Back, A.D.[Andrew D.]
* 1996: Face Recognition: A Hybrid Neural Network Approach
* 1997: Face Recognition: A Convolutional Neural-Network Approach
Back, J.[Jaana]
* 2018: Measurement of Diurnal Variation in Needle PRI and Shoot Photosynthesis in a Boreal Forest
* 2018: Measurement of Diurnal Variation in Needle PRI and Shoot Photosynthesis in a Boreal Forest
* 2023: Interactive Cartoonization with Controllable Perceptual Factors
Includes: Back, J.[Jaana] Bäck, J.[Jaana] (Maybe also Baeck, J.)Back, J.[Jihye]
Back, J.H.[Jong Hee]
* 2018: High-Precision 3D Coarse Registration Using RANSAC and Randomly-Picked Rejections
Includes: Back, J.H.[Jong Hee] Back, J.H.[Jong-Hee]
Back, M.[Muhyun]
* 2023: Improved Real-Time Monocular SLAM Using Semantic Segmentation on Selective Frames
Back, M.Y.[Min Young]
* 2019: Two-Dimensional Ship Velocity Estimation Based on KOMPSAT-5 Synthetic Aperture Radar Data
* 2021: RAIN-F+: The Data-Driven Precipitation Prediction Model for Integrated Weather Observations
* 2024: DCEF2-YOLO: Aerial Detection YOLO with Deformable Convolution-Efficient Feature Fusion for Small Target Detection
Includes: Back, M.Y.[Min Young] Back, M.Y.[Min-Young]
Back, S.
* 2020: Segmenting Unseen Industrial Components In A Heavy Clutter Using RGB-D Fusion And Synthetic Data
Back, T.[Thomas]
* 2007: Towards Dynamic Fitness Based Partitioning for Intra-Vascular Ultra-Sound Image Analysis
* 2008: Optimizing Computed Tomographic Angiography Image Segmentation Using Fitness Based Partitioning
* 2019: Kinetics Human Action Video Dataset, The
* 2021: Comparison of deep learning and hand crafted features for mining simulation data
* 2021: Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study
* 2021: Norm Loss: An efficient yet effective regularization method for deep neural networks
* 2021: Point2FFD: Learning Shape Representations of Simulation-Ready 3D Models for Engineering Design Optimization
* 2021: Unreasonable Effectiveness of the Final Batch Normalization Layer, The
* 2023: Clustering-based Domain-Incremental Learning
Includes: Back, T.[Thomas] Bäck, T.[Thomas] (Maybe also Baeck, T.)Back, T.[Trevor]
9 for Back, T.
Backalov, I.[Ivailo]
* 1995: Motion Analysis Via Interframe Point Correspondence Establishment
Backe, B.[Bjorn]
* 2023: Nordic Vehicle Dataset (NVD): Performance of vehicle detectors using newly captured NVD from UAV in different snowy weather conditions
Includes: Backe, B.[Bjorn] Backe, B.[Björn]
Backer, E.
* 1984: Split-and-Merge Segmentation of SLAR Imagery: Segmentation Consistency
* 1988: Modelling Uncertainty in ESATS by Classification Inference
* 1990: improved linked pyramid for texture segmentation using the fractal Brownian model, An
* 1992: DRBP: dynamically reinforced BP-based ANN-training
* 1995: Finding Point Correspondences Using Simulated Annealing
* 2000: Image sharpening by morphological filtering
* 2001: Resolving Motion Correspondence for Densely Moving Points
* 2002: Maximum Variance Cluster Algorithm, A
* 2003: cellular coevolutionary algorithm for image segmentation, A
* 2003: Establishing motion correspondence using extended temporal scope
* 2003: Motion tracking as a constrained optimization problem
* 2005: On musical stylometry: A pattern recognition approach
Includes: Backer, E. Backer, E.[Eric]
12 for Backer, E.
Backer, G.[Gerriet]
* 2001: Data- and Model-Driven Gaze Control for an Active-Vision System
* 2002: Evaluation of Attentional Control in Active Vision Systems Using a 3D Simulation Framework
* 2005: Goal-Directed Search with a Top-Down Modulated Computational Attention System
Includes: Backer, G.[Gerriet] Backer, G.
Backes, A.R.[Andre R.]
