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CIVR
2006
Springer
219views Image Analysis» more  CIVR 2006»
15 years 11 months ago
Bayesian Learning of Hierarchical Multinomial Mixture Models of Concepts for Automatic Image Annotation
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
Rui Shi, Tat-Seng Chua, Chin-Hui Lee, Sheng Gao
DAGM
2006
Springer
15 years 11 months ago
Diffusion-Like Reconstruction Schemes from Linear Data Models
In this paper we extend anisotropic diffusion with a diffusion tensor to be applicable to data that is well modeled by linear models. We focus on its variational theory, and invest...
Hanno Scharr
AIIA
2003
Springer
15 years 11 months ago
A Neural Architecture for Segmentation and Modelling of Range Data
A novel, two stage, neural architecture for the segmentation of range data and their modeling with undeformed superquadrics is presented. The system is composed by two distinct neu...
Roberto Pirrone, Antonio Chella
206
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IJCAI
2007
15 years 9 months ago
A Bayesian Computational Cognitive Model
Computational cognitive modeling has recently emerged as one of the hottest issues in the AI area. Both symbolic approaches and connectionist approaches present their merits and d...
Zhiwei Shi, Hong Hu, Zhongzhi Shi
ECIS
2003
15 years 8 months ago
A framework for analyzing software business models
In this study we explore the concept of business model and its essential elements in software business. There are no rigorous previous definitions or descriptions of the term busi...
Risto Rajala, Matti Rossi, Virpi Kristiina Tuunain...