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» A Combination Method for Generating Interpolants
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ICCV
2005
IEEE
15 years 9 months ago
LOCUS: Learning Object Classes with Unsupervised Segmentation
We address the problem of learning object class models and object segmentations from unannotated images. We introduce LOCUS (Learning Object Classes with Unsupervised Segmentation...
John M. Winn, Nebojsa Jojic
WACV
2005
IEEE
15 years 9 months ago
Planar Ego-Motion Without Correspondences
General structure-from-motion methods are not adept at dealing with constrained camera motions, even though such motions greatly simplify vision tasks like mobile robot localizati...
Ameesh Makadia, Dinkar Gupta, Kostas Daniilidis
ASPDAC
2005
ACM
111views Hardware» more  ASPDAC 2005»
15 years 9 months ago
Fast floorplanning by look-ahead enabled recursive bipartitioning
A new paradigm is introduced for floorplanning any combination of fixed-shape and variable-shape blocks under tight fixedoutline area constraints and a wirelength objective. Dra...
Jason Cong, Michail Romesis, Joseph R. Shinnerl
SIGIR
2005
ACM
15 years 9 months ago
Scalable collaborative filtering using cluster-based smoothing
Memory-based approaches for collaborative filtering identify the similarity between two users by comparing their ratings on a set of items. In the past, the memory-based approache...
Gui-Rong Xue, Chenxi Lin, Qiang Yang, Wensi Xi, Hu...
CVBIA
2005
Springer
15 years 9 months ago
Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines
Abstract. Markov Random Fields (MRFs) are a popular and wellmotivated model for many medical image processing tasks such as segmentation. Discriminative Random Fields (DRFs), a dis...
Chi-Hoon Lee, Mark Schmidt, Albert Murtha, Aalo Bi...