological Signals for Adaptation of Game Difficulty

Chanel, G., Rebetez, C., Bétrancourt, M., & Pun, T. (2011) · IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans · doi:10.1109/tsmca.2011.2116000 · Cited by 398

Event-based analysis of video

Zelnik-Manor, L., & Irani, M. (2005) · Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001 · doi:10.1109/cvpr.2001.990935 · Cited by 391

Static-, Dynamic-, and Mixed-Eccentricity Fault Diagnoses in Permanent-Magnet Synchronous Motors

Ebrahimi, B. M., Faiz, J., & Roshtkhari, M. J. (2009) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2009.2029577 · Cited by 386

Multifeature Prostate Cancer Diagnosis and Gleason Grading of Histological Images

Tabesh, A., Teverovskiy, M., Pang, H.-Y., Kumar, V. P., Verbel, D., Kotsianti, A., & Saidi, O. (2007) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2007.898536 · Cited by 351

A Comparative Study of Local Matching Approach for Face Recognition

Zou, J., Ji, Q., & Nagy, G. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2007.904421 · Cited by 311

A Supervised Feature-Projection-Based Real-Time EMG Pattern Recognition for Multifunction Myoelectric Hand Control

Chu, J.-U., Moon, I., Lee, Y.-J., Kim, S.-K., & Mun, M.-S. (2007) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2007.897262 · Cited by 299

Clustering daily patterns of human activities in the city

Jiang, S., Ferreira, J., & González, M. C. (2012) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-012-0264-z · Cited by 282

Image Similarity Using Mutual Information of Regions

Russakoff, D. B., Tomasi, C., Rohlfing, T., & Maurer, C. R. (2004) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-24672-5_47 · Cited by 286

Incremental nonlinear dimensionality reduction by manifold learning

Law, M. H. C., & Jain, A. K. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.56 · Cited by 284

A New Auditory Multi-Class Brain-Computer Interface Paradigm: Spatial Hearing as an Informative Cue

Schreuder, M., Blankertz, B., & Tangermann, M. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009813 · Cited by 276

Advanced Eccentricity Fault Recognition in Permanent Magnet Synchronous Motors Using Stator Current Signature Analysis

Ebrahimi, B. M., Javan Roshtkhari, M., Faiz, J., & Khatami, S. V. (2014) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2013.2263777 · Cited by 271

Emotion Recognition from Brain Signals Using Hybrid Adaptive Filtering and Higher Order Crossings Analysis

Petrantonakis, P. C., & Hadjileontiadis, L. J. (2010) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2010.7 · Cited by 260

Fast Similarity Search for Learned Metrics

Kulis, B., Jain, P., & Grauman, K. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.151 · Cited by 256

A survey of Clustering Algorithms

Rokach, L. (2009) · Data Mining and Knowledge Discovery Handbook · doi:10.1007/978-0-387-09823-4_14 · Cited by 245

Fast SVM training algorithm with decomposition on very large data sets

Dong, J.-X., Krzyzak, A., & Suen, C. Y. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.77 · Cited by 230

Variational Inference for Infinite Mixtures of Gaussian Processes With Applications to Traffic Flow Prediction

Sun, S., & Xu, X. (2011) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2010.2093575 · Cited by 137

Classification of weather situations on single color images

Roser, M., & Moosmann, F. (2008) · 2008 IEEE Intelligent Vehicles Symposium · doi:10.1109/ivs.2008.4621205 · Cited by 132

Estimation of Respiration Rate from Three-Dimensional Acceleration Data Based on Body Sensor Network

Liu, G.-Z., Guo, Y.-W., Zhu, Q.-S., Huang, B.-Y., & Wang, L. (2011) · Telemedicine and e-Health · doi:10.1089/tmj.2011.0022 · Cited by 107

Parkinson’s Disease Subtypes in the Oxford Parkinson Disease Centre (OPDC) Discovery Cohort

Lawton, M., Baig, F., Rolinski, M., Ruffman, C., Nithi, K., May, M. T., Ben-Shlomo, Y., & Hu, M. T. M. (2015) · Journal of Parkinson’s Disease · doi:10.3233/jpd-140523 · Cited by 100

Preliminary study of tumor heterogeneity in imaging predicts two year survival in pancreatic cancer patients

Chakraborty, J., Langdon-Embry, L., Cunanan, K. M., Escalon, J. G., Allen, P. J., Lowery, M. A., O’Reilly, E. M., Gönen, M., Do, R. G., & Simpson, A. L. (2017) · PLOS ONE · doi:10.1371/journal.pone.0188022 · Cited by 85

On User-Centric Modular QoE Prediction for VoIP Based on Machine-Learning Algorithms

Charonyktakis, P., Plakia, M., Tsamardinos, I., & Papadopouli, M. (2016) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2015.2461216 · Cited by 75

Steel Surface Defect Detection Using Texture Segmentation Based on Multifractal Dimension

Yazdchi, M., Yazdi, M., & Mahyari, A. G. (2009) · 2009 International Conference on Digital Image Processing · doi:10.1109/icdip.2009.68 · Cited by 65

Confident Interpretation of Bayesian Decision Tree Ensembles for Clinical Applications

Schetinin, V., Fieldsend, J. E., Partridge, D., Coats, T. J., Krzanowski, W. J., Everson, R. M., Bailey, T. C., & Hernandez, A. (2007) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2006.880553 · Cited by 64

Dynamic quantum clustering: A method for visual exploration of structures in data

Weinstein, M., & Horn, D. (2009) · Physical Review E · doi:10.1103/physreve.80.066117 · Cited by 51

Predictive classification of Alzheimer’s disease using brain imaging and genetic data

Sheng, J., Xin, Y., Zhang, Q., Wang, L., Yang, Z., & Yin, J. (2022) · Scientific Reports · doi:10.1038/s41598-022-06444-9 · Cited by 50

Rapid image analysis using neural signals

Mathan, S., Erdogmus, D., Huang, Y., Pavel, M., Ververs, P., Carciofini, J., Dorneich, M., & Whitlow, S. (2008) · CHI '08 Extended Abstracts on Human Factors in Computing Systems · doi:10.1145/1358628.1358849 · Cited by 28

Superposition of Transcriptional Behaviors Determines Gene State

Efroni, S., Carmel, L., Schaefer, C. G., & Buetow, K. H. (2008) · PLoS ONE · doi:10.1371/journal.pone.0002901 · Cited by 13