High, J.
* 2008: Current challenges in automating visual perception
Higham, D.[David]
* 2022: No-Reference model for Detecting Audio Artifacts using Pretrained Audio Neural Networks, A
* 2023: On the Importance of Spatio-Temporal Learning for Video Quality Assessment
Highlander, T.[Tyler]
* 2015: Very Efficient Training of Convolutional Neural Networks using Fast Fourier Transform and Overlap-and-Add
Highleyman, W.H.
* 1961: Analog Method for Character Recognition, An
* 1963: Data for Character Recognition Studies
Highnam, P.T.
* 1989: Computing the Hough Transform on a Scan Line Array Processor
Highnam, R.[Ralph]
* 1995: Model-Based Image-Enhancement of Far-Infrared Images
* 1995: Representation for Mammographic Image Processing, A
* 1996: Model-Based Image-Enhancement of Far-Infrared Images
* 1997: Model-Based Image-Enhancement of Far-Infrared Images
* 1998: Correspondence Between two Different Views of X-Ray Mammograms Using Simulation of Breast Deformation
* 1999: Mammographic Image Analysis
* 2001: Correspondence between Different View Breast X Rays Using Curved Epipolar Lines
* 2001: Three-dimensional reconstruction of microcalcification clusters from two mammographic views
* 2015: Automatic BI-RADS Classification of Mammograms
* 2019: Automated Segmentation of Breast Arterial Calcifications from Digital Mammography
Includes: Highnam, R.[Ralph] Highnam, R.
10 for Highnam, R.
Highnote, S.M.
* 1997: Image Characterization in the Sub-Diffraction-Limited Regime
Hightower, J.[Jeffrey]
* 2001: Location Systems for Ubiquitous Computing
Hightower, J.N.[Jessica N.]
* 2014: Quantifying Ancient Maya Land Use Legacy Effects on Contemporary Rainforest Canopy Structure