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ICVGIP
2004
13 years 10 months ago
A Robust Nonparametric Estimation Framework for Implicit Image Models
Robust model fitting is important for computer vision tasks due to the occurrence of multiple model instances, and, unknown nature of noise. The linear errors-in-variables (EIV) m...
Himanshu Arora, Maneesh Singh, Narendra Ahuja
GECCO
2008
Springer
147views Optimization» more  GECCO 2008»
13 years 10 months ago
On selecting the best individual in noisy environments
In evolutionary algorithms, the typical post-processing phase involves selection of the best-of-run individual, which becomes the final outcome of the evolutionary run. Trivial f...
Wojciech Jaskowski, Wojciech Kotlowski
BIOSYSTEMS
2007
52views more  BIOSYSTEMS 2007»
13 years 9 months ago
The genotypic complexity of evolved fault-tolerant and noise-robust circuits
Noise and component failure is an increasingly difficult problem in modern electronic design. Bioinspired techniques is one approach that is applied in an effort to solve such is...
Morten Hartmann, Pauline C. Haddow, Per Kristian L...
CORR
2007
Springer
82views Education» more  CORR 2007»
13 years 9 months ago
One-bit Distributed Sensing and Coding for Field Estimation in Sensor Networks
Abstract—This paper formulates and studies a general distributed field reconstruction problem using a dense network of noisy one-bit randomized scalar quantizers in the presence...
Ye Wang, Prakash Ishwar, Venkatesh Saligrama
TASLP
2008
131views more  TASLP 2008»
13 years 9 months ago
Histogram-Based Quantization for Robust and/or Distributed Speech Recognition
Abstract--In a distributed speech recognition (DSR) framework, the speech features are quantized and compressed at the client and recognized at the server. However, recognition acc...
Chia-Yu Wan, Lin-Shan Lee