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BMCBI
2008
137views more  BMCBI 2008»
14 years 10 months ago
A dynamic Bayesian network approach to protein secondary structure prediction
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
Xin-Qiu Yao, Huaiqiu Zhu, Zhen-Su She
ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
15 years 2 months ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong
IJVR
2007
135views more  IJVR 2007»
14 years 9 months ago
Continuous LOD Model of Coniferous Foliage
—Interactive and realistic rendering of forest is a challenge due to a huge amount of tiny geometric detail. We present an approach to construct continuous level of detail (LOD) ...
Qingqiong Deng, Xiaopeng Zhang, Sebastien Gay, Xia...
FMCAD
2007
Springer
15 years 4 months ago
Global Optimization of Compositional Systems
—Embedded systems typically consist of a composition of a set of hardware and software IP modules. Each module is heavily optimized by itself. However, when these modules are com...
Fadi A. Zaraket, John Pape, Adnan Aziz, Margarida ...
ECCV
2002
Springer
15 years 11 months ago
Probabilistic and Voting Approaches to Cue Integration for Figure-Ground Segmentation
This paper describes techniques for fusing the output of multiple cues to robustly and accurately segment foreground objects from the background in image sequences. Two different m...
Eric Hayman, Jan-Olof Eklundh