Spena, M.T.
* 2019: Virtual Batcave: A Project for the Safeguard of A UNESCO WHL Fragile Ecosystem, The
Spence, A.[Andrew]
* 2019: Three-dimensional-based landmark tracker employing a superpixels method for neuroscience, biomechanics, and biology studies
Spence, A.D.
* 2006: Optimal illumination for three-image photometric stereo using sensitivity analysis
Spence, A.M.
* 2010: Kinetic Quantitation of Cerebral PET-FDG Studies Without Concurrent Blood Sampling: Statistical Recovery of the Arterial Input Function
Spence, C.
* 1996: Learning Hierarchical Representations of Objects
* 1996: Supervised Learning of Detection and Classification Tasks with Uncertain Training Data
* 2007: Iterative Method for Vector Median Filtering, An
* 2013: Efficient Multimodal Cuing of Spatial Attention
* 2014: To What Extent do the Findings of Laboratory-Based Spatial Attention Research Apply to the Real-World Setting of Driving?
Includes: Spence, C. Spence, C.[Clay]
Spence, C.D.[Clay D.]
* 1994: Neural Network/Pyramid Architectures That Learn Target Context
* 1995: hierarchical neural network architecture that learns target context: applications to digital mammography, A
* 1995: Integrating Neural Networks with Image Pyramids to Learn Target Context
* 1996: Learning Image Context for Improved Computer-Aided Diagnosis
* 2000: Hierarchical Image Probability (HIP) Models
* 2000: Method and apparatus for training a neural network to learn hierarchical representations of objects and to detect and classify objects with uncertain training data
* 2001: Detection, Synthesis and Compression in Mammographic Image Analysis with a Hierarchical Image Probability Model
* 2001: Method and apparatus for training a neural network to detect objects in an image
* 2002: Learning contextual relationships in mammograms using a hierarchical pyramid neural network
* 2004: Method and apparatus for image processing by generating probability distribution of images
* 2006: Identification of Highly Similar 3D Objects Using Model Saliency
* 2006: Varying Complexity in Tree-Structured Image Distribution Models
Includes: Spence, C.D.[Clay D.] Spence, C.D. Spence, C.D.[Clay Douglas]
12 for Spence, C.D.
Spence, I.[Ivor]
* 2022: Incremental Density-Based Clustering on Multicore Processors
Spence, J.D.
* 2008: Twisting and Bending Model-Based Nonrigid Image Registration Technique for 3-D Ultrasound Carotid Images, A
* 2020: Voxel-Based Fully Convolution Network and Continuous Max-Flow for Carotid Vessel-Wall-Volume Segmentation From 3D Ultrasound Images, A
Spence, J.P.[John P.]
* 1994: Technique for use in conjunction with an imaging system for providing an appearance match between two images and for calibrating the system thereto
Spence, L.B.
* 2013: Human-Automation Collaboration in Occluded Trajectory Smoothing
Spence, R.
* 1995: Integrated Architecture for Robot Motion Planning and Control in the Presence of Obstacles with Unknown Trajectories, An
Spencer, C.A.[Cara A.]
* 2022: Estimating Cognitive Load and Cybersickness of Pilots in VR Simulations via Unobtrusive Physiological Sensors
Spencer, D.D.[Dennis D.]
* 2007: Nonrigid Intraoperative Cortical Surface Tracking Using Game Theory
* 2010: Image-Guided Intraoperative Cortical Deformation Recovery Using Game Theory: Application to Neocortical Epilepsy Surgery
* 2012: Volumetric Intraoperative Brain Deformation Compensation: Model Development and Phantom Validation
Spencer, J.[Jaime]
* 2018: Localisation via Deep Imagination: Learn the Features Not the Map
* 2019: Chan-Vese Reformulation for Selective Image Segmentation
* 2019: Parameter-Free Selective Segmentation With Convex Variational Methods
* 2019: Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation
* 2020: DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning
* 2020: Same Features, Different Day: Weakly Supervised Feature Learning for Seasonal Invariance
* 2021: Generalized Asymmetric Dual-Front Model for Active Contours and Image Segmentation, A
* 2021: Triton: Topography and Geology of a Probable Ocean World with Comparison to Pluto and Charon
* 2022: Medusa: Universal Feature Learning via Attentional Multitasking
* 2023: Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV
* 2023: Monocular Depth Estimation Challenge, The
* 2023: Second Monocular Depth Estimation Challenge, The
Includes: Spencer, J.[Jaime] Spencer, J.[Jack] Spencer, J. Spencer, J.[John]
12 for Spencer, J.
Spencer, J.R.
* 2016: Geological Mapping Of Pluto And Charon Using New Horizons Data
* 2016: Topographic Mapping Of Pluto And Charon Using New Horizons Data
Spencer, J.W.[Joseph W.]
