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» On the Noise Model of Support Vector Machines Regression
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COLING
2008
13 years 10 months ago
A Hybrid Generative/Discriminative Framework to Train a Semantic Parser from an Un-annotated Corpus
We propose a hybrid generative/discriminative framework for semantic parsing which combines the hidden vector state (HVS) model and the hidden Markov support vector machines (HMSV...
Deyu Zhou, Yulan He
GBRPR
2009
Springer
14 years 3 months ago
Edition within a Graph Kernel Framework for Shape Recognition
A large family of shape comparison methods is based on a medial axis transform combined with an encoding of the skeleton by a graph. Despite many qualities this encoding of shapes ...
François-Xavier Dupé, Luc Brun
ICIP
2004
IEEE
14 years 10 months ago
A robust face detector under partial occlusion
This paper presents a robust face detector under partial occlusion. In recent years, the effectiveness of Support Vector Machine (SVM) to object detection is reported. However, co...
Kazuhiro Hotta
IJCNN
2008
IEEE
14 years 3 months ago
Robust modular ARTMAP for multi-class shape recognition
— This paper presents a Fuzzy ARTMAP (FAM) based modular architecture for multi-class pattern recognition known as Modular Adaptive Resonance Theory Map (MARTMAP). The prediction...
Chue Poh Tan, Chen Change Loy, Weng-Kin Lai, Chee ...
AIME
2009
Springer
14 years 21 days ago
Effect of Background Correction on Cancer Classification with Gene Expression Data
This paper empirically compares six background correction methods aimed at removing unspecific background noise of the overall signal level measured by a scanner across microarrays...
Adelaide Freitas, Gladys Castillo, Ana São ...