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» Minimization of an M-convex Function
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PAKDD
2004
ACM
96views Data Mining» more  PAKDD 2004»
14 years 2 months ago
Spectral Energy Minimization for Semi-supervised Learning
The use of unlabeled data to aid classification is important as labeled data is often available in limited quantity. Instead of utilizing training samples directly into semi-super...
Chun Hung Li, Zhi-Li Wu
ISCAS
2003
IEEE
83views Hardware» more  ISCAS 2003»
14 years 2 months ago
An Integrated Framework of Design Optimization and Space Minimization for DSP applications
This paper presents an Integrated Framework of Design Optimization and Space Minimization (IDOM) for generating the minimum number of functional units with schedule length and mem...
Qingfeng Zhuge, Edwin Hsing-Mean Sha, Chantana Cha...
TSP
2010
13 years 3 months ago
Independent component analysis by entropy bound minimization
A novel (differential) entropy estimator is introduced where the maximum entropy bound is used to approximate the entropy given the observations, and is computed using a numerical ...
Xi-Lin Li, Tülay Adali
CORR
2011
Springer
157views Education» more  CORR 2011»
13 years 27 days ago
Large-Scale Convex Minimization with a Low-Rank Constraint
We address the problem of minimizing a convex function over the space of large matrices with low rank. While this optimization problem is hard in general, we propose an efficient...
Shai Shalev-Shwartz, Alon Gonen, Ohad Shamir
CIE
2010
Springer
14 years 1 months ago
The Peirce Translation and the Double Negation Shift
We develop applications of selection functions to proof theory and computational extraction of witnesses from proofs in classical analysis. The main novelty is a translation of cla...
Martín Hötzel Escardó, Paulo Ol...