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CVPR
2000
IEEE
16 years 4 months ago
A General Method for Errors-in-Variables Problems in Computer Vision
The Errors-in-Variables (EIV) model from statistics is often employed in computer vision thoughonlyrarely under this name. In an EIV model all the measurements are corrupted by no...
Bogdan Matei, Peter Meer
IWANN
2001
Springer
15 years 6 months ago
Repeated Measures Multiple Comparison Procedures Applied to Model Selection in Neural Networks
One of the main research concern in neural networks is to find the appropriate network size in order to minimize the trade-off between overfitting and poor approximation. In this ...
Elisa Guerrero Vázquez, Andrés Y&aac...
NIPS
2004
15 years 3 months ago
Learning first-order Markov models for control
First-order Markov models have been successfully applied to many problems, for example in modeling sequential data using Markov chains, and modeling control problems using the Mar...
Pieter Abbeel, Andrew Y. Ng
127
Voted
TSP
2008
147views more  TSP 2008»
15 years 1 months ago
Low-Complexity MIMO Multiuser Receiver: A Joint Antenna Detection Scheme for Time-Varying Channels
Abstract--This paper deals with the uplink of a wireless multiple-input multiple-output (MIMO) communication system based on multicarrier (MC) code division multiple access (CDMA)....
Charlotte Dumard, Thomas Zemen
ISLPED
1997
ACM
114views Hardware» more  ISLPED 1997»
15 years 6 months ago
Cycle-accurate macro-models for RT-level power analysis
 In this paper we present a methodology and techniques for generating cycle-accurate macro-models for RTlevel power analysis. The proposed macro-model predicts not only...
Qinru Qiu, Qing Wu, Massoud Pedram, Chih-Shun Ding