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» An Axis-Based Representation for Recognition
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ICPR
2008
IEEE
15 years 8 months ago
Transductive optimal component analysis
We propose a new transductive learning algorithm for learning optimal linear representations that utilizes unlabeled data. We pose the problem of learning linear representations a...
Yuhua Zhu, Yiming Wu, Xiuwen Liu, Washington Mio
ICMCS
2007
IEEE
279views Multimedia» more  ICMCS 2007»
15 years 7 months ago
Geodesic Distances for 3D-3D and 2D-3D Face Recognition
In this paper, we propose an original framework for representing 2D and 3D face information using geodesic distances. This aims to define a representation enabling the direct com...
Stefano Berretti, Alberto Del Bimbo, Pietro Pala, ...
ICASSP
2010
IEEE
15 years 1 months ago
Phone recognition using Restricted Boltzmann Machines
For decades, Hidden Markov Models (HMMs) have been the state-of-the-art technique for acoustic modeling despite their unrealistic independence assumptions and the very limited rep...
Abdel-rahman Mohamed, Geoffrey E. Hinton
AIEDAM
2008
106views more  AIEDAM 2008»
15 years 1 months ago
Analogical recognition of shape and structure in design drawings
We describe a method for constructing a structural model of an unlabeled target two-dimensional line drawing by analogy to a known source model of a drawing with similar structure...
Patrick W. Yaner, Ashok K. Goel
KES
2005
Springer
15 years 7 months ago
Ontology Modeling and Storage System for Robot Context Understanding
Abstract. A mobile robot that interacts with its environment needs a machineunderstandable representation of objects and their usages. We present an ontology of objects, with gener...
Eric Wang, Yong Se Kim, Hak Soo Kim, Jin Hyun Son,...