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AUTOMATICA
2005
86views more  AUTOMATICA 2005»
14 years 9 months ago
Sensitivity shaping with degree constraint by nonlinear least-squares optimization
This paper presents a new approach to shaping of the frequency response of the sensitivity function. In this approach, a desired frequency response is assumed to be specified at a...
Ryozo Nagamune, Anders Blomqvist
ICDAR
2011
IEEE
13 years 9 months ago
Fast Key-Word Searching via Embedding and Active-DTW
—In this paper we present a novel approach for fast search of handwritten Arabic word-parts within large lexicons. The algorithm runs through three steps to achieve the required ...
Raid Saabni, Alex Bronstein
MICCAI
2003
Springer
15 years 10 months ago
Caudate Shape Discrimination in Schizophrenia Using Template-Free Non-parametric Tests
This paper describes shape analysis of the caudate nucleus structure in a large schizophrenia study (30 controls, 60 schizophrenics). Although analysis of the caudate has not drawn...
Y. Sampath K. Vetsa, Martin Styner, Stephen M. Piz...
ICRA
2007
IEEE
128views Robotics» more  ICRA 2007»
15 years 4 months ago
Adaptive Play Q-Learning with Initial Heuristic Approximation
Abstract— The problem of an effective coordination of multiple autonomous robots is one of the most important tasks of the modern robotics. In turn, it is well known that the lea...
Andriy Burkov, Brahim Chaib-draa
ICONIP
2007
14 years 11 months ago
Principal Component Analysis for Sparse High-Dimensional Data
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
Tapani Raiko, Alexander Ilin, Juha Karhunen