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CVPR
2011
IEEE
14 years 8 months ago
Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
15 years 11 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...
DESRIST
2009
Springer
79views Education» more  DESRIST 2009»
15 years 9 months ago
Power of peripheral designers: how users learn to design
In information system development, end-users often participate in design and in many cases learn to design their own system. Design, however, requires a distinct approach that use...
Yutaka Yamauchi
ICDM
2009
IEEE
154views Data Mining» more  ICDM 2009»
15 years 2 months ago
GSML: A Unified Framework for Sparse Metric Learning
There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...
Kaizhu Huang, Yiming Ying, Colin Campbell
CVPR
2010
IEEE
16 years 1 months ago
Beyond Active Noun Tagging: Modeling Contextual Interactions for Multi-Class Active Learning
We present an active learning framework to simultaneously learn appearance and contextual models for scene understanding tasks (multi-class classification). Existing multi-class a...
Behjat Siddiquie, Abhinav Gupta