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ECIR
2010
Springer
15 years 8 months ago
A Framework for Evaluating Automatic Image Annotation Algorithms
Several Automatic Image Annotation (AIA) algorithms have been introduced recently, which have been found to outperform previous models. However, each one of them has been evaluated...
Konstantinos Athanasakos, Vassilios Stathopoulos, ...
COMCOM
2008
131views more  COMCOM 2008»
15 years 6 months ago
CORA: Collaborative Opportunistic Recovery Algorithm for loss controlled, delay bounded ad hoc multicast
In this paper, we present Collaborative Opportunistic Recovery Algorithm (CORA) designed