| _ | washington | _ |
| 22nd Aipr Workshop: Interdisciplinary Computer Vision-Applications And Changing Needs ( | washington | , Dc, October 14-16 |
| 23rd Aipr Workshop: Image And Information Systems: Applications And Opportunities ( | washington | , Dc, October 12-14 |
| 25th Annual Aipr Workshop, Emerging Applications Of Computer Vision, | washington | , Dc |
| 26th Aipr Workshop: Exploiting New Image Sources And Sensors, | washington | , Dc |
| 27th Applied Imagery Pattern Recognition Workshop: Advances In Computer Assisted Recognition, | washington | , Dc |
| Aaai '93, Eleventh National Conference On Artificial Intelligence, | washington | , Dc |
| Aipr, 18th Workshop On Applied Imagery Pattern Recognition, | washington | , Dc |
| Applied Imagery Pattern Recognition (21st Aipr Workshop), | washington | , Dc |
| Applied Imagery Pattern Recognition (22nd Aipr Workshop), | washington | , Dc |
| Autonomous Mobile Robots: 1. Perception, Mapping, And Navigation; 2. Planning, Control, And Architecture, Ieee Computer Society Press, | washington | |
| Computation In Neurons And Neural Systems (Collected Papers Of The 1993 Conference On Computation And Neural Systems, | washington | , Dc, July 31-August 7, 1993), Kluwer |
| Computer Graphics Hardware, Ieee Computer Society, | washington | |
| Computer Graphics: Image Synthesis, Ieee Computer Society, | washington | |
| Computer Vision Research At The University Of | washington | |
| Computer Vision, Vol. 1: Principles; Vol. 2: Advances And Applications, Computer Society Press, | washington | |
| Defense And Government Computer Graphics Conference ( | washington | , Dc |
| Defense And Government Computers And Graphics '85 (World Computer Graphics Association; | washington | , Dc |
| Digital Image Processing, Computer Society Press, | washington | |
| Emerging Applications Of Computer Vision ( | washington | , Dc, October 16-18 |
| Fifteenth Workshop On Applied Imagery Pattern Recognition ( | washington | , Dc |
| Fifth U.S. Postal Service Advanced Technology Conference, | washington | , Dc |
| First International Workshop On Principles Of Document Processing, | washington | , Dc |
| Frontiers Of Visual Science: Proceedings Of The 1985 Symposium ( | washington | , Dc, December 11, 1985), Committee On Vision |
| Guest Ed., Special Issue With Papers Presented At The France-United States Seminar [On Applications Of Automatic Testing And Inspection] Held In | washington | , Dc, August 15-19, 1983 |
| Icnn '96, International Conference On Neural Networks, | washington | , Dc |
| Ieee International Joint Symposia On Intelligence And Systems, | washington | , Dc |
| Ijcnn'89, International Joint Conference On Neural Networks, | washington | , Dc |
| Image Understanding Research At University Of | washington | |
| Interdisciplinary Computer Vision: An Exploration Of Diverse Applications (21st Iapr Workshop, | washington | , Dc, October 14-16 |
| Isprs Workshop On Calibration And Orientation Of Cameras In Computer Vision, | washington | , Dc |
| Mfi '96, Ieee/Sice/Rsj International Conference On Multisensor Fusion And Integration For Intelligent Systems, | washington | , Dc |
| Ninth International Conference On Pattern Recognition (Rome, Italy, November 14-17, 1988), Computer Society Press, | washington | |
| Proceedings, 1994 Symposium On Volume Visualization, | washington | , Dc |
| Proceedings, Cvpr '88 (Computer Society Conference On Computer Vision And Pattern Recognition, Ann Arbor, Mi, June 5-9, 1988), Computer Society Press, | washington | |
| Proceedings, International Conference On Image Processing, | washington | , Dc |
| Proceedings, The 2nd Symposium On The Frontiers Of Massively Parallel Computation (Fairfax, Va, October 10-12, 1988), Computer Society Press, | washington | |
| Proceedings, [Arpa] Image Understanding Workshop ( | washington | , Dc, April 18-21, 1993), Morgan Kaufmann, San Mateo |
