Results 81 to 90 of about 1,098,703 (325)

Conformers are All You Need for Visual Speech Recognition [PDF]

arXiv, 2023
Visual speech recognition models extract visual features in a hierarchical manner. At the lower level, there is a visual front-end with a limited temporal receptive field that processes the raw pixels depicting the lips or faces. At the higher level, there is an encoder that attends to the embeddings produced by the front-end over a large temporal ...
arxiv  

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Invariant template matching in systems with spatiotemporal coding: a vote for instability

, 2007
We consider the design of a pattern recognition that matches templates to images, both of which are spatially sampled and encoded as temporal sequences. The image is subject to a combination of various perturbations.
Alonso, Amit, Amit, Amit, Attneave, Baccus, Banham, Blake, Bueso, Cees van Leeuwen, Demontis, Enroth-Cugell, Fradkov, Fuchs, Gabor, Gilden, Gorban, Guckenheimer, Gutig, Hansel, Hatfield, Herz, Hindmarsh, Hofer, Hopfield, Ivan Tyukin, Izhikevich, Jain, Kaneko, Kaneko, Khalil, Lachmann, Lee, Leeuwenberg, Leopold, Mather, Miller, Milnor, Mon-Williams, Pogromsky, Rabinovic, Ritter, Rodieck, Sharpe, Shepard, Smirnakis, Smith, Smith, Tatiana Tyukina, Tsuda, Tyukin, Tyukin, Ullman, van Leeuwen, van Leeuwen, Webster, Wolfson   +56 more
core   +1 more source

Cognitive performance in multiple system atrophy [PDF]

, 1992
The cognitive performance of a group of patients with multiple system atrophy (MSA) of striato-nigral predominance was compared with that of age and IQ matched control subjects, using three tests sensitive to frontal lobe dysfunction and a battery ...
James, M., Lange, Klaus W., Marsden, C. D., Owen, A. M., Quinn, N. P., Robbins, T. W.   +5 more
core   +1 more source

Rotational Invariance in Visual Pattern Recognition by Pigeons and Humans [PDF]

Science, 1982
Pigeons and humans chose which one of two alternative visual forms was identical to, or a mirror image of, a previously presented sample form. The two comparison forms were presented in various orientations with respect to the sample. The two species yielded similar accuracies, but although human reaction times depended linearly on the angular ...
Delius, Juan, Hollard, Valerie
openaire   +4 more sources

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source

Enhancing the Recognition of Collinear Building Patterns by Shape Cognition Based on Graph Neural Networks

Applied Artificial Intelligence
Building patterns are important components of urban structures and functions, and their accurate recognition is the foundation of urban spatial analysis, cartographic generalization, and other tasks. Current building pattern recognition methods are often
Fubing Zhang, Qun Sun, Wenjun Huang, Youneng Su, Jingzhen Ma, Ruixing Xing   +5 more
doaj   +1 more source

Adaptive Resonance Theory: Self-Organizing Networks for Stable Learning, Recognition, and Prediction [PDF]

, 1995
Adaptive Resonance Theory (ART) is a neural theory of human and primate information processing and of adaptive pattern recognition and prediction for technology.
Carpenter, Gail, Grossberg, Stephen
core   +1 more source

Stopping Criterion for the Mean Shift Iterative Algorithm

, 2013
Image segmentation is a critical step in computer vision tasks constituting an essential issue for pattern recognition and visual interpretation. In this paper, we propose a new stopping criterion for the mean shift iterative algorithm by using images ...
Pereira, Osvaldo, Pérez, Claudia, Rogríguez, Roberto, Suárez, Yasel Garcés, Torres, Esley   +4 more
core   +1 more source

PatternNet: Visual Pattern Mining with Deep Neural Network [PDF]

arXiv, 2017
Visual patterns represent the discernible regularity in the visual world. They capture the essential nature of visual objects or scenes. Understanding and modeling visual patterns is a fundamental problem in visual recognition that has wide ranging applications.
arxiv