Kiskaddon, E.[Erin]
* 2023: Quantifying the Potential Contribution of Submerged Aquatic Vegetation to Coastal Carbon Capture in a Delta System from Field and Landsat 8/9-Operational Land Imager (OLI) Data with Deep Convolutional Neural Network
Kiskis, M.[Mindaugas]
* 2020: Assessment of the Segmentation of RGB Remote Sensing Images: A Subjective Approach
Kisku, D.R.
* 2007: Feature Level Fusion of Face and Fingerprint Biometrics
* 2008: Graph application on face for personal authentication and recognition
* 2009: Face recognition by fusion of local and global matching scores using DS theory: An evaluation with uni-classifier and multi-classifier paradigm
* 2009: Feature Level Clustering of Large Biometric Database
* 2009: Multibiometrics Belief Fusion
* 2016: BCP-BCS: Best-Fit Cascaded Matching Paradigm with Cohort Selection Using Bezier Curve for Individual Recognition
* 2016: Selection of User-Dependent Cohorts Using Bezier Curve for Person Identification
* 2018: Estimating Attention of Faces Due to its Growing Level of Emotions
* 2019: Face Identification Using Local Ternary Tree Pattern Based Spatial Structural Components
* 2020: Constraint saliency based intelligent camera for enhancing viewers attention towards intended face
Includes: Kisku, D.R. Kisku, D.R.[Dakshina R.] Kisku, D.R.[Dakshina Ranjan]
10 for Kisku, D.R.
Kisku, W.[Wilfred]
* 2024: Intelligent System With Reduced Readout Power and Lightweight CNN for Vision Applications, An