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ICCV
2003
IEEE
14 years 9 months ago
A Class of Photometric Invariants: Separating Material from Shape and Illumination
We derive a new class of photometric invariants that can be used for a variety of vision tasks including lighting invariant material segmentation, change detection and tracking, a...
Srinivasa G. Narasimhan, Visvanathan Ramesh, Shree...
CCR
2008
76views more  CCR 2008»
13 years 7 months ago
WebClass: adding rigor to manual labeling of traffic anomalies
Despite the flurry of anomaly-detection papers in recent years, effective ways to validate and compare proposed solutions have remained elusive. We argue that evaluating anomaly d...
Haakon Ringberg, Augustin Soule, Jennifer Rexford
MICCAI
2010
Springer
13 years 6 months ago
Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
Vincent Michel, Evelyn Eger, Christine Keribin, Be...
INFOCOM
1993
IEEE
13 years 11 months ago
A Generalized Processor Sharing Approach to Flow Control in Integrated Services Networks: The Multiple Node Case
Worst-casebounds on delay and backlog are derived for leaky bucket constrained sessions in arbitrary topology networks of Generalized Processor Sharing (GPS) 10] servers. The inhe...
Abhay K. Parekh, Robert G. Gallager
TSMC
2008
102views more  TSMC 2008»
13 years 7 months ago
Generalized Cost-Function-Based Forecasting for Periodically Measured Nonstationary Traffic
Abstract-- In this paper, we address the issue of forecasting for periodically measured nonstationary traffic based on statistical time series modeling. Often with time series base...
Balaji Krithikaivasan, Yong Zeng, Deep Medhi