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» Learning a Generative Model for Structural Representations
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ICCV
2003
IEEE
14 years 10 months ago
Towards a Mathematical Theory of Primal Sketch and Sketchability
In this paper, we present a mathematical theory for Marr's primal sketch. We first conduct a theoretical study of the descriptive Markov random field model and the generative...
Cheng-en Guo, Song Chun Zhu, Ying Nian Wu
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
13 years 10 months ago
Towards memoryless model building
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
David Iclanzan, Dumitru Dumitrescu
AIEDU
2006
77views more  AIEDU 2006»
13 years 9 months ago
Constraint-based Modeling and Ambiguity
Constraint-based modeling has been used in many application areas of Intelligent Tutoring Systems as a powerful means to analyse erroneous student solutions and generate helpful fe...
Wolfgang Menzel
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
14 years 9 months ago
Heterogeneous source consensus learning via decision propagation and negotiation
Nowadays, enormous amounts of data are continuously generated not only in massive scale, but also from different, sometimes conflicting, views. Therefore, it is important to conso...
Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han
ICMLA
2010
13 years 6 months ago
Nonlinear Dynamical Multi-Scale Model of Associative Memory
How can we get such reliable behavior from the mind when the brain is made up of such unreliable elements as neurons? We propose that the answer is related to the emergence of stab...
Alexander M. Duda, Stephen E. Levinson