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» Learning Hierarchical Models of Scenes, Objects, and Parts
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IJCNN
2000
IEEE
15 years 6 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
16 years 3 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 8 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 6 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
15 years 3 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