Bozdag, P.G.[Pinar Gundogan]
* 2022: Can laboratory parameters be an alternative to CT and RT-PCR in the diagnosis of COVID-19? A machine learning approach
Bozdagi Akar, G.[Gozde]
* 2011: Optimization of encoding and error protection parameters for 3D Video Broadcast over DVB-H
Bozdagi, G.
* 1994: 3-D motion estimation and wireframe adaptation including photometric effects for model-based coding of facial image sequences
* 1994: improvement to MBASIC algorithm for 3-D motion and depth estimation, An
* 1994: Simultaneous motion-disparity estimation and segmentation from stereo
* 1995: Two-dimensional object-based coding using a content-based mesh and affine motion parameterization
* 1996: Fusion of Color and Edge Information for Improved Segmentation and Edge Linking
* 1997: 2-Dimensional Versus 3-Dimensional Object-Based Video Compression
* 1997: Feature Based Hierarchical Video Segmentation
* 1997: Fusion of Color and Edge Information for Improved Segmentation and Edge Linking
* 1997: Motion Segmentation by Multistage Affine Classification
* 1997: Video compression system using a dense motion vector field and a triangular patch mesh overlay model
* 1998: System and method for motion compensated de-interlacing of video frames
* 2000: Using encoding cost data for segmentation of compressed image sequences
* 2001: Method and system for real time feature based motion analysis for key frame selection from a video
* 2003: Systems and methods for registering scanned documents
Includes: Bozdagi, G. Bozdagi, G.[Gozde]
14 for Bozdagi, G.
Bozdemir, H.[Hacer]
* 2007: Application of Neural Networks in Classification of Epilepsy Using EEG Signals, The
Bozdogan, H.[Hamparsum]
* 2007: MuFeSaC: Learning When to Use Which Feature Detector
* 2008: Learning structurally discriminant features in 3D faces
* 2008: On handling uncertainty in the fundamental matrix for scene and motion adaptive pose recovery
* 2008: Uncertainty minimization in multi-sensor localization systems using model selection theory