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» Selectivity Estimation using Probabilistic Models
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IWANN
2007
Springer
15 years 8 months ago
Towards the Integration of a Bioprofile in Ocular Melanoma
Approximately 50% of all patients with intraocular melanoma die of metastatic disease, despite successful treatment of the primary tumour. The main factors associated with mortalit...
Azzam F. Taktak, Antonio Eleuteri, Christian Setzk...
116
Voted
BMCBI
2007
128views more  BMCBI 2007»
15 years 2 months ago
A Bayesian nonparametric method for prediction in EST analysis
Background: Expressed sequence tags (ESTs) analyses are a fundamental tool for gene identification in organisms. Given a preliminary EST sample from a certain library, several sta...
Antonio Lijoi, Ramsés H. Mena, Igor Prü...
TSP
2010
14 years 9 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...
ICASSP
2008
IEEE
15 years 8 months ago
Hierarchical lane detection for different types of roads
This paper presents a hierarchical lane detection system with the ability to deal with both structured and unstructured roads. The proposed system classifies the environment first...
Hsu-Yung Cheng, Chih-Chang Yu, Chien-Cheng Tseng, ...
102
Voted
PR
2007
96views more  PR 2007»
15 years 1 months ago
Weighted and robust learning of subspace representations
A reliable system for visual learning and recognition should enable a selective treatment of individual parts of input data and should successfully deal with noise and occlusions....
Danijel Skocaj, Ales Leonardis, Horst Bischof