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» Discovering Classification from Data of Multiple Sources
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CVPR
2003
IEEE
16 years 3 months ago
Using Multiple Cues for Hand Tracking and Model Refinement
We present a model based approach to the integration of multiple cues for tracking high degree of freedom articulated motions and model refinement. We then apply it to the problem...
Shan Lu, Dimitris N. Metaxas, Dimitris Samaras, Jo...
125
Voted
DAWAK
2009
Springer
15 years 8 months ago
Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data
The appropriate choice of a method for imputation of missing data becomes especially important when the fraction of missing values is large and the data are of mixed type. The prop...
Vadim V. Ayuyev, Joseph Jupin, Philip W. Harris, Z...
91
Voted
CORR
2008
Springer
72views Education» more  CORR 2008»
15 years 1 months ago
Lossless Compression with Security Constraints
Secure distributed data compression in the presence of an eavesdropper is explored. Two correlated sources that need to be reliably transmitted to a legitimate receiver are availab...
Deniz Gündüz, Elza Erkip, H. Vincent Poo...
KDD
2001
ACM
163views Data Mining» more  KDD 2001»
16 years 2 months ago
Learning to recognize brain specific proteins based on low-level features from on-line prediction servers
During the last decade, the area of bioinformatics has produced an overwhelming amount of data, with the recently published draft of the human genome being the most prominent exam...
Henrik Boström, Joakim Cöster, Lars Aske...
219
Voted
BMCBI
2006
140views more  BMCBI 2006»
15 years 1 months ago
MACSIMS : multiple alignment of complete sequences information management system
Background: In the post-genomic era, systems-level studies are being performed that seek to explain complex biological systems by integrating diverse resources from fields such as...
Julie D. Thompson, Arnaud Muller, Andrew M. Waterh...