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CVPR
2010
IEEE
15 years 7 months ago
Robust RVM regression using sparse outlier model
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
173
Voted
CVPR
2010
IEEE
16 years 2 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
WCNC
2010
IEEE
15 years 5 months ago
Robust Relay Precoder Design for MIMO-Relay Networks
Abstract—In this paper, we consider a robust design of MIMOrelay precoder and receive filter for the destination nodes in a non-regenerative multiple-input multiple-output (MIMO...
P. Ubaidulla, Ananthanarayanan Chockalingam
CPAIOR
2006
Springer
15 years 10 months ago
An Efficient Hybrid Strategy for Temporal Planning
Temporal planning (TP) is notoriously difficult because it requires to solve a propositional STRIPS planning problem with temporal constraints. In this paper, we propose an efficie...
Zhao Xing, Yixin Chen, Weixiong Zhang
218
Voted
BIRTHDAY
2008
Springer
15 years 8 months ago
SPREADSPACES: Mathematically-Intelligent Graphical Spreadsheets
Abstract. Starting from existing spreadsheet software, like Lotus 1-23R , ExcelR , or Spreadsheet 2000R , we propose a sequence of enhancements to fully integrate constraint-based ...
Nachum Dershowitz, Claude Kirchner