| Second International Conference On Computer Vision (Tampa,, Fl, December 5-8, 1988), Computer Society Press, | washington | |
| Seventeenth Workshop On Applied Imagery Pattern Recognition (Spie), | washington | , Dc |
| Sixteenth Workshop On Applied Imagery Pattern Recognition, | washington | , Dc |
| Sixth Acm Symposium On Geographic Information Systems, | washington | , Dc |
| Symposium On Frontiers Of Visual Science, National Research Council, | washington | , Dc |
| Tools And Techniques For Modeling And Simulation (24th Aipr Workshop), | washington | , Dc |
| United States Postal Service Advanced Technology Conference ( | washington | , Dc |
| United States Postal Service Advanced Technology Conference, | washington | , Dc |
| Video Photogrammetry And Exploitation Conference, | washington | , Dc |
| Volume Visualization, Computer Society Press, | washington | |
| washington | , Dc |
| World Congress On Neural Networks, | washington | , Dc |
49 for washington
| _ | wavelet | _ |
| Adapted | wavelet | Analysis--From Theory To Software, A.K. Peters, Wellesley |
| Analysis Of Detailed Patterns Of Contour Shapes Using | wavelet | Local Extrema |
| Application Of | wavelet | -Based Affine-Invariant Representation, An |
| Automatic Face Recognition Via | wavelet | s And Mathematical Morphology |
| Automatic Threshold Selection Using The | wavelet | Transform |
| Characterization And Detection Of Edges By Lipschitz Exponents And Masw | wavelet | Transform |
| Compact Multiresolution Representation: The | wavelet | Model, A |
| Comparative Study Of Different Spatial/Spatial-Frequency Methods (Gabor Filters, | wavelet | s, Wavelet(S) Packet |
| Comparative Study Of Different Spatial/Spatial-Frequency Methods (Gabor Filters, | wavelet | s, Wavelet(S) Packet |
| Comparison Of Texture Feature Extraction Using Adaptive Gabor Filtering Pyramidal And Tree Structured | wavelet | Transforms, A |
| Comparison Of | wavelet | Transform Features For Texture Image Annotation, A |
| Complex Daubechies | wavelet | Based Affine Invariant Representation For Object Recognition |
| Construction And Properties Of B-Spline | wavelet | Filters For Multiscale Edge Detection |
| Discrete | wavelet | Analysis: A New Framework For Fast Optic Flow Computation |
| Edge Detection And Classification Using Mallat'S | wavelet | |
| Efficient And Effective Texture Classification Approach Using A New Notion In | wavelet | Theory, An |
| Experiment On Texture Segmentation Using Modulated | wavelet | s, An |
| Face Location In | wavelet | -Based Video Compression For High Perceptual Quality Videoconferencing |
| Fast Surface Interpolation Using Multiresolution | wavelet | Transform |
| Fast | wavelet | -Based Multiresolution Image Registration On A Multiprocessing Digital Signal Processor |
| Filtering Image Records Using | wavelet | s And The Zakai Equation |
| Foveate | wavelet | Transform For Camera Motion Recovery From Videos |
| Fractal Functions, Fractal Surfaces, And | wavelet | s, Academic Press, Orlando |
| Friendly Guide To | wavelet | s, Birkhauser, Boston, A |
| Gabor | wavelet | Representation For 3d Object Recognition |
| Gabor | wavelet | s For 3-D Object Recognition |
| Gaussian Pyramid | wavelet | Transform For Multiresolution Analysis Of Images |
| Gmrf Models And | wavelet | Decomposition For Texture Segmentation |
| Guest Ed., Special Issue: | wavelet | s And Their Applications, Ijist 7(3) |
| Guest Ed., Special Issue: | wavelet | Theory And Application |
| Guest Eds., Special Issue On | wavelet | Transformations And Multiresolution Signal Analysis |
| Guest Eds., Special Issue On | wavelet | s |
| Image Analysis Using Space-Filling Curves And 1d | wavelet | Bases |
| Image Expansion By | wavelet | s For Optimal Template Matching |
| Image Fusion Using Steerable Dyadic | wavelet | Transform |
