Top publications in machine learning & pattern recognition 501–600 of 146,552 results
Publications Citations  
501
Spiking Neuron Models (2002) 514
502
An improved training algorithm for support vector machines (1997) 512
503
Probabilistic Principal Component Analysis (1999) 511
504
A Stereo Matching Algorithm with an Adaptive Window: Theory and Experiment (1994) 510
505
Kernel Independent Component Analysis (2002) 507
506
Kernel Methods for Pattern Analysis (2003) 507
507
Learning the Kernel Matrix with Semidefinite Programming (2004) 506
508
Learning and Revising User Profiles: The Identification of Interesting Web Sites (1997) 505
509
Fitting Parameterized Three-Dimensional Models to Images (1991) 502
510
Markov Random Field Modeling in Image Analysis (2001) 502
511
A View of the EM Algorithm that Justifies Incremental, Sparse, and Other Variants (1999) 501
512
Making Large-Scale Support Vector Machine Learning Practical (1998) 498
513
Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks (1990) 498
514
Regularization Networks and Support Vector Machines (2000) 497
515
Stereo by Intra- and Inter-Scanline Search Using Dynamic Programming (1985) 496
516
Robust Classification for Imprecise Environments (2001) 496
517
Recognizing Action Units for Facial Expression Analysis (2001) 496
518
Methods of information geometry (2000) 496
519
Learning information extraction rules for semi-structured and free text (1999) 494
520
XM2VTSDB: The Extended M2VTS Database (1999) 494
521
On the Foundations of Relaxation Labeling Processes (1983) 493
522
Nonlinear Principal Component Analysis Using Autoassociative Neural Networks (1991) 493
523
In Defense of the Eight-Point Algorithm (1997) 490
524
Solving the Multiple Instance Problem with Axis-Parallel Rectangles (1997) 489
525
Two-dimensional spectral analysis of cortical receptive field profiles (1980) 488
526
Modeling Visual Attention via Selective Tuning (1995) 488
527
Parameterisation of a stochastic model for human face identification (1994) 487
528
Fisher discriminant analysis with kernels (1999) 487
529
Input space versus feature space in kernel-based methods (1999) 486
530
Bagging, Boosting, and C4.5 (1996) 485
531
Hierarchical Chamfer Matching: A Parametric Edge Matching Algorithm (1988) 485
532
Real-time Computing without stable states: A New Framework for Neural Computation Based on Perturbations (2002) 485
533
Approximation capabilities of multilayer feedforward networks (1991) 484
534
Nonnegative matrix factorization with sparseness constraints (2004) 484
535
Learning Decision Lists (1987) 483
536
Restart procedures for the conjugate gradient method (1977) 483
537
Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues (2004) 483
538
Loopy Belief Propagation for Approximate Inference: An EmpiricalStudy (1999) 482
539
Radial basis functions for multivariable interpolation: a review (1987) 481
540
Support vector machines for spam categorization (1999) 481
541
A Theory of Multiscale, Curvature-Based Shape Representation for Planar Curves (1992) 477
542
Factorial Hidden Markov Models (1995) 476
543
Picture Thresholding Using an Iterative Selection Method (1978) 476
544
Learning the Kernel Matrix with Semi-Definite Programming (2002) 473
545
RCV1: A New Benchmark Collection for Text Categorization Research (2004) 473
546
An Experimental Comparison of Range Image Segmentation Algorithms (1996) 472
547
Neural Network Toolbox User''s Guide (2000) 472
548
Finite Element Methods for Active Contour Models and Balloons for 2D and 3D Images (1991) 471
549
Algorithms for image processing and computer vision (1997) 471
550
Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach (2003) 471
551
Morphological segmentation (1990) 470
552
Graph-Theoretical Methods for Detecting and Describing Gestalt Clusters (1971) 469
553
Improvements to Platt's SMO Algorithm for SVM Classifier Design (2001) 469
554
Exploiting Generative Models in Discriminative Classifiers (1998) 469
555
Text Classification using String Kernels (2002) 469
556
Subspace Methods of Pattern Recognition (1983) 468
557
Learning and tuning fuzzy logic controllers through reinforcements (1992) 468
558
Improving generalization with active learning (1994) 468
559
Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects (2000) 467
560
Limits on Super-Resolution and How to Break Them (2002) 466
561
Face Detection: A Survey (2001) 465
562
Making large-scale support vector machine learning practical (1999) 464
563
Multitask Learning (1997) 464
564
A Graduated Assignment Algorithm for Graph Matching (1996) 462
565
SPADE: An Efficient Algorithm for Mining Frequent Sequences (2001) 462
566
Seeking meaning: a process approach to library and information services (2004) 461
567
A survey of shape analysis techniques (1998) 461
568
Popular ensemble methods: An empirical study (1999) 461
569
The Meme Machine (1999) 461
570
Principles of neurodynamics: perceptrons and the theory of brain mechanisms (1962) 460
571
A scaled conjugate gradient algorithm for fast supervised learning (1993) 460
572
Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition (2002) 460
573
Image retrieval using color and shape (1996) 458
574
Action Synopsis: Pose Selection and Illustration (2005) 458
575
Using Canny's criteria to derive a recursively implemented optimal edge detector (1987) 457
576
Modeling and Segmentation of Noisy and Textured Images Using Gibbs Random Fields (1987) 456
577
Euclidean distance mapping (1980) 454
578
Coupled hidden Markov models for complex action recognition (1997) 454
579
Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources (1999) 454
580
Splines models for observational data 454
581
Self organization of a massive document collection (2000) 454
582
Learning Overcomplete Representations (2000) 454
583
Color image segmentation: advances and prospects (2001) 453
584
Estimating Attributes: Analysis and Extensions of RELIEF (1994) 452
585
Information fusion in biometrics (2003) 451
586
The `independent components''of natural scenes are edge filters (2001) 450
587
Digital Image Processing Using MATLAB (2003) 450
588
The Boosting Approach to Machine Learning An Overview (2002) 449
589
Analysis of hidden units in a layered network trained to classify sonar targets (1988) 448
590
A survey on image segmentation (1981) 448
591
An Evolutionary Algorithm that Constructs Recurrent Neural Networks (1993) 448
592
Pattern recognition computation using action potential timing for stimulus representation (1995) 448
593
Texture Classification by Wavelet Packet Signatures (1993) 446
594
Neural networks for nonlinear programming (1988) 446
595
Attractor dynamics and parallelism in a connectionist sequential machine (1986) 444
596
ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network (1991) 444
597
The myth of the paperless office (2002) 444
598
Decision Theoretic Generalizations of the PAC Model for Neural Net and Other Learning Applications (1992) 443
599
Use of the Hough Transform to Detect Lines and Curves in Pictures (1975) 443
600
An Algorithm that Learns What's in a Name (1999) 443