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ICCV
2005
IEEE
14 years 3 months ago
Visual Learning Given Sparse Data of Unknown Complexity
This study addresses the problem of unsupervised visual learning. It examines existing popular model order selection criteria before proposes two novel criteria for improving visu...
Tao Xiang, Shaogang Gong
ICASSP
2010
IEEE
13 years 10 months ago
Multi-object filtering from image sequence without detection
Almost every single-view visual multi-target tracking method presented in the literature includes a detection routine that maps the image data to point measurements relevant to th...
Reza Hoseinnezhad, Ba-Ngu Vo, David Suter, Ba-Tuon...
HAPTICS
2008
IEEE
14 years 4 months ago
Improving Perception and Understanding of Nanoscale Phenomena Using Haptics and Visual Analogy
Abstract. This paper introduces a new pedagogical tool using haptic feedback and visual analogy, to improve perception and learning of nanoscale phenomena, for people without prior...
Guillaume Millet, Anatole Lécuyer, Jean-Mar...
BILDMED
2007
107views Algorithms» more  BILDMED 2007»
13 years 11 months ago
Interactive Guidance System for C-Arm Repositioning Without Radiation
Abstract. The problem of repositioning mobile C-arms to defined target locations during surgical procedures currently requires not only time, but also skill and additional radiati...
Tassilo Klein, Selim Benhimane, Jörg Traub, S...
ECCV
2008
Springer
14 years 11 months ago
Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks
Abstract. Building visual recognition models that adapt across different domains is a challenging task for computer vision. While feature-learning machines in the form of hierarchi...
Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric P. Xi...