| Image Representation Using Vector | wavelet | s |
| Image Sequence Fusion Using A Shift-Invariant | wavelet | Transform |
| Images, | wavelet | s, And Pde'S, Paris, France |
| International Conference On Curves And Surfaces, Chamonix, France, June 10-16, 1993. [P.J. Laurent, A. Le Mehaute', And L.L. Schumaker, Eds., | wavelet | s, Images And Surface Filtering And Curves And Surfaces In Geometric Design, A.K. Peters, Wellesley |
| Interpolation Using | wavelet | Bases |
| Introduction To | wavelet | s, Academic Press |
| Learning Two-Dimensional Shapes Using | wavelet | Local Extrema |
| Localization Of Objects With Circular Symmetry In A Noisy Image Using | wavelet | Transforms And Adapted Correlation |
| Mathematical Imaging: | wavelet | Applications In Signal And Image Processing (San Diego, Ca, July 15-16 |
| Mathematical Imaging: | wavelet | Applications In Signal And Image Processing (San Diego, Ca, July 27-29 |
| Maximum Likelihood Approach To Texture Classification Using | wavelet | Transform, A |
| Multi-Sensor Image Fusion Using The | wavelet | Transform |
| Multiband And Multiscale Edge Detection Via M-Band | wavelet | Transform |
| Multifrequency Channel Decompositions Of Images And | wavelet | Models |
| Multiresolution Stereo Image Matching Using Complex | wavelet | s |
| Multiscale Corner Detection By Using | wavelet | Transform |
| Multiscale Geometrical Feature Extraction And Object Recognition With | wavelet | s And Morphology |
| Multiscale Image Texture Analysis In | wavelet | Spaces |
| Multiscale Shape Analysis Using The Continuous | wavelet | Transform |
| Multisensor Image Fusion Using A Region-Based | wavelet | Transform Approach |
| Multisensor Image Fusion Using The | wavelet | Transform |
| New | wavelet | -Based Edge Detector Via Constrained Optimization, A |
| On Stationarizability For Nonstationary 2-D Random Fields Using Discrete | wavelet | Transforms |
| On The Selection Of An Optimal | wavelet | Basis For Texture Characterization |
| Optic Flow Estimation From 3d | wavelet | Edge Detection |
| Optical Flow Estimation Using | wavelet | Motion Model |
| Parallel Computation Of 2-D | wavelet | Transforms |
| Pattern Clustering Based On Noise Modeling In | wavelet | Space |
| Pedestrian Detection Using | wavelet | Templates |
| Performance Study Of Two | wavelet | -Based Edge Detectors, A |
| Progressive Image Indexing And Retrieval Based On Embedded | wavelet | Coding |
| Recent Advances In | wavelet | Analysis, Academic Press, San Diego |
| Recognition Of 2d Object Contours Using Starting-Point-Independent | wavelet | Coefficient Matching |
| Recognition Of 2d Object Contours Using The | wavelet | Transform Zero-Crossing Representation |
| Recursive | wavelet | Transform For 2d Signals |
| Robust Automatic Clustering Scheme For Image Segmentation Using | wavelet | s, A |
| Rotation And Gray Scale Transform Invariant Texture Identification Using | wavelet | Decomposition And Hidden Markov Model |
| Rotation-Invariant Texture Characterization Using Isotropic | wavelet | Frames |
| Rotational | wavelet | Transforms For Motion Analysis, Estimation And Tracking |
| Segmentation Of 3-D Textured Images Using Continuous | wavelet | Transform |
| Segmentation Of Object Surfaces Using The Haar | wavelet | At Multiple Resolutions |
| Shape From Texture Based On The Ridge Of Continuous | wavelet | Transform |
| Shape From Texture: Estimation Of Planar Surface Orientation Through The Ridge Surfaces Of [The] Continuous | wavelet | Transform |
| Shape-From Texture By | wavelet | -Based Measurement Of Local Spectral Moments |
| Shivering Greedy Snakes, Gradient-Guided In | wavelet | Domain |
| Space Curve Recognition Based On The | wavelet | Transform And String-Matching Techniques |
| Spatio-Temporal Continuous | wavelet | Transforms For Motion-Based Segmentation In Real Image Sequences |
