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» Learning bilinear models for two-factor problems in vision
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CVPR
2008
IEEE
16 years 1 months ago
Spectrally optimal factorization of incomplete matrices
From the recovery of structure from motion to the separation of style and content, many problems in computer vision have been successfully approached by using bilinear models. The...
Pedro M. Q. Aguiar, João M. F. Xavier, Mark...
144
Voted
PAMI
2010
417views more  PAMI 2010»
14 years 10 months ago
Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
Zhuowen Tu, Xiang Bai
87
Voted
AI
2010
Springer
15 years 4 months ago
Overlap versus Imbalance
Abstract. In this paper we give a systematic analysis of the relationship between imbalance and overlap as factors influencing classifier performance. We demonstrate that these t...
Misha Denil, Thomas P. Trappenberg
IJRR
2008
109views more  IJRR 2008»
14 years 11 months ago
Robotic Grasping of Novel Objects using Vision
We consider the problem of grasping novel objects, specifically ones that are being seen for the first time through vision. Grasping a previously unknown object, one for which a 3...
Ashutosh Saxena, Justin Driemeyer, Andrew Y. Ng
132
Voted
CVPR
2012
IEEE
13 years 2 months ago
Bridging the past, present and future: Modeling scene activities from event relationships and global rules
This paper addresses the discovery of activities and learns the underlying processes that govern their occurrences over time in complex surveillance scenes. To this end, we propos...
Jagannadan Varadarajan, Rémi Emonet, Jean-M...