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ECAI
2004
Springer
15 years 3 months ago
A Generalized Quadratic Loss for Support Vector Machines
The standard SVM formulation for binary classification is based on the Hinge loss function, where errors are considered not correlated. Due to this, local information in the featu...
Filippo Portera, Alessandro Sperduti
CVPR
2012
IEEE
13 years 12 days ago
Unsupervised feature learning framework for no-reference image quality assessment
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
Peng Ye, Jayant Kumar, Le Kang, David S. Doermann
TSE
1998
116views more  TSE 1998»
14 years 9 months ago
A Framework-Based Approach to the Development of Network-Aware Applications
— Modern networks provide a QoS (quality of service) model to go beyond best-effort services, but current QoS models are oriented towards low-level network parameters (e.g., band...
Jürg Bolliger, Thomas R. Gross
HPDC
2009
IEEE
15 years 4 months ago
Exploring data reliability tradeoffs in replicated storage systems
This paper explores the feasibility of a cost-efficient storage architecture that offers the reliability and access performance characteristics of a high-end system. This architec...
Abdullah Gharaibeh, Matei Ripeanu
ICSE
2010
IEEE-ACM
15 years 2 months ago
Adaptive bug isolation
Statistical debugging uses lightweight instrumentation and statistical models to identify program behaviors that are strongly predictive of failure. However, most software is most...
Piramanayagam Arumuga Nainar, Ben Liblit