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» Novel Observation Model for Probabilistic Object Tracking
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JCB
2000
146views more  JCB 2000»
13 years 7 months ago
Bayesian Segmentation of Protein Secondary Structure
We present a novel method for predicting the secondary structure of a protein from its amino acid sequence. Most existing methods predict each position in turn based on a local wi...
Scott C. Schmidler, Jun S. Liu, Douglas L. Brutlag
DMIN
2006
141views Data Mining» more  DMIN 2006»
13 years 9 months ago
Extracting Forensic Explanation from Intrusion Alerts
Since it is desirable for an intrusion detection system to be operated with the real time performance, it is not unusual for an intrusion detection engine to perform a "lazy ...
Bon Sy, Negmat Mullodzhanov
AAAI
2010
13 years 9 months ago
Gaussian Mixture Model with Local Consistency
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
Jialu Liu, Deng Cai, Xiaofei He
HLK
2003
IEEE
14 years 1 months ago
Bayesian Reconstruction of 3D Shapes and Scenes From A Single Image
It’s common experience for human vision to perceive full 3D shape and scene from a single 2D image with the occluded parts “filled-in” by prior visual knowledge. In this pa...
Feng Han, Song Chun Zhu
CVPR
2012
IEEE
11 years 10 months ago
Top-down visual saliency via joint CRF and dictionary learning
Top-down visual saliency facilities object localization by providing a discriminative representation of target objects and a probability map for reducing the search space. In this...
Jimei Yang, Ming-Hsuan Yang