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» Learning Hierarchical Models of Scenes, Objects, and Parts
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IJCNN
2000
IEEE
15 years 2 months ago
Regression Analysis for Rival Penalized Competitive Learning Binary Tree
The main aim of this paper is to develop a suitable regression analysis model for describing the relationship between the index efficiency and the parameters of the Rival Penaliz...
Xuequn Li, Irwin King
ICIP
2008
IEEE
15 years 11 months ago
Super-Resolution on small moving objects
Moving objects are often the most interesting parts in image sequences. When images from a camera are undersampled and the moving object is depicted small on the image plane, proc...
Adam W. M. van Eekeren, Klamer Schutte, Lucas J. v...
WACV
2007
IEEE
15 years 4 months ago
Motion Estimation Using a General Purpose Neural Network Simulator for Visual Attention
Motion detection and estimation is a first step in the much larger framework of attending to visual motion based on Selective Tuning Model of Visual Attention [1]. In order to be ...
Florentin Dorian Vintila, John K. Tsotsos
VRST
1997
ACM
15 years 2 months ago
Image-based view synthesis by combining trilinear tensors and learning techniques
We present a new method for rendering novel images of flexible 3D objects from a small number of example images in correspondence. The strength of the method is the ability to sy...
Shai Avidan, Theodoros Evgeniou, Amnon Shashua, To...
NIPS
1998
14 years 11 months ago
Making Templates Rotationally Invariant. An Application to Rotated Digit Recognition
This paper describes a simple and efficient method to make template-based object classification invariant to in-plane rotations. The task is divided into two parts: orientation di...
Shumeet Baluja