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SGAI
2004
Springer
15 years 10 months ago
Interactive Selection of Visual Features through Reinforcement Learning
We introduce a new class of Reinforcement Learning algorithms designed to operate in perceptual spaces containing images. They work by classifying the percepts using a computer vi...
Sébastien Jodogne, Justus H. Piater
181
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SCALESPACE
2001
Springer
15 years 9 months ago
Bayesian Object Detection through Level Curves Selection
Bayesian statistical theory is a convenient way of taking a priori information into consideration when inference is made from images. In Bayesian image detection, the a priori dist...
Charles Kervrann
APCSAC
2000
IEEE
15 years 9 months ago
Cost/Performance Tradeoff of n-Select Square Root Implementations
Hardware square-root units require large numbers of gates even for iterative implementations. In this paper, we present four low-cost high-performance fullypipelined n-select impl...
Wanming Chu, Yamin Li
CIKM
1999
Springer
15 years 9 months ago
Training a Selection Function for Extraction
In this paper we compare performance of several heuristics in generating informative generic/query-oriented extracts for newspaper articles in order to learn how topic prominence ...
Chin-Yew Lin
WCNC
2010
IEEE
15 years 9 months ago
Selection of Repetition Codes for MAC in Vehicular Ad Hoc Networks
—In the context of vehicular safety and entertainment applications, we focus on the design of a reliable medium access control scheme. Each vehicle is willing to form a network a...
Ali Honarvar, Shahrokh Valaee