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» Class Separability in Spaces Reduced By Feature Selection
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CORR
2006
Springer
127views Education» more  CORR 2006»
13 years 8 months ago
Space Division Multiple Access with a Sum Feedback Rate Constraint
On a multiantenna broadcast channel, simultaneous transmission to multiple users by joint beamforming and scheduling is capable of achieving high throughput, which grows double log...
Kaibin Huang, Robert W. Heath Jr., Jeffrey G. Andr...
MCS
2000
Springer
14 years 10 days ago
Analysis of a Fusion Method for Combining Marginal Classifiers
The use of multiple features by a classifier often leads to a reduced probability of error, but the design of an optimal Bayesian classifier for multiple features is dependent on t...
Mark D. Happel, Peter Bock
BMCBI
2010
133views more  BMCBI 2010»
13 years 9 months ago
Integrated prediction of one-dimensional structural features and their relationships with conformational flexibility in helical
Background: Many structural properties such as solvent accessibility, dihedral angles and helix-helix contacts can be assigned to each residue in a membrane protein. Independent s...
Shandar Ahmad, Yumlembam Hemjit Singh, Yogesh Paud...
FGR
2011
IEEE
288views Biometrics» more  FGR 2011»
13 years 15 days ago
Hierarchical CRF with product label spaces for parts-based models
— Non-rigid object detection is a challenging open research problem in computer vision. It is a critical part in many applications such as image search, surveillance, humancomput...
Gemma Roig, Xavier Boix Bosch, Fernando De la Torr...
BMCBI
2006
110views more  BMCBI 2006»
13 years 8 months ago
Bias in error estimation when using cross-validation for model selection
Background: Cross-validation (CV) is an effective method for estimating the prediction error of a classifier. Some recent articles have proposed methods for optimizing classifiers...
Sudhir Varma, Richard Simon