* 2015: Invariant chromatic descriptor for LADAR data processing
* 2023: Coordinated Control Strategy of Railway Multisource Traction System With Energy Storage and Renewable Energy
Spencer, L.
* 2004: Water video analysis
* 2006: Determining Scale and Sea State From Water Video
Spencer, M.[Mark]
* 2018: Predictive dynamic digital holography and image sharpening
Spencer, M.F.[Mark F.]
* 2013: Rough surface scattering for active-illumination systems
* 2017: Phase-error estimation and image reconstruction from digital-holography data using a Bayesian framework
* 2018: Demonstration of single-shot digital holography using a Bayesian framework
* 2019: Imaging through distributed-volume aberrations using single-shot digital holography
Spencer, M.W.
* 2003: High-resolution measurements with a spaceborne pencil-beam scatterometer using combined range/doppler discrimination techniques
* 2005: Spatial Resolution and Processing Tradeoffs for HYDROS: Application of Reconstruction and Resolution Enhancement Techniques
* 2013: RFI Characterization and Mitigation for the SMAP Radar
* 2014: Simulation Study of Compact Polarimetry for Radar Retrieval of Soil Moisture, A
* 2017: SMAP L-Band Microwave Radiometer: Instrument Design and First Year on Orbit
Spencer, N.[Nicholas]
* 2007: Human Perambulation as a Self Calibrating Biometric
Spencer, N.M.
* 2005: Towards Pose Invariant Gait Reconstruction
Spencer, R.G.
* 2017: Noise Estimation and Reduction in Magnetic Resonance Imaging Using a New Multispectral Nonlocal Maximum-likelihood Filter
* 2020: N-Dimensional Tensor Completion for Nuclear Magnetic Resonance Relaxometry
Includes: Spencer, R.G. Spencer, R.G.[Richard G.]
Spencer, R.G.S.
* 1997: Time Domain Simulation of Fourier Imaging by Summation of Isochromats
* 1999: Guest editorial: Advanced signal processing in MRI. Part I
* 1999: Guest editorial: Advanced signal processing in MRI. Part II
Includes: Spencer, R.G.S. Spencer, R.G.S.[Richard G.S.]
Spencer, T.[Timothy]
* 1996: Comparative Study of Textural Analysis Techniques to Characterise Tissue from Intravascular Ultrasound
* 1996: Intravascular Ultrasound Image Interpretation
Includes: Spencer, T.[Timothy] Spencer, T.
Spengler, C.
* 1997: Contour segmentation with recurrent neural networks of pulse-coding neurons
Spengler, D.[Daniel]
* 2010: review of the combination of spectral and geometric modelling for the application in forest remote sensing, A
* 2014: Extraction of Plant Physiological Status from Hyperspectral Signatures Using Machine Learning Methods
* 2014: Reduction of Uncorrelated Striping Noise: Applications for Hyperspectral Pushbroom Acquisitions
* 2014: Simulation of Multitemporal and Hyperspectral Vegetation Canopy Bidirectional Reflectance Using Detailed Virtual 3-D Canopy Models
* 2015: Organic Matter Modeling at the Landscape Scale Based on Multitemporal Soil Pattern Analysis Using RapidEye Data
* 2015: Spectral Unmixing of Forest Crown Components at Close Range, Airborne and Simulated Sentinel-2 and EnMAP Spectral Imaging Scale
* 2018: Structural and Spectral Analysis of Cereal Canopy Reflectance and Reflectance Anisotropy
* 2019: Analyzing Temporal and Spatial Characteristics of Crop Parameters Using Sentinel-1 Backscatter Data
* 2019: Linking Remote Sensing and Geodiversity and Their Traits Relevant to Biodiversity: Part I: Soil Characteristics
* 2020: Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity: Part II: Geomorphology, Terrain and Surfaces
* 2020: Mapping Soil Organic Carbon for Airborne and Simulated EnMAP Imagery Using the LUCAS Soil Database and a Local PLSR
* 2021: Agricultural Monitoring Using Polarimetric Decomposition Parameters of Sentinel-1 Data
* 2021: Comparison between Support Vector Machine and Water Cloud Model for Estimating Crop Leaf Area Index, A
* 2021: Detecting Phenological Development of Winter Wheat and Winter Barley Using Time Series of Sentinel-1 and Sentinel-2
* 2023: Early Crop Classification via Multi-Modal Satellite Data Fusion and Temporal Attention
Includes: Spengler, D.[Daniel] Spengler, D.
15 for Spengler, D.
Spengler, M.[Martin]
* 2001: Towards Robust Multi-Cue Integration for Visual Tracking
* 2003: Multi-object Tracking Based on a Modular Knowledge Hierarchy
* 2003: Towards Robust Multi-Cue Integration for Visual Tracking
Spenling, F.
* 2005: Planar: a mobile VR tool with pragmatic pose estimation for generation and manipulation of 3D data in industrial environments, The