Gowda, B.[Bhargava]
* 2021: Reconstruction or Retrieval? Investigating Neural 3D Reconstruction
Gowda, D.
* 2016: Whispered Speech Detection Using Fusion of Group-Delay-Based Subband Modulation Spectrum and Correntropy Features
Gowda, I.G.
* 1983: Dynamic Voronoi Diagrams
Gowda, K.C.[K. Chidananda]
* 1978: Agglomerative clustering using the concept of mutual nearest neighbourhood
* 1979: Learning with a mutualistic teacher
* 1983: Cluster Detection in a Collection of Collinear Line Segments
* 1984: Cluster Detection in a Collection of Collinear Line Segments
* 1984: Feature Reduction and Unsupervised Classification Algorithm for Multispectral Data, A
* 1991: Symbolic clustering using a new dissimilarity measure
* 1992: Dimensionality reduction using geometric projections: A new technique
* 1995: Agglomerative Clustering of Symbolic Objects Using the Concepts of Both Similarity and Dissimilarity
* 1995: Divisive Clustering of Symbolic Objects Using the Concepts of Both Similarity and Dissimilarity
* 2010: Subspace models for document script and language identification
10 for Gowda, K.C.
Gowda, P.
* 2010: Artificial Neural Network Approach for Mapping Contrasting Tillage Practices
* 2019: Modeling Framework for Deriving Daily Time Series of Evapotranspiration Maps Using a Surface Energy Balance Model, A
* 2021: Comparing Evapotranspiration Products of Different Temporal and Spatial Scales in Native and Managed Prairie Pastures
* 2022: Evaluating Optical Remote Sensing Methods for Estimating Leaf Area Index for Corn and Soybean
Includes: Gowda, P. Gowda, P.[Prasanna]
Gowda, P.H.[Prasanna H.]
* 2017: Performance of five surface energy balance models for estimating daily evapotranspiration in high biomass sorghum
* 2017: Utility of remote sensing-based surface energy balance models to track water stress in rain-fed switchgrass under dry and wet conditions
* 2019: Editorial for the Special Issue Remote Sensing of Evapotranspiration (ET)
* 2019: Response of Tallgrass Prairie to Management in the U.S. Southern Great Plains: Site Descriptions, Management Practices, and Eddy Covariance Instrumentation for a Long-Term Experiment
* 2022: Dormant Season Vegetation Phenology and Eddy Fluxes in Native Tallgrass Prairies of the U.S. Southern Plains
* 2023: Climate and Management Practices Jointly Control Vegetation Phenology in Native and Introduced Prairie Pastures
Gowda, R.[Rahul]
* 2010: Adaptive Nonlinear Image Enhancement of Gaussian Degraded Images
* 2012: Understanding Compressive Sensing and Sparse Representation-Based Super-Resolution
* 2023: GAMIVAL: Video Quality Prediction on Mobile Cloud Gaming Content
* 2023: Study of Subjective and Objective Quality Assessment of Mobile Cloud Gaming Videos
Includes: Gowda, R.[Rahul] Gowda, R.
Gowda, S.
* 2013: CEOS Visualization Environment (COVE) Tool for Intercalibration of Satellite Instruments
* 2023: LSFSL: Leveraging Shape Information in Few-shot Learning
Includes: Gowda, S. Gowda, S.[Shruthi]
Gowda, S.D.[Sahana D.]
* 2015: novel validity index with dynamic cut-off for determining true clusters, A
Gowda, S.N.[Shreyank N.]
* 2016: Age Estimation by LS-SVM Regression on Facial Images
* 2016: Fiducial Points Detection of a Face Using RBF-SVM and Adaboost Classification
* 2017: Human Activity Recognition Using Combinatorial Deep Belief Networks
* 2018: ColorNet: Investigating the Importance of Color Spaces for Image Classification
* 2022: CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition
* 2022: Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition
* 2023: Synthetic Sample Selection for Generalized Zero-Shot Learning
Includes: Gowda, S.N.[Shreyank N.] Gowda, S.N. Gowda, S.N.[Shreyank N]
7 for Gowda, S.N.
Gowda, S.S.[Sushma Suryanarayana]
* 2022: Investigation into Keystroke Dynamics and Heart Rate Variability as Indicators of Stress, An
Gowdra, N.[Nidhi]
* 2021: Mitigating severe over-parameterization in deep convolutional neural networks through forced feature abstraction and compression with an entropy-based heuristic
Gowdy, J.
* 1990: Annotated Maps for Autonomous Land Vehicles
* 1992: Combining Artificial Neural Networks and Symbolic Processing for Autonomous Robot Guidance
* 2004: High Speed Navigation of Unrehearsed Terrain: Red Team Technology for Grand Challenge 2004
Gowdy, J.N.[John N.]
* 2001: Affine-Invariant Visual Features Contain Supplementary Information to Enhance Speech Recognition
* 2002: Moving-Talker, Speaker-Independent Feature Study, and Baseline Results Using the CUAVE Multimodal Speech Corpus