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» Iterative Learning Control - Monotonicity and Optimization
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GECCO
2010
Springer
181views Optimization» more  GECCO 2010»
15 years 2 months ago
Evolving neural networks in compressed weight space
We propose a new indirect encoding scheme for neural networks in which the weight matrices are represented in the frequency domain by sets of Fourier coefficients. This scheme exp...
Jan Koutnik, Faustino J. Gomez, Jürgen Schmid...
AAAI
2008
15 years 4 days ago
Strategyproof Classification under Constant Hypotheses: A Tale of Two Functions
We consider the following setting: a decision maker must make a decision based on reported data points with binary labels. Subsets of data points are controlled by different selfi...
Reshef Meir, Ariel D. Procaccia, Jeffrey S. Rosens...
TIP
2011
169views more  TIP 2011»
14 years 4 months ago
From Local Pixel Structure to Global Image Super-Resolution: A New Face Hallucination Framework
Abstract—We have developed a new face hallucination framework termed from local pixel structure to global image super-resolution (LPS-GIS). Based on the assumption that two simil...
Yu Hu, Kin-Man Lam, Guoping Qiu, Tingzhi Shen
PAMI
2007
186views more  PAMI 2007»
14 years 9 months ago
Value-Directed Human Behavior Analysis from Video Using Partially Observable Markov Decision Processes
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
Jesse Hoey, James J. Little
ECCV
2008
Springer
15 years 11 months ago
Face Alignment Via Component-Based Discriminative Search
In this paper, we propose a component-based discriminative approach for face alignment without requiring initialization1 . Unlike many approaches which locally optimize in a small ...
Lin Liang, Rong Xiao, Fang Wen, Jian Sun