Pach, M.[Mateusz]
* 2025: TORE: Token Recycling in Vision Transformers for Efficient Active Visual Exploration
Pacha, A.[Alexander]
* 2020: Understanding Optical Music Recognition
* 2021: DeepScoresV2 Dataset and Benchmark for Music Object Detection, The
Pachauri, D.
* 2011: Topology-Based Kernels With Application to Inference Problems in Alzheimer's Disease
Pacheco Angulo, C.[Carlos]
* 2021: Low-Cost and Robust Landsat-Based Approach to Study Forest Degradation and Carbon Emissions from Selective Logging in the Venezuelan Amazon, A
Includes: Pacheco Angulo, C.[Carlos] Pacheco-Angulo, C.[Carlos]
Pacheco dos Santos Lima, M.S.[Marcos Sergio]
* 2025: Enhanced generation of automatically labelled image segmentation datasets by advanced style interpreter deep architectures
Includes: Pacheco dos Santos Lima, M.S.[Marcos Sergio] Pacheco-dos Santos-Lima, M.S.[Marcos Sergio]
Pacheco Labrador, J.
* 2014: Nonlinear Response in a Field Portable Spectroradiometer: Characterization and Effects on Output Reflectance
* 2017: Spatio-Temporal Relationships between Optical Information and Carbon Fluxes in a Mediterranean Tree-Grass Ecosystem
* 2018: Improving the Performance of 3-D Radiative Transfer Model FLIGHT to Simulate Optical Properties of a Tree-Grass Ecosystem
* 2018: Using Near-Infrared-Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree-Grass Ecosystems
* 2019: Nitrogen and Phosphorus Effect on Sun-Induced Fluorescence and Gross Primary Productivity in Mediterranean Grassland
* 2019: Sun-Induced Chlorophyll Fluorescence I: Instrumental Considerations for Proximal Spectroradiometers
* 2019: Sun-Induced Chlorophyll Fluorescence II: Review of Passive Measurement Setups, Protocols, and Their Application at the Leaf to Canopy Level
* 2019: Sun-Induced Chlorophyll Fluorescence III: Benchmarking Retrieval Methods and Sensor Characteristics for Proximal Sensing
* 2019: Using Near-Infrared-Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree-Grass Ecosystems
Includes: Pacheco Labrador, J. Pacheco-Labrador, J. Pacheco-Labrador, J.[Javier]
9 for Pacheco Labrador, J.
Pacheco Martinez, J.[Jesus]
* 2015: Application of InSAR and Gravimetry for Land Subsidence Hazard Zoning in Aguascalientes, Mexico
* 2023: Determination of Susceptibility to the Generation of Discontinuities Related to Land Subsidence Using the Frequency Ratio Method in the City of Aguascalientes, Mexico
Includes: Pacheco Martinez, J.[Jesus] Pacheco-Martínez, J.[Jesús]
Pacheco Orellana, M.J.[Maria Jesus]
* 2022: Using UAV Photogrammetry and Automated Sensors to Assess Aquifer Recharge from a Coastal Wetland
Includes: Pacheco Orellana, M.J.[Maria Jesus] Pacheco-Orellana, M.J.[María Jesús]
Pacheco Ortega, A.[Abel]
* 2022: One-shot Learning for Human Affordance Detection
Includes: Pacheco Ortega, A.[Abel] Pacheco-Ortega, A.[Abel]
Pacheco Pascagaza, A.M.
* 2019: Mapping the Spatial Distribution of Colombia's Forest Aboveground Biomass Using SAR and Optical Data
* 2020: Drivers of Forest Loss in a Megadiverse Hotspot on the Pacific Coast of Colombia
* 2020: Woody Aboveground Biomass Mapping of the Brazilian Savanna with a Multi-Sensor and Machine Learning Approach
* 2022: Near Real-Time Change Detection System Using Sentinel-2 and Machine Learning: A Test for Mexican and Colombian Forests
Includes: Pacheco Pascagaza, A.M. Pacheco-Pascagaza, A.M. Pacheco-Pascagaza, A.M.[Ana M.] Pacheco-Pascagaza, A.M.[Ana María]
Pacheco Prado, D.[Diego]
* 2024: Mapping Polylepis Forest Using Sentinel, PlanetScope Images, and Topographical Features with Machine Learning
* 2025: Urban Tree Species Identification Based on Crown RGB Point Clouds Using Random Forest and PointNet
Includes: Pacheco Prado, D.[Diego] Pacheco-Prado, D.[Diego]
Pacheco Sanchez, J.H.
