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» On the Identification of a Class of Linear Models
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JCB
2002
70views more  JCB 2002»
14 years 9 months ago
Strong Feature Sets from Small Samples
For small samples, classi er design algorithms typically suffer from over tting. Given a set of features, a classi er must be designed and its error estimated. For small samples, ...
Seungchan Kim, Edward R. Dougherty, Junior Barrera...
88
Voted
PE
2010
Springer
102views Optimization» more  PE 2010»
14 years 8 months ago
Extracting state-based performance metrics using asynchronous iterative techniques
Solution of large sparse linear fixed-point problems lies at the heart of many important performance analysis calculations. These calculations include steady-state, transient and...
Douglas V. de Jager, Jeremy T. Bradley
CVPR
2009
IEEE
16 years 4 months ago
Learning General Optical Flow Subspaces for Egomotion Estimation and Detection of Motion Anomalies
This paper deals with estimation of dense optical flow and ego-motion in a generalized imaging system by exploiting probabilistic linear subspace constraints on the flow. We dea...
Richard Roberts (Georgia Institute of Technology),...
HPCA
2003
IEEE
15 years 10 months ago
Memory System Behavior of Java-Based Middleware
Java-based middleware, and application servers in particular, are rapidly gaining importance as a new class of workload for commercial multiprocessor servers. SPEC has recognized ...
Martin Karlsson, Kevin E. Moore, Erik Hagersten, D...
83
Voted
INFOCOM
2009
IEEE
15 years 4 months ago
Delay-Optimal Opportunistic Scheduling and Approximations: The Log Rule
—This paper considers the design of opportunistic packet schedulers for users sharing a time-varying wireless channel from the performance and the robustness points of view. Firs...
Bilal Sadiq, Seung Jun Baek, Gustavo de Veciana