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MTA
2000
165views more  MTA 2000»
15 years 2 months ago
Approximating Content-Based Object-Level Image Retrieval
Object-level image retrieval is an active area of research. Given an image, a human observerdoesnot see randomdots of colors. Rather,he she observesfamiliarobjectsin the image. The...
Wynne Hsu, Tat-Seng Chua, Hung Keng Pung
SIAMCO
2002
71views more  SIAMCO 2002»
15 years 1 months ago
Rate of Convergence for Constrained Stochastic Approximation Algorithms
There is a large literature on the rate of convergence problem for general unconstrained stochastic approximations. Typically, one centers the iterate n about the limit point then...
Robert Buche, Harold J. Kushner
GLOBECOM
2007
IEEE
15 years 8 months ago
Gaussian Approximations for Carrier Sense Modeling in Wireless Ad Hoc Networks
— Physical carrier sense for wireless multihop networks has attracted a certain degree of attention since it is a simple yet important mechanism for distributed channel access. S...
Francesco Rossetto, Michele Zorzi
RSCTC
2004
Springer
138views Fuzzy Logic» more  RSCTC 2004»
15 years 7 months ago
A Parallel Approximate Rule Extracting Algorithm Based on the Improved Discernibility Matrix
A parallel rule-extracting algorithm based on the improved discernibility matrix [2] is proposed, by this way, a large amount of raw data can be divided into some small portions to...
Yong Liu, Congfu Xu, Yunhe Pan
SCALESPACE
1999
Springer
15 years 6 months ago
A Geometric Functional for Derivatives Approximation
We develop on estimation method, for the derivative field of an image based on Bayesian approach which is formulated in a geometric way. The Maximum probability configuration of ...
Nir A. Sochen, Robert M. Haralick, Yehoshua Y. Zee...