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» Learning a Generative Model for Structural Representations
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HICSS
2006
IEEE
163views Biometrics» more  HICSS 2006»
14 years 3 months ago
Learning Ranking vs. Modeling Relevance
The classical (ad hoc) document retrieval problem has been traditionally approached through ranking according to heuristically developed functions (such as tf.idf or bm25) or gene...
Dmitri Roussinov, Weiguo Fan
AVBPA
2005
Springer
255views Biometrics» more  AVBPA 2005»
14 years 2 months ago
Towards Scalable View-Invariant Gait Recognition: Multilinear Analysis for Gait
Abstract. In this paper we introduce a novel approach for learning view-invariant gait representation that does not require synthesizing particular views or any camera calibration....
Chan-Su Lee, Ahmed M. Elgammal
ICANN
2001
Springer
14 years 1 months ago
Independent Variable Group Analysis
Humans tend to group together related properties in order to understand complex phenomena. When modeling large problems with limited representational resources, it is important to...
Krista Lagus, Esa Alhoniemi, Harri Valpola
ICPR
2008
IEEE
14 years 10 months ago
Feature Fusion Hierarchies for gender classification
We present a hierarchical feature fusion model for image classification that is constructed by an evolutionary learning algorithm. The model has the ability to combine local patch...
Fabien Scalzo, George Bebis, Mircea Nicolescu, Lea...
3DPVT
2006
IEEE
224views Visualization» more  3DPVT 2006»
14 years 3 months ago
3D Modeling Using Planar Segments and Mesh Elements
Range sensing technology allows the photorealistic modeling of large-scale scenes, such as urban structures. The generated 3D representations, after automated registration, are us...
Ioannis Stamos, Gene Yu, George Wolberg, Siavash Z...