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» Inference for Multiplicative Models
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135
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FGR
2006
IEEE
157views Biometrics» more  FGR 2006»
15 years 9 months ago
Morphable Face Reconstruction with Multiple Images
Efficient 3D face reconstruction is very important for face animation and recognition. The slow speed of the 3D morphable model is due to the texture mapping. To improve the spee...
Ming Zhao 0003, Tat-Seng Chua, Terence Sim
138
Voted
ISVC
2010
Springer
15 years 2 months ago
Attention-Based Target Localization Using Multiple Instance Learning
Abstract. We propose a novel Multiple Instance Learning (MIL) framework to perform target localization from image sequences. The proposed approach consists of a softmax logistic re...
Karthik Sankaranarayanan, James W. Davis
108
Voted
HICSS
2002
IEEE
87views Biometrics» more  HICSS 2002»
15 years 8 months ago
Using Enterprise Reference Models for Automated ISO 9000 Compliance Evaluation
A computational enterprise model representing key facets of an organization can be an effective tool. For example, a specific organization's quality management business proce...
Henry M. Kim, Mark S. Fox
146
Voted
PDPTA
2007
15 years 5 months ago
Multiple Networks for Heterogeneous Distributed Applications
Abstract - We have experienced in our distributed applications that the network is the main limiting factor for performances on clusters. Indeed clusters are cheap and it is easier...
Sylvain Jubertie, Emmanuel Melin
211
Voted
ICML
2002
IEEE
16 years 4 months ago
Cranking: Combining Rankings Using Conditional Probability Models on Permutations
A new approach to ensemble learning is introduced that takes ranking rather than classification as fundamental, leading to models on the symmetric group and its cosets. The approa...
Guy Lebanon, John D. Lafferty