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127
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NIPS
2004
15 years 5 months ago
Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance Imaging
We study a method of optimal data-driven aggregation of classifiers in a convex combination and establish tight upper bounds on its excess risk with respect to a convex loss funct...
Vladimir Koltchinskii, Manel Martínez-Ram&o...
126
Voted
ISCAS
2006
IEEE
105views Hardware» more  ISCAS 2006»
15 years 10 months ago
A new Spice-oriented frequency-domain optimization technique
— There are many kinds of optimization techniques for designing high-performance RF circuits. In this paper, we propose a new frequency-domain Spice-oriented optimization algorit...
Masayoshi Oda, Yoshihiro Yamagami, Yoshifumi Nishi...
ICDAR
2003
IEEE
15 years 9 months ago
Optimizing the Number of States, Training Iterations and Gaussians in an HMM-based Handwritten Word Recognizer
In off-line handwriting recognition, classifiers based on hidden Markov models (HMMs) have become very popular. However, while there exist well-established training algorithms, s...
Simon Günter, Horst Bunke
131
Voted
ICCAD
2000
IEEE
74views Hardware» more  ICCAD 2000»
15 years 8 months ago
Simultaneous Gate Sizing and Fanout Optimization
This paper describes an algorithm for simultaneous gate sizing and fanout optimization along the timing-critical paths in a circuit. First, a continuous-variable delay model that ...
Wei Chen, Cheng-Ta Hsieh, Massoud Pedram
ISBI
2004
IEEE
16 years 4 months ago
Optimal Variable-Density k-Space Sampling in MRI
Magnetic resonance imaging (MRI) is often times limited by scan time. To reduce scan time, there have been various efforts to reduce the number of sampling points. In most cases, ...
Jin Hyung Lee, Dwight G. Nishimura, Brad Osgood