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PAMI
2008
153views more  PAMI 2008»
13 years 7 months ago
Correlation Metric for Generalized Feature Extraction
Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms using ...
Yun Fu, Shuicheng Yan, Thomas S. Huang
CRV
2005
IEEE
201views Robotics» more  CRV 2005»
14 years 1 months ago
Minimum Bayes Error Features for Visual Recognition by Sequential Feature Selection and Extraction
The extraction of optimal features, in a classification sense, is still quite challenging in the context of large-scale classification problems (such as visual recognition), inv...
Gustavo Carneiro, Nuno Vasconcelos
VL
1996
IEEE
120views Visual Languages» more  VL 1996»
13 years 11 months ago
Visual Language Features Supporting Human-Human and Human-Computer Communication
Fundamental to the design of visual languages are the goals of facilitating communication between people and computers, and between people and other people. The Object Block Progr...
Jason E. Robbins, David J. Morley, David F. Redmil...
IV
2002
IEEE
126views Visualization» more  IV 2002»
14 years 13 days ago
The Empathic Visualisation Algorithm (EVA) - An Automatic Mapping from Abstract Data to Naturalistic Visual Structure
from Abstract Data to Naturalistic Visual Structure A. Loizides and M.Slater Department of Computer Science, University College London (UCL), London, UK This paper demonstrates a ...
Andreas Loizides, Mel Slater
ICASSP
2011
IEEE
12 years 11 months ago
A general Bayesian algorithm for visual object tracking based on sparse features
This paper describes a Bayesian algorithm for rigid/non-rigid 2D visual object tracking based on sparse image features. The algorithm is inspired by the way human visual cortex se...
Mauricio Soto Alvarez, Carlo S. Regazzoni