Kapp, M.N.[Marcelo N.]
* 2007: Methodology for the design of NN-based month-word recognizers written on Brazilian bank checks
* 2010: Adaptive Incremental Learning with an Ensemble of Support Vector Machines
Kapp, R.[Reyn]
* 2020: Influence of wireless communication transport latencies and dropped packages on vehicle stability with an offsite steering controller
Kappagantula, S.
* 1985: Motion Compensated Interframe Image Prediction
Kappal, S.J.[Sanjeev J.]
* 2009: Illustrating motion through DLP photography
Kappas, A.
* 2010: Smile When You Read This, Whether You Like It or Not: Conceptual Challenges to Affect Detection
* 2012: Facial and Vocal Cues in Perceptions of Trustworthiness
* 2013: Affect and Social Processes in Online Communication: Experiments with an Affective Dialog System
* 2013: Predicting Emotional Responses to Long Informal Text
Includes: Kappas, A. Kappas, A.[Arvid]
Kappas, C.
* 2019: PET Counting Response Variability Depending on Tumor Location, Activity, and Patient Obesity: A Feasibility Study of Solitary Pulmonary Nodule Using Monte Carlo
Kappas, M.
* 2012: Quantifying Land Use/cover Change And Landscape Fragmentation In Danang City, Vietnam: 1979-2009
* 2012: Retrieval of Coarse-Resolution Leaf Area Index over the Republic of Kazakhstan Using NOAA AVHRR Satellite Data and Ground Measurements
* 2015: Inter-Comparison and Evaluation of the Global LAI Product (LAI3g) and the Regional LAI Product (GGRS-LAI) over the Area of Kazakhstan
* 2016: Estimating Daily Maximum and Minimum Land Air Surface Temperature Using MODIS Land Surface Temperature Data and Ground Truth Data in Northern Vietnam
* 2017: Comparison of Multiple Linear Regression, Cubist Regression, and Random Forest Algorithms to Estimate Daily Air Surface Temperature from Dynamic Combinations of MODIS LST Data
* 2019: Application of Ordinary Kriging and Regression Kriging Method for Soil Properties Mapping in Hilly Region of Central Vietnam
* 2019: CA Markov Modeling of Land Use Land Cover Dynamics and Sensitivity Analysis to Identify Sensitive Parameter(s)
* 2020: CA Markov Modeling of Land Use Land Cover Change Predictions and Effect Of Numerical Iterations, Image Interval (time Steps) on Prediction Results
* 2020: Cellular Automata (ca) Contiguity Filters Impacts on CA Markov Modeling Of Land Use Land Cover Change Predictions Results
* 2020: Extreme Climate Event and Its Impact on Landscape Resilience in Gobi Region of Mongolia
Includes: Kappas, M. Kappas, M.[Martin]
10 for Kappas, M.
Kappel, M.
* 2020: Optical Quality Control for Adaptive Polishing Processes
* 2021: High-Fidelity Neural Human Motion Transfer from Monocular Video
Includes: Kappel, M. Kappel, M.[Moritz]
Kappeler, A.[Armin]
* 2015: Dictionary-based multiple frame video super-resolution
* 2016: Block based video alignment with linear time and space complexity
* 2016: Super-resolution of compressed videos using convolutional neural networks
* 2017: Ptychnet: CNN based fourier ptychography
* 2017: Sparse Representation-Based Multiple Frame Video Super-Resolution
Includes: Kappeler, A.[Armin] Kappeler, A.
Kappen, H.J.
* 1997: Mean-Field Approach to Learning in Boltzmann Machines
Kapper, H.C.[Hannah C.]
* 2021: Status of Air Quality in the United States During the COVID-19 Pandemic: A Remote Sensing Perspective, The
Kappers, A.M.L.[Astrid M. L.]
* 1992: Surface Perception in Pictures
* 1993: Estimating local shape from shading in the presence of global shading
* 1996: REALISE: Reconstruction of REALity from Image SEquences
* 1997: Detection of Second-Order Structure in Optical-Flow Fields
* 1999: Specularities on Surfaces with Tangential Hairs or Grooves
* 2000: Specularities on Surfaces with Tangential Hairs or Grooves
* 2003: Illumination direction from texture shading
Includes: Kappers, A.M.L.[Astrid M. L.] Kappers, A.M.L.
7 for Kappers, A.M.L.
Kappes, J.H.[Jorg H.]
* 2006: Learning of Graphical Models and Efficient Inference for Object Class Recognition
* 2007: Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification
* 2008: MAP-Inference for Highly-Connected Graphs with DC-Programming
* 2009: Convex Multi-class Image Labeling by Simplex-Constrained Total Variation
* 2010: Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM, An
* 2010: MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation
* 2010: Study of Parts-Based Object Class Detection Using Complete Graphs, A
* 2011: Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization
* 2011: Globally Optimal Image Partitioning by Multicuts
* 2011: Probabilistic image segmentation with closedness constraints
* 2011: study of Nesterov's scheme for Lagrangian decomposition and MAP labeling, A
* 2011: Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences
* 2012: bundle approach to efficient MAP-inference by Lagrangian relaxation, A
* 2012: Lazy Flipper: Efficient Depth-Limited Exhaustive Search in Discrete Graphical Models, The
* 2013: Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems, A
* 2013: Partial Optimality via Iterative Pruning for the Potts Model
* 2013: Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization
* 2013: Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences
* 2014: Asymmetric Cuts: Joint Image Labeling and Partitioning
* 2014: Cut, Glue, & Cut: A Fast, Approximate Solver for Multicut Partitioning
* 2014: MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves
* 2014: Partial Optimality by Pruning for MAP-Inference with General Graphical Models
* 2015: Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems, A
* 2015: Fusion moves for correlation clustering
* 2015: Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts
* 2015: TomoGC: Binary Tomography by Constrained GraphCuts
* 2016: Higher-order segmentation via multicuts
* 2016: Multicuts and Perturb and MAP for Probabilistic Graph Clustering
* 2016: Partial Optimality by Pruning for MAP-Inference with General Graphical Models
Includes: Kappes, J.H.[Jorg H.] Kappes, J.H.[Jörg H.] Kappes, J.H.[Jörg Hendrik] Kappes, J.H.[Jorg Hendrik]
29 for Kappes, J.H.
Kappler, D.[Daniel]
* 2016: Superpixel Convolutional Networks Using Bilateral Inceptions
* 2017: Learning to Filter Object Detections
Kappler, S.
* 2017: Estimation of Basis Line-Integrals in a Spectral Distortion-Modeled Photon Counting Detector Using Low-Order Polynomial Approximation of X-ray Transmittance
* 2017: Estimation of Basis Line-Integrals in a Spectral Distortion-Modeled Photon Counting Detector Using Low-Rank Approximation-Based X-Ray Transmittance Modeling: K-Edge Imaging Application
Kappus, C.[Christoph]
* 2010: Nugget-Cut: A Segmentation Scheme for Spherically- and Elliptically-Shaped 3D Objects