Yala, K.[Khalil]
* 2017: Construction of Multi-Year Time-Series Profiles of Suspended Particulate Inorganic Matter Concentrations Using Machine Learning Approach
Yalabik, C.[Cemal]
* 1998: Unsupervised Texture Based Image Segmentation by Simulated Annealing Using Markov Random Field and Potts Models
Yalabik, N.
* 1976: On the Computational Cost of Approximating and Recognizing Noise-Perturbed Straight Lines and Quadratic Arcs in the Plane
* 1992: Random Neural Network Model for Texture Generation, The
* 1996: Unsupervised Segmentation of Gray Level Markov Model Textures with Hierarchical Self Organizing Maps
* 1998: Unsupervised Texture Based Image Segmentation by Simulated Annealing Using Markov Random Field and Potts Models
* 2006: Combining Neural Networks for Gait Classification
* 2010: multi-classifier for grading knee osteoarthritis using gait analysis, A
Includes: Yalabik, N. Yalabik, N.[Nese]
Yalamanchili, R.P.
* 2009: Fuzzy-Cuts: A knowledge-driven graph-based method for medical image segmentation
Yalamanchili, S.
* 1980: Differencing Operations for the Segmentation of Moving Objects in Dynamic Scenes
* 1981: Motion and Image Differencing
* 1982: Extraction of Moving Object Descriptions via Differencing
* 1984: Formulation of Parallel Image Processing Tasks
* 1984: Parallel Image Processing with the Shuffle Exchange Network
* 1985: Analysis of a Model for Parallel Image Processing
* 1985: System Organization for Parallel Image Processing, A
* 1987: Parallel image normalization on a mesh connected array processor
8 for Yalamanchili, S.
Yalaoui, F.[Farouk]
* 2009: Evolutionary Optimization for Plasmon-Assisted Lithography
Yalavarthy, P.K.
* 2014: Model-Resolution-Based Basis Pursuit Deconvolution Improves Diffuse Optical Tomographic Imaging
* 2019: Fractional Regularization to Improve Photoacoustic Tomographic Image Reconstruction
* 2021: SiameseGAN: A Generative Model for Denoising of Spectral Domain Optical Coherence Tomography Images
* 2022: Siamese-SR: A Siamese Super-Resolution Model for Boosting Resolution of Digital Rock Images for Improved Petrophysical Property Estimation
Includes: Yalavarthy, P.K. Yalavarthy, P.K.[Phaneendra K.]