Sciweavers

737 search results - page 55 / 148
» A General Model for Multiple View Unsupervised Learning
Sort
View
CVPR
2010
IEEE
14 years 5 months ago
Safety in Numbers: Learning Categories from Few Examples with Multi Model Knowledge Transfer
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
Tatiana Tommasi, Francesco Orabona, Barbara Caputo
CORR
2006
Springer
110views Education» more  CORR 2006»
13 years 9 months ago
Multiple Access Channels with State Information Known at Some Encoders
We consider a multiple access channel (MAC) with channel state information (CSI) non-causally known at some encoders. For simplicity of exposition, we focus on a two-encoder model...
Shivaprasad Kotagiri, J. Nicholas Laneman
ICDM
2008
IEEE
112views Data Mining» more  ICDM 2008»
14 years 3 months ago
Supervised Inductive Learning with Lotka-Volterra Derived Models
We present a classification algorithm built on our adaptation of the Generalized Lotka-Volterra model, well-known in mathematical ecology. The training algorithm itself consists ...
Karen Hovsepian, Peter Anselmo, Subhasish Mazumdar
IJCV
2000
180views more  IJCV 2000»
13 years 8 months ago
Probabilistic Models of Appearance for 3-D Object Recognition
We describe how to model the appearance of a 3-D object using multiple views, learn such a model from training images, and use the model for object recognition. The model uses pro...
Arthur R. Pope, David G. Lowe
CVPR
2005
IEEE
14 years 11 months ago
Pruning Training Sets for Learning of Object Categories
Training datasets for learning of object categories are often contaminated or imperfect. We explore an approach to automatically identify examples that are noisy or troublesome fo...
Anelia Angelova, Yaser S. Abu-Mostafa, Pietro Pero...