* 2006: Deterministic Tourist Walks as an Image Analysis Methodology Based
* 2008: New Approach to Estimate Fractal Dimension of Texture Images, A
* 2009: complex network-based approach for boundary shape analysis, A
* 2009: Graph-Based Approach for Shape Skeleton Analysis, A
* 2009: Novel Approach to Estimate Fractal Dimension from Closed Curves, A
* 2009: Plant Leaf Identification Using Multi-scale Fractal Dimension
* 2009: Plant Species Identification Using Multi-scale Fractal Dimension Applied to Images of Adaxial Surface Epidermis
* 2010: Characterizing 3D Shapes Using Fractal Dimension
* 2010: Color Texture Analysis and Classification: An Agent Approach Based on Partially Self-avoiding Deterministic Walks
* 2010: Complex Network-Based Approach for Texture Analysis, A
* 2010: Leaves Shape Classification Using Curvature and Fractal Dimension
* 2010: Medical Image Retrieval Based on Complexity Analysis
* 2010: Plant Leaf Identification Using Color and Multi-scale Fractal Dimension
* 2010: Shape classification using complex network and Multi-scale Fractal Dimension
* 2010: Shape Skeleton Classification Using Graph and Multi-scale Fractal Dimension
* 2010: Texture analysis and classification using deterministic tourist walk
* 2010: Texture analysis based on maximum contrast walker
* 2011: Simplified Gravitational Model for Texture Analysis, A
* 2011: Texture analysis using graphs generated by deterministic partially self-avoiding walks
* 2012: Color texture analysis based on fractal descriptors
* 2012: comparative study on multiscale fractal dimension descriptors, A
* 2012: simplified gravitational model to analyze texture roughness, A
* 2013: Color texture classification based on gravitational collapse
* 2013: Gravitational Based Texture Roughness for Plant Leaf Identification
* 2013: new approach to estimate lacunarity of texture images, A
* 2013: Plant Leaf Classification Using Color on a Gravitational Approach
* 2013: Simplified Gravitational Model for Texture Analysis, A
* 2013: Texture analysis and classification using shortest paths in graphs
* 2014: color texture analysis method based on a gravitational approach for classification of the pap-smear database, A
* 2014: Color Texture Classification Using Shortest Paths in Graphs
* 2015: Bregman Divergence Applied to Hierarchical Segmentation Problems
* 2015: Color Fractal Descriptors for Adaxial Epidermis Texture Classification
* 2015: Gravitational Model for Grayscale Texture Classification Applied to the pap-smear Database, A
* 2015: Gravitational Model for Plant Classification Using Adaxial Epidermis Texture, A
* 2015: Texture Characterization via Automatic Threshold Selection on Image-Generated Complex Network
* 2015: Texture characterization via improved deterministic walks on image-generated complex network
* 2016: ELM based signature for texture classification
* 2017: Pap-Smear Image Classification Using Randomized Neural Network Based Signature
* 2017: Randomized Neural Network Based Signature for Classification of Titanium Alloy Microstructures
* 2017: Texture characterization via deterministic walks' direction histogram applied to a complex network-based image transformation
* 2017: Texture Classification of Phases of Ti-6Al-4V Titanium Alloy Using Fractal Descriptors
* 2017: Upper and lower volumetric fractal descriptors for texture classification
Includes: Backes, A.R.[Andre R.] Backes, A.R.[André R.] Backes, A.R.[Andre Ricardo] Backes, A.R.[André Ricardo] Backes, A.R.
42 for Backes, A.R.
Backes, D.
* 2019: Towards a High-resolution Drone-based 3d Mapping Dataset to Optimise Flood Hazard Modelling
* 2020: River Morphology Monitoring of A Small-scale Alpine Riverbed Using Drone Photogrammetry and Lidar
Backes, M.[Michael]
* 2012: Diffusion-based Image Compression in Steganography
* 2021: Killing Four Birds with one Gaussian Process: The Relation between different Test-Time Attacks
* 2021: MLCapsule: Guarded Offline Deployment of Machine Learning as a Service
* 2023: Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders
* 2024: Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models
Backfrieder, C.
* 2017: Increased Traffic Flow Through Node-Based Bottleneck Prediction and V2X Communication
Backhaus, A.
* 2005: Contextual Learning in the Selective Attention for Identification model (CL-SAIM): Modeling contextual cueing in visual search tasks
* 2020: Detection of Grapevine Leafroll-Associated Virus 1 and 3 in White and Red Grapevine Cultivars Using Hyperspectral Imaging
* 2020: Detection of Two Different Grapevine Yellows in Vitis vinifera Using Hyperspectral Imaging
Includes: Backhaus, A. Backhaus, A.[Andreas]
Backhaus, J.[Jan]
* 2021: Implementation and Validation of a High Accuracy UAV-Photogrammetry Based Rail Track Inspection System
Backhouse, A.[Andy]
* 2007: ML Nonlinear Smoothing for Image Segmentation and its Relationship to the Mean Shift
* 2008: Face tracking using Rao-Blackwellized particle filter and pose-dependent probabilistic PCA
Includes: Backhouse, A.[Andy] Backhouse, A.[Andrew]
Backhouse, A.G.
* 2005: Error-Resilient Packet Video Coding Using Harmonic Frame-Expansions and Temporal Prediction
* 2009: Joint particle filters and multi-mode anisotropic mean shift for robust tracking of video objects with partitioned areas
* 2011: Robust Visual Object Tracking Using Multi-Mode Anisotropic Mean Shift and Particle Filters
Includes: Backhouse, A.G. Backhouse, A.G.[Andrew G.]
Backman, L.[Leif]
* 2023: CH4 Fluxes Derived from Assimilation of TROPOMI XCH4 in CarbonTracker Europe-CH4: Evaluation of Seasonality and Spatial Distribution in the Northern High Latitudes
Backstrom, C.
* 1987: Static and Dynamic Logical Modelling of Mechanical Assembly Processes in a Simplified Geometrical Environment
Backstrom, T.
* 2015: Decorrelating MVDR Filterbanks Using the Non-Uniform Discrete Fourier Transform