# | Title | Journal | Year | Citations |
---|
1 | An introduction to ROC analysis | Pattern Recognition Letters | 2006 | 14,987 |
2 | Data clustering: 50 years beyond K-means | Pattern Recognition Letters | 2010 | 6,687 |
3 | Floating search methods in feature selection | Pattern Recognition Letters | 1994 | 2,616 |
4 | Variable selection using random forests | Pattern Recognition Letters | 2010 | 1,727 |
5 | Random Forests for land cover classification | Pattern Recognition Letters | 2006 | 1,610 |
6 | Support vector domain description | Pattern Recognition Letters | 1999 | 1,343 |
7 | Efficient adaptive density estimation per image pixel for the task of background subtraction | Pattern Recognition Letters | 2006 | 1,323 |
8 | Information fusion in biometrics | Pattern Recognition Letters | 2003 | 1,291 |
9 | Deep learning for sensor-based activity recognition: A survey | Pattern Recognition Letters | 2019 | 1,227 |
10 | Semantic object classes in video: A high-definition ground truth database | Pattern Recognition Letters | 2009 | 929 |
11 | A steganographic method for images by pixel-value differencing | Pattern Recognition Letters | 2003 | 906 |
12 | A review of unsupervised feature learning and deep learning for time-series modeling | Pattern Recognition Letters | 2014 | 901 |
13 | A new curve detection method: Randomized Hough transform (RHT) | Pattern Recognition Letters | 1990 | 897 |
14 | Rough set methods in feature selection and recognition | Pattern Recognition Letters | 2003 | 755 |
15 | New similarity measures of intuitionistic fuzzy sets and application to pattern recognitions | Pattern Recognition Letters | 2002 | 734 |
16 | 2D and 3D face recognition: A survey | Pattern Recognition Letters | 2007 | 726 |
17 | Feature selection based on rough sets and particle swarm optimization | Pattern Recognition Letters | 2007 | 721 |
18 | A note on genetic algorithms for large-scale feature selection | Pattern Recognition Letters | 1989 | 717 |
19 | Discovering cluster-based local outliers | Pattern Recognition Letters | 2003 | 689 |
20 | An empirical comparison of four initialization methods for the K-Means algorithm | Pattern Recognition Letters | 1999 | 687 |
21 | Characterization and detection of noise in clustering | Pattern Recognition Letters | 1991 | 671 |
22 | CrackTree: Automatic crack detection from pavement images | Pattern Recognition Letters | 2012 | 657 |
23 | An experimental comparison of performance measures for classification | Pattern Recognition Letters | 2009 | 644 |
24 | Intuitionistic fuzzy information – Applications to pattern recognition | Pattern Recognition Letters | 2007 | 640 |
25 | 2D-LDA: A statistical linear discriminant analysis for image matrix | Pattern Recognition Letters | 2005 | 599 |
26 | A graph distance metric based on the maximal common subgraph | Pattern Recognition Letters | 1998 | 587 |
27 | Detail-preserving median based filters in image processing | Pattern Recognition Letters | 1994 | 585 |
28 | Image fusion by a ratio of low-pass pyramid | Pattern Recognition Letters | 1989 | 582 |
29 | Intelligent multi-camera video surveillance: A review | Pattern Recognition Letters | 2013 | 565 |
30 | Feature detection from local energy | Pattern Recognition Letters | 1987 | 562 |
31 | Gray-level corner detection | Pattern Recognition Letters | 1982 | 545 |
32 | Cluster center initialization algorithm for K-means clustering | Pattern Recognition Letters | 2004 | 535 |
33 | A novel deep learning based framework for the detection and classification of breast cancer using transfer learning | Pattern Recognition Letters | 2019 | 516 |
34 | VSUMM: A mechanism designed to produce static video summaries and a novel evaluation method | Pattern Recognition Letters | 2011 | 510 |
35 | The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition | Pattern Recognition Letters | 2013 | 508 |
36 | Similarity measures of intuitionistic fuzzy sets based on Hausdorff distance | Pattern Recognition Letters | 2004 | 499 |
37 | Face recognition using Histograms of Oriented Gradients | Pattern Recognition Letters | 2011 | 496 |
38 | Computer vision based method for real-time fire and flame detection | Pattern Recognition Letters | 2006 | 489 |
39 | Evaluation of focus measures in multi-focus image fusion | Pattern Recognition Letters | 2007 | 482 |
40 | COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images | Pattern Recognition Letters | 2020 | 460 |
41 | 50 years of biometric research: Accomplishments, challenges, and opportunities | Pattern Recognition Letters | 2016 | 452 |
42 | Automatic thresholding for defect detection | Pattern Recognition Letters | 2006 | 449 |
43 | Human activity recognition from 3D data: A review | Pattern Recognition Letters | 2014 | 446 |
44 | An iterative algorithm for minimum cross entropy thresholding | Pattern Recognition Letters | 1998 | 441 |
45 | Image thresholding using Tsallis entropy | Pattern Recognition Letters | 2004 | 436 |
46 | Recursive sub-image histogram equalization applied to gray scale images | Pattern Recognition Letters | 2007 | 435 |
47 | Performance evaluation in content-based image retrieval: overview and proposals | Pattern Recognition Letters | 2001 | 431 |
48 | Similarity measures on intuitionistic fuzzy sets | Pattern Recognition Letters | 2003 | 431 |
49 | On a relation between graph edit distance and maximum common subgraph | Pattern Recognition Letters | 1997 | 430 |
50 | Palmprint recognition using eigenpalms features | Pattern Recognition Letters | 2003 | 430 |