Sciweavers

630 search results - page 13 / 126
» Rapid image analysis using neural signals
Sort
View
ICASSP
2008
IEEE
15 years 3 months ago
Contextually adaptive signal representation using conditional principal component analysis
The conventional method of generating a basis that is optimally adapted (in MSE) for representation of an ensemble of signals is Principal Component Analysis (PCA). A more ambitio...
Rosa M. Figueras i Ventura, Umesh Rajashekar, Zhou...
VRST
2005
ACM
15 years 3 months ago
Rapid scene modelling, registration and specification for mixed reality systems
Many mixed-reality systems require real-time composition of virtual objects with real video. Such composition requires some description of the virtual and real scene geometries an...
Russell M. Freeman, Anthony Steed, Bin Zhou
ICDAR
2003
IEEE
15 years 2 months ago
Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
Patrice Simard, David Steinkraus, John C. Platt
ICIAR
2005
Springer
15 years 3 months ago
Vector Median Root Signals Determination for cDNA Microarray Image Segmentation
Abstract. This paper presents a new cDNA microarray image segmentation framework. The framework uses robust vector median filtering to generate a root sigLnal which is an image ob...
Rastislav Lukac, Konstantinos N. Plataniotis
JOCN
2010
117views more  JOCN 2010»
14 years 4 months ago
The Neural Substrates and Timing of Top-Down Processes during Coarse-to-Fine Categorization of Visual Scenes: A Combined fMRI an
Spatial frequencies in an image influence visual analysis across a distributed, hierarchically organized brain network. Low spatial frequency (LSF) information may rapidly reach h...
Carole Peyrin, Christoph M. Michel, Sophie Schwart...