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» Imitation Learning Using Graphical Models
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ECCV
2010
Springer
14 years 1 months ago
Stacked Hierarchical Labeling
In this work we propose a hierarchical approach for labeling semantic objects and regions in scenes. Our approach is reminiscent of early vision literature in that we use a decompo...
ICMCS
2006
IEEE
132views Multimedia» more  ICMCS 2006»
14 years 2 months ago
The Interactive Cooking Support System in Mixed Reality Environment
Recently, many learning systems, such as e-learning and WBT (Web Based Teaching) systems have been developed. In these systems, users can get educational contents and graphical ma...
Arata Horie, Satoru Mega, Kuniaki Uehara
CIA
2007
Springer
14 years 2 months ago
A Probabilistic Framework for Decentralized Management of Trust and Quality
In this paper, we propose a probabilistic framework targeting three important issues in the computation of quality and trust in decentralized systems. Specifically, our approach a...
Le-Hung Vu, Karl Aberer
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
14 years 2 months ago
Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis
We present a biology-inspired probabilistic graphical model, called the hypernetwork model, and its application to medical diagnosis of disease. The hypernetwork models are a way ...
JungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Ta...
ICCV
2007
IEEE
14 years 10 months ago
People-LDA: Anchoring Topics to People using Face Recognition
Topic models have recently emerged as powerful tools for modeling topical trends in documents. Often the resulting topics are broad and generic, associating large groups of people...
Vidit Jain, Erik G. Learned-Miller, Andrew McCallu...