* 2012: Modified Back-Propagation Algorithm to Deal with Severe Two-Class Imbalance Problems on Neural Networks, A
* 2013: hybrid method to face class overlap and class imbalance on neural networks and multi-class scenarios, A
* 2015: Analysing the Safe, Average and Border Samples on Two-Class Imbalance Problems in the Back-Propagation Domain
Includes: Pacheco Sanchez, J.H. Pacheco-Sanchez, J.H. Pacheco-Sánchez, J.H.[J. Horacio]
Pacheco, A.[Ana]
* 2009: Decomposing Cavities in Digital Volumes into Products of Cycles
* 2009: Getting Topological Information for a 80-Adjacency Doxel-Based 4D Volume through a Polytopal Cell Complex
* 2011: Associating Cell Complexes to Four Dimensional Digital Objects
* 2012: Efficient Algorithm to Compute Subsets of Points in Zn, An
* 2016: Assessment of the SMAP Passive Soil Moisture Product
Includes: Pacheco, A.[Ana] Pacheco, A.
Pacheco, A.C.L.[Ana Carolina L.]
* 2010: tetratricopeptide repeats (TPR)-like superfamily of proteins in Leishmania spp., as revealed by multi-relational data mining, The
Pacheco, A.G.C.
* 2020: On Out-of-Distribution Detection Algorithms with Deep Neural Skin Cancer Classifiers
Pacheco, C.[Carolina]
* 2021: Detection-based Approach to Multiview Action Classification in Infants, A
Pacheco, E.P.
* 2019: Water productivity assessments for dwarf coconut by using Landsat 8 images and agrometeorological data
Pacheco, H.[Hugo]
* 2011: Classifying Execution Times in Parallel Computing Systems: A Classical Hypothesis Testing Approach
Pacheco, J.[Jenni]
* 2007: Cortical Surface Shape Analysis Based on Spherical Wavelets
* 2007: Geometrically Accurate Topology-Correction of Cortical Surfaces Using Nonseparating Loops
* 2012: Characterisation framework for epileptic signals
* 2020: Nonparametric Object and Parts Modeling With Lie Group Dynamics
* 2022: Selecting Post-Processing Schemes for Accurate Detection of Small Objects in Low-Resolution Wide-Area Aerial Imagery
* 2025: Robust Satellite Techniques (RSTs) for SO2 Detection with MSG-SEVIRI Data: A Case Study of the 2021 Tajogaite Eruption
Includes: Pacheco, J.[Jenni] Pacheco, J. Pacheco, J.[Jesús] Pacheco, J.[José]
Pacheco, J.M.[Jose M.]
* 2024: Monitoring Volcanic Plumes and Clouds Using Remote Sensing: A Systematic Review
Includes: Pacheco, J.M.[Jose M.] Pacheco, J.M.[José M.]
Pacheco, J.P.[Juan Pablo]
* 2021: Analysing the Impact of Climate Change on Hydrological Ecosystem Services in Laguna del Sauce (Uruguay) Using the SWAT Model and Remote Sensing Data
Pacheco, L.[Lluis]
* 2007: Constrained Monocular Obstacle Perception with Just One Frame
Includes: Pacheco, L.[Lluis] Pacheco, L.[Lluís]
Pacheco, M.C.[Max Chacon]
* 2017: Linear Modelling of Cerebral Autoregulation System Using Genetic Algorithms
Includes: Pacheco, M.C.[Max Chacon] Pacheco, M.C.[Max Chacón]
Pacheco, O.R.[Osvaldo Rocha]
* 2023: Seabream Freshness Classification Using Vision Transformers
Pacheco, P.
* 2019: Graphical Data Flow Based in Tls and Photogrammetry for Consolidation Studies of Historical Sites. The Case Study of Juromenha Fortress In Portugal
* 2019: Terrestrial Laser Scanning and Digital Photogrammetry for Heritage Conservation: Case Study of The Historical Walls of Lagos, Portugal
Pacheco, R.G.[Roberto G.]
