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» Refining Goal Models by Evaluating System Behaviour
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CIVR
2008
Springer
127views Image Analysis» more  CIVR 2008»
15 years 5 months ago
Performance evaluation of relevance feedback methods
In this paper we review the evaluation of relevance feedback methods for content-based image retrieval systems. We start out by presenting an overview of current common practice, ...
Mark J. Huiskes, Michael S. Lew
136
Voted
ICIP
2003
IEEE
16 years 5 months ago
Evaluation strategies for automatic linguistic indexing of pictures
With the rapid technological advances in machine learning and data mining, it is now possible to train computers with hundreds of semantic concepts for the purpose of annotating i...
James Ze Wang, Jia Li, Sui Ching Lin
NN
2004
Springer
102views Neural Networks» more  NN 2004»
15 years 9 months ago
A Quantitative Evaluation of a Bio-inspired Sound Segregation Technique for Two- and Three-Source Mixtures
A sound source separation technique based on a bio-inspired neural network, capable of functioning in more than two-source mixtures, is proposed. Separation results are compared wi...
Ramin Pichevar, Jean Rouat
DATE
2004
IEEE
129views Hardware» more  DATE 2004»
15 years 7 months ago
On the Design and Verification Methodology of the Look-Aside Interface
In this paper, we present a technique to design and verify the Look-Aside (LA-1) Interface standard used in network processors. Our design flow includes several refinements starti...
Ali Habibi, Asif Iqbal Ahmed, Otmane Aït Moha...
145
Voted
JCP
2008
139views more  JCP 2008»
15 years 3 months ago
Agent Learning in Relational Domains based on Logical MDPs with Negation
In this paper, we propose a model named Logical Markov Decision Processes with Negation for Relational Reinforcement Learning for applying Reinforcement Learning algorithms on the ...
Song Zhiwei, Chen Xiaoping, Cong Shuang