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NECO
2007
70views more  NECO 2007»
15 years 6 months ago
Solution Methods for a New Class of Simple Model Neurons
Recently Izhikevich (2003) proposed a new canonical neuron model of spike generation. The model was surprisingly simple, yet able to accurately replicate the firing patterns of d...
Mark D. Humphries, Kevin N. Gurney
KDD
2007
ACM
237views Data Mining» more  KDD 2007»
16 years 7 months ago
Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior
Documents, such as those seen on Wikipedia and Folksonomy, have tended to be assigned with multiple topics as a meta-data. Therefore, it is more and more important to analyze a re...
Issei Sato, Hiroshi Nakagawa
177
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LCPC
2005
Springer
16 years 8 days ago
Analytic Models and Empirical Search: A Hybrid Approach to Code Optimization
Compilers employ system models, sometimes implicitly, to make code optimization decisions. These models are analytic; they reflect their implementor’s understanding and beliefs ...
Arkady Epshteyn, María Jesús Garzar&...
AVSS
2009
IEEE
16 years 1 months ago
A 3D Face Model for Pose and Illumination Invariant Face Recognition
Generative 3D face models are a powerful tool in computer vision. They provide pose and illumination invariance by modeling the space of 3D faces and the imaging process. The powe...
Pascal Paysan, Reinhard Knothe, Brian Amberg, Sami...
ICPR
2002
IEEE
16 years 7 months ago
Modeling Object Classes in Aerial Images Using Texture Motifs
We propose a canonical model for object classes in aerial images. This model is motivated by the observation that geographic regions of interest are characterized by collections o...
Sitaram Bhagavathy, Shawn Newsam, B. S. Manjunath