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IAAI
2003
13 years 10 months ago
A Probabilistic Vehicle Diagnostic System Using Multiple Models
In addition to being accurate, it is important that diagnostic systems for use in automobiles also have low development and hardware costs. Model-based methods have shown promise ...
Matthew L. Schwall, J. Christian Gerdes, Bernard B...
ML
2008
ACM
13 years 8 months ago
A bias/variance decomposition for models using collective inference
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
ICIP
2004
IEEE
14 years 10 months ago
Robust ego-motion estimation and 3d model refinement using depth based parallax model
We present an iterative algorithm for robustly estimating the egomotion and refining and updating a coarse, noisy and partial depth map using a depth based parallax model and brig...
Amit K. Agrawal, Rama Chellappa
PE
2010
Springer
212views Optimization» more  PE 2010»
13 years 3 months ago
Modeling TCP throughput: An elaborated large-deviations-based model and its empirical validation
In today's Internet, a large part of the traffic is carried using the TCP transport protocol. Characterization of the variations of TCP traffic is thus a major challenge, bot...
Patrick Loiseau, Paulo Gonçalves, Julien Ba...
ICCAD
2001
IEEE
113views Hardware» more  ICCAD 2001»
14 years 5 months ago
Compact Modeling and SPICE-Based Simulation for Electrothermal Analysis of Multilevel ULSI Interconnects
This paper presents both compact analytical models and fast SPICE based 3-D electro-thermal simulation methodology to characterize thermal effects due to Joule heating in high per...
TingYen Chiang, Kaustav Banerjee, Krishna Saraswat