| Specification Of A | wavelet | For Multiscale Analysis Of Discrete Boundary |
| Steerable Filters For Early Vision, Image Analysis, And | wavelet | Decomposition |
| Stereo Matching Algorithm Based On Modified | wavelet | Decomposition Process |
| Surface Interpolation Using | wavelet | s |
| Symmetric | wavelet | Edge Detector Of The Minimum Length |
| Texture Analysis And Classification With The Nonseparable | wavelet | Transform |
| Texture Analysis And Classification With Tree-Structured | wavelet | Transform |
| Texture Analysis Using A Generalised | wavelet | Transform |
| Texture Characterization Via Joint Statistics Of | wavelet | Coefficient Magnitudes |
| Texture Classification And Segmentation Using | wavelet | Frames |
| Texture Classification By | wavelet | Packet Signatures |
| Texture Classification Using Neural Networks And Discrete | wavelet | Transform |
| Texture Classification Using Non-Separable Two-Dimensional | wavelet | s |
| Texture Classification Using | wavelet | Decomposition With Markov Random Field Models |
| Texture Classification With Tree-Structured | wavelet | Transform |
| Texture Discrimination Using | wavelet | s |
| Texture Image Retrieval By Universal Classification For | wavelet | Transform Coefficients |
| Texture Segmentation Using Hierarchical | wavelet | Decomposition |
| Texture Segmentation Using Local Energy In | wavelet | Scale Space |
| Texture Segmentation Using Shan[N]On | wavelet | |
| Texture Synthesis Via Matching First And Second Order Statistics Of A | wavelet | Frame Decomposition |
| Theory For Multiresolution Signal Decomposition: The | wavelet | Representation, A |
| Three-Dimensional Object Recognition Using Vector | wavelet | s |
| Unsupervised Multiresolution Texture Segmentation Using | wavelet | Decomposition |
| Unsupervised Texture Segmentation Via | wavelet | Transform |
| Using A | wavelet | -Based Fractal Feature To Improve Texture Discrimination On Sar Images |
| Video Indexing In The | wavelet | Compressed Domain |
| wavelet | Analysis With Applications To Image Processing, Crc Press, Boca Raton |
| wavelet | Applications (Orlando, Fl, April 5-8 |
| wavelet | Applications For Dual Use (Orlando, Fl, April 17-21 |
| wavelet | Applications Iii (Orlando, Fl, April 8-12 |
| wavelet | Applications In Signal And Image Processing Iii (San Diego, Ca, July 12-14 |
| wavelet | Applications In Signal And Image Processing Iv (Denver, Co, August 6-9 |
| wavelet | Applications In Signal And Image Processing V San Diego, Ca, July 30-August 1 |
| wavelet | Applications In Signal And Image Processing Vi (San Diego, Ca, July 22-23 |
| wavelet | Applications Iv Orlando, Fl, April 22-24 |
| wavelet | Applications V (Orlando, Fl, April 14-16 |
| wavelet | Based Automatic Thresholding For Image Segmentation |
| wavelet | Based Corner Detection |
| wavelet | Based Texture Segmentation Of Multi-Modal Tomographic Images |
| wavelet | Decomposition Based Representation Of Nonlinear Color Transformations And Comparison With Sequential Linear Interpolation |
| wavelet | Description Of Planar Curves: Theory And Applications |
| wavelet | Features For Statistical Object Localization Without Segmentation |
| wavelet | Methods For Texture Defect Detection |
| wavelet | Multiresolution Representation Of Curves And Surfaces |
| wavelet | Radiosity |
| wavelet | Representation For Multigrid Computation In Surface Interpolation Problem |
| wavelet | Representation Of Reflectance Functions, A |
| wavelet | Transform Methods For Object Detection And Recovery |
| wavelet | Transform Of Sar Images Forinternal Waves Detection And Orientation |
| wavelet | Transform, Time-Frequency Localization And Signal Analysis, The |
| wavelet | Transform-A Cmos Vlsi Asic Implementation, The |
| wavelet | Transformation For Gray-Level Corner Detection |
| wavelet | -Based Affine Invariant Representation: A Tool For Recognizing Planar Objects In 3d Space |
| wavelet | -Based Multiresolution Edge Detection Utilizing Gray Level Edge Maps |
| wavelet | -Based Multiresolution Method To Automatically Register Images, A |
| wavelet | -Based Multiresolution Statistical Model For Texture, A |
| wavelet | -Based Multiresolution Stochastic Image Models |
| wavelet | -Based Shape From Shading |
| wavelet | -Based Shape From Shading |
| wavelet | -Based Solution To Anisotropic Diffusion Equation For Edge Detection |
| wavelet | -Based Target Hashing For Automatic Target Recognition |
| wavelet | -Domain Texture Modeling For Image Compression |
| wavelet | s And Image Fusion |
| wavelet | s And Other Orthogonal Systems With Applications, Crc Press, Boca Raton |
| wavelet | s And Subband Coding, Prentice-Hall, Englewood Cliffs |
| wavelet | s And Their Applications, Jones & Bartlett |
| wavelet | s For A Vision |
| wavelet | s In Medicine And Biology, Crc Press, Boca Raton |
| wavelet | s--Mathematics And Applications, Crc Press, Boca Raton |
| wavelet | s-A Tutorial In Theory And Applications, Academic Press |
| wavelet | s-Theory, Algorithms, And Applications, Academic Press |
| Wavetool: An Integrated Software For | wavelet | And Multirate Signal Processing |
| Zero Crossings Of A Non-Orthogonal | wavelet | Transform For Object Location |
| Zero-Crossings Of A | wavelet | Transform |
157 for wavelet
| _ | way | _ |
| Camera Calibration: A Quick And Easy | way | To Determine The Scale Factor |
| Cooperating Systems Of Three- | way | Two-Dimensional Finite Automata |
| Deterministic Two-Dimensional On-Line Tessellation Acceptors Are Equivalent To Two- | way | Two-Dimensional Alternating Finite Automata Through 180 Degree Rotation |
| Different States Of A Document'S Content On Its | way | From The Gutenbergian World To The Electronic World |
| Distance Measure Based On Tree-Graph-Grammars: A | way | Of Recognizing Hidden And Deformed 3d Complex Objects, A |
| Edge Enhancement Of Infrared Imagery By | way | Of The Anisotropic Diffusion Pyramid |
| Freedom Descriptions: A | way | To Find Figures That Approximate Given Points |
| Hierarchical Representations Of 2d/3d Gray Scale Images And Their 2d/3d Two- | way | Conversion |
| How Many | way | s Can You Draw A Circle? |
| New | way | Of Image Data Fusion: The Multi-Spectral Cooperative Segmentation, A |
| Note On Three- | way | Two-Dimensional Alternating Turing Machines, A |
| On One- | way | Cellular Arrays |
| On The Power Of One- | way | Communication |
| On The Power Of One- | way | Communication |
| On Three- | way | Two-Dimensional Multicounter Automata |
| On Three- | way | Two-Dimensional Turing Machines |
| Optimal Simulation Of Two-Dimensional Alternating Finite Automata By Three- | way | Nondeterministic Turing Machines |
| Quick-Look: A New | way | To Prioritize Imagery For Exploitation |
| Recognizing Majority On A One- | way | Mesh |
| River Routing Every Which | way | , But Loose |
| Segment(S) Matching: Comparison Between A Neural Approach And A Classical Optimization | way | |
| Simulation Of Two-Dimensional One-Marker Automata By Three- | way | Turing Machines, The |
| String-Matching Cannot Be Done By A Two-Head One- | way | Deterministic Finite Automaton |
| Sure-Fired | way | To Choose Smoothing Parameters In Ill-Conditioned Inverse Problems, A |
| Systematic | way | For Region-Based Image Segmentation Based On Markov Random Field Model, A |
| Three- | way | Automata On Rectangular Tapes Over A One-Letter Alphabet |
| Three- | way | Two-Dimensional Finite Automata With Rotated Inputs |
| Two-Dimensional Three- | way | Array Grammars And Their Acceptors |
| Two- | way | String-Matching |
| way | Computer Graphics Works, Wiley, The |
| way | s Of Coloring: Comparative Color Vision As A Case Study For Cognitive Science |
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