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» Recognition Model with Extension Fields
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ICDAR
2005
IEEE
16 years 20 hour ago
Learning Diagram Parts with Hidden Random Fields
Many diagrams contain compound objects composed of parts. We propose a recognition framework that learns parts in an unsupervised way, and requires training labels only for compou...
Martin Szummer
CIMCA
2005
IEEE
16 years 1 days ago
Orientation Selectivity of TAM Network with Extensive Receptive Field
— TAM (Topographic Attentive Mapping) network is a biologically-motivated neural network with Gabor function type receptive elds. However, the structure of receptive elds is a mon...
Isao Hayashi, James R. Williamson
CVPR
2008
IEEE
15 years 6 months ago
Beyond the Lambertian assumption: A generative model for Apparent BRDF fields of faces using anti-symmetric tensor splines
Human faces are neither exactly Lambertian nor entirely convex and hence most models in literature which make the Lambertian assumption, fall short when dealing with specularities...
Angelos Barmpoutis, Ritwik Kumar, Baba C. Vemuri, ...
ICMCS
2007
IEEE
143views Multimedia» more  ICMCS 2007»
16 years 22 days ago
Hidden Conditional Random Fields for Meeting Segmentation
Automatic segmentation and classification of recorded meetings provides a basis towards understanding the content of a meeting. It enables effective browsing and querying in a me...
Stephan Reiter, Björn Schuller, Gerhard Rigol...
ICCS
2007
Springer
16 years 17 days ago
Two Extensions of Data Assimilation by Field Alignment
Abstract. Classical formulations of data-assimilation perform poorly when forecast locations of weather systems are displaced from their observations. They compensate position erro...
Sai Ravela