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TIP
2010
155views more  TIP 2010»
14 years 8 months ago
Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Xiaofei He
TOMACS
2010
79views more  TOMACS 2010»
14 years 4 months ago
A stochastic approximation method with max-norm projections and its applications to the Q-learning algorithm
In this paper, we develop a stochastic approximation method to solve a monotone estimation problem and use this method to enhance the empirical performance of the Q-learning algor...
Sumit Kunnumkal, Huseyin Topaloglu
ICASSP
2011
IEEE
14 years 1 months ago
Acceleration of adaptive proximal forward-backward splitting method and its application to sparse system identification
In this paper, we propose an acceleration technique of the adaptive filtering scheme called adaptive proximal forward-backward splitting method. For accelerating the convergence ...
Masao Yamagishi, Masahiro Yukawa, Isao Yamada
ICDE
2002
IEEE
121views Database» more  ICDE 2002»
15 years 11 months ago
Similarity Flooding: A Versatile Graph Matching Algorithm and Its Application to Schema Matching
Matching elements of two data schemas or two data instances plays a key role in data warehousing, e-business, or even biochemical applications. In this paper we present a matching...
Sergey Melnik, Hector Garcia-Molina, Erhard Rahm
ICCAD
2004
IEEE
111views Hardware» more  ICCAD 2004»
15 years 6 months ago
A new incremental placement algorithm and its application to congestion-aware divisor extraction
— This paper presents two contributions. The first is an incremental placement algorithm for placement-aware logic synthesis along with a proof of optimality. The algorithm can ...
Satrajit Chatterjee, Robert K. Brayton