Chorage, S.S.[Suvarna S.]
* 2023: Optimized Neural Network with Refined Features for Categorization of Motor Imaginary Signals
Choras, M.[Michal]
* 2002: Computer Visual System Analyzing the Influence of Stimulants on Human Motion
* 2004: Ear Biometrics Based on Geometrical Method of Feature Extraction
* 2005: Ear Biometrics Based on Geometrical Feature Extraction
* 2006: Further Developments in Geometrical Algorithms for Ear Biometrics
* 2007: Recognizing Individual Typing Patterns
* 2008: Human Lips as Emerging Biometrics Modality
* 2009: Lips Recognition for Biometrics
* 2010: Image Recognition Techniques Applied to Automated and Objective QoE Assessment of Mobile WWW Services
* 2019: Binary Code for the Compact Palmprint Representation Using Texture Features
Includes: Choras, M.[Michal] Choras, M.[Micha]
9 for Choras, M.
Choras, R.S.
* 1984: Image Processing System for Industrial Robots
* 1993: Image coding by morphological skeleton transformation
* 2002: Computer Visual System Analyzing the Influence of Stimulants on Human Motion
* 2011: Image Processing & Communications Challenges 3
Includes: Choras, R.S. Choras, R.S.[Ryszard S.]
Chordia, J.[Jay]
* 2022: Uncertainties in Prediction of Streamflows Using SWAT Model: Role of Remote Sensing and Precipitation Sources
Chordia, V.[Varnith]
* 2021: STRIVE: Scene Text Replacement In Videos
Choremi, E.L.[Eirene Loukia]
* 2018: Epigraphic Museum of Athens Revisited, The
Includes: Choremi, E.L.[Eirene Loukia] Choremi, E.L.[Eirene-Loukia]
Chorianopoulos, I.[Ioannis]
* 2018: Incorporating Density in Spatiotemporal Land Use/Cover Change Patterns: The Case of Attica, Greece
Chormai, P.[Pattarawat]
* 2023: Towards Fixing Clever-Hans Predictors with Counterfactual Knowledge Distillation
Chormanski, J.[Jaroslaw]
* 2019: Automatic Proba-V Processor: TREX: Tool for Raster Data Exploration
* 2020: Continuous Daily Evapotranspiration with Optical Spaceborne Observations at Sub-Kilometre Spatial Resolution
* 2020: Recursive Feature Elimination and Random Forest Classification of Natura 2000 Grasslands in Lowland River Valleys of Poland Based on Airborne Hyperspectral and LiDAR Data Fusion
* 2020: Remotely Sensed Land Surface Temperature-Based Water Stress Index for Wetland Habitats
* 2021: Coupling of Dual Channel Waveform ALS and Sonar for Investigation of Lake Bottoms and Shore Zones
* 2023: Comparative Assessment of Multi-Source Generation of Digital Elevation Models for Fluvial Landscapes Characterization and Monitoring, A
* 2023: Use of an Airborne Laser Scanner for Rapid Identification of Invasive Tree Species Acer negundo in Riparian Forests, The
7 for Chormanski, J.
Choromanska, A.[Anna]
* 2021: Theoretical-Empirical Approach to Estimating Sample Complexity of DNNs, A
Choromanski, K.
* 2019: Development of Virtual Reality Application for Cultural Heritage Visualization from Multi-source 3D Data
Choromanski, W.
* 2015: Empty vehicles management as a method for reducing passenger waiting time in Personal Rapid Transit networks
Choros, T.
* 2020: UAV Imaging At RGB for Crop Condition Monitoring
Chorowicz, J.
* 1990: Parametrisable Skeletonization of Binary and Multilevel Images
* 1996: Segmentation of Digital Plane-Curves: A Dynamic Focusing Approach
* 1998: Computer Aided Recognition of Relief Patterns on Radar Images Using a Syntax Analysis
* 1998: Exploring the Utility Potential of SAR Interferometric Coherence Images
Chorowski, J.[Jan]
* 2012: Robust 3D Action Recognition with Random Occupancy Patterns
* 2021: Representing point clouds with generative conditional invertible flow networks
Chorro Juan, D.[Daniel]
* 2022: Automatic Detection of Epileptic Seizures with Recurrent and Convolutional Neural Networks
* 2022: Detection of Pulmonary Conditions Using the DeepHealth Framework
Includes: Chorro Juan, D.[Daniel] Chorro-Juan, D.[Daniel]
Chorsi, H.T.
* 2018: Using Eccentricity to Locate Ionospheric Exit Points of Magnetospheric Whistler Mode Waves
Chorus, C.G.
* 2012: Travel Information: Time to Drop the Labels?
Chorzempa, T.[Terrence]
* 1991: Relative sensitivity of a family of closest-point graphs in computer vision applications