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» A Function Representation for Learning in Banach Spaces
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IJCAI
1997
13 years 9 months ago
Combining Probabilistic Population Codes
We study the problemof statisticallycorrect inference in networks whose basic representations are population codes. Population codes are ubiquitous in the brain, and involve the s...
Richard S. Zemel, Peter Dayan
CVPR
2007
IEEE
14 years 10 months ago
On Constructing Facial Similarity Maps
Automatically determining facial similarity is a difficult and open question in computer vision. The problem is complicated both because it is unclear what facial features humans ...
Alex Holub, Yun-hsueh Liu, Pietro Perona
CVPR
2003
IEEE
14 years 10 months ago
Kernel Principal Angles for Classification Machines with Applications to Image Sequence Interpretation
We consider the problem of learning with instances defined over a space of sets of vectors. We derive a new positive definite kernel f(A B) defined over pairs of matrices A B base...
Lior Wolf, Amnon Shashua
MM
2010
ACM
169views Multimedia» more  MM 2010»
13 years 8 months ago
CO3 for ultra-fast and accurate interactive segmentation
This paper presents an interactive image segmentation framework which is ultra-fast and accurate. Our framework, termed "CO3", consists of three components: COupled repr...
Yibiao Zhao, Song Chun Zhu, Siwei Luo
IJSWIS
2006
168views more  IJSWIS 2006»
13 years 7 months ago
Unraveling the Taste Fabric of Social Networks
Popular online social networks such as Friendster and MySpace do more than simply reveal the superficial structure of social connectedness--the rich meanings bottled within social...
Hugo Liu, Pattie Maes, Glorianna Davenport