* 2024: Early-Exit Deep Neural Network - A Comprehensive Survey
Pacheco, S.[Sandra]
* 2013: Moving Horizon Estimation of Pedestrian Interactions Based on Multiple Velocity Fields
Pachepsky, Y.[Yakov]
* 2017: Optimizing Semi-Analytical Algorithms for Estimating Chlorophyll-a and Phycocyanin Concentrations in Inland Waters in Korea
* 2020: Hyperspectral Imaging from a Multipurpose Floating Platform to Estimate Chlorophyll-a Concentrations in Irrigation Pond Water
* 2025: Hydro-Topographic Contribution to In-Field Crop Yield Variation Using High-Resolution Surface and GPR-Derived Subsurface DEMs
Pacher, G.[Georg]
* 2007: 3D Teacher for Car Detection in Aerial Images, A
Pachet, F.[Francois]
* 2008: scale-free distribution of false positives for a large class of audio similarity measures, A
Pachetti, E.[Eva]
* 2022: On the Effectiveness of 3D Vision Transformers for the Prediction of Prostate Cancer Aggressiveness
* 2023: Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI
Pachidis, T.[Theodore]
* 2019: Grapes Visual Segmentation for Harvesting Robots Using Local Texture Descriptors
Pachidis, T.P.[Theodore P.]
* 2005: Robot Path Generation Method for a Welding System Based on Pseudo Stereo Visual Servo Control
Pachon Cendales, I.P.
* 2019: Mapping the Spatial Distribution of Colombia's Forest Aboveground Biomass Using SAR and Optical Data
Includes: Pachon Cendales, I.P. Pachon-Cendales, I.P.
Pachori, R.B.[Ram Bilas]
* 2017: Automated detection of focal EEG signals using features extracted from flexible analytic wavelet transform
* 2017: Histogram refinement for texture descriptor based image retrieval
* 2017: new approach to characterize epileptic seizures using analytic time-frequency flexible wavelet transform and fractal dimension, A
* 2019: Automated glaucoma detection using quasi-bivariate variational mode decomposition from fundus images
* 2020: empirical wavelet transform-based approach for cross-terms-free Wigner-Ville distribution, An
* 2023: Automated Eye Movement Classification Based on EMG of EOM Signals Using FBSE-EWT Technique
* 2023: GS-Net: Global Self-Attention Guided CNN for Multi-Stage Glaucoma Classification
* 2024: AES-Net: An adapter and enhanced self-attention guided network for multi-stage glaucoma classification using fundus images
* 2024: Automated Classification of Cognitive Visual Objects Using Multivariate Swarm Sparse Decomposition From Multichannel EEG-MEG Signals
9 for Pachori, R.B.
Pachori, S.
* 2017: Deep Generative Filter for Motion Deblurring
Pachoud, S.[Samuel]
* 2008: Macro-cuboïd based probabilistic matching for lip-reading digits
* 2008: Video Augmentation for Improving Audio Speech Recognition under Noise
Includes: Pachoud, S.[Samuel] Pachoud, S.
Pachowicz, P.W.
* 1986: Time Effects Comparison for Software Computation of Images
* 1989: Image processing by software parallel computation
* 1992: Local Characteristics of Binary Images and Their Application to the Automatic Control of Low-Level Robot Vision
* 1992: Recognizing Noisy Patterns Via Iterative Optimization and Matching of Their Descriptions
* 1993: Integration of Machine Learning and Vision into an Active Agent Paradigm
* 1993: Issues in Learning from Noisy Sensory Data
* 1994: Progress on Vision through Learning at George Mason University
* 1994: Semiautonomous Evolution of Object Models for Adaptive Object Recognition
* 2002: Online model modification for adaptive texture recognition in image sequences
Includes: Pachowicz, P.W. Pachowicz, P.W.[Peter W.]
9 for Pachowicz, P.W.
Pachowitz, P.W.
* 1984: Image Processing and Analysis of the Grain Constitution in Minerals
* 1990: Integrating Low-Level Features Computation with Inductive Learning Techniques for Texture Recognition
Pachta, V.[Vasiliki]
* 2016: Design and Application of a Data System for the Comparative Study of Historic Mortars
* 2016: Evolution of Building Materials and Philosophy in Construction: A Process of Digitalization and Visualization of the Accumulated Knowledge
Pachter, M.[Meir]
* 2016: Optimal Human-Machine Teaming for a Sequential Inspection Operation