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» A Model Selection Approach for Local Learning
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WACV
2008
IEEE
14 years 3 months ago
Object Categorization Based on Kernel Principal Component Analysis of Visual Words
In recent years, many researchers are studying object categorization problem. It is reported that bag of keypoints approach which is based on local features without topological in...
Kazuhiro Hotta
NECO
2007
150views more  NECO 2007»
13 years 8 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
CVPR
2007
IEEE
14 years 10 months ago
Multi-Layer Background Subtraction Based on Color and Texture
In this paper, we propose a robust multi-layer background subtraction technique which takes advantages of local texture features represented by local binary patterns (LBP) and pho...
Jian Yao, Jean-Marc Odobez
ICDM
2009
IEEE
156views Data Mining» more  ICDM 2009»
13 years 6 months ago
Scalable Classification in Large Scale Spatiotemporal Domains Applied to Voltage-Sensitive Dye Imaging
We present an approach for learning models that obtain accurate classification of large scale data objects, collected in spatiotemporal domains. The model generation is structured ...
Igor Vainer, Sarit Kraus, Gal A. Kaminka, Hamutal ...
ICIP
2006
IEEE
14 years 10 months ago
Perfect Reconstruction AM-FM Image Models
For the first time, we present an AM-FM image model that, in addition to being remarkably consistent with human visual perception, also provides perfect reconstruction of the imag...
Roy A. Sivley, Joseph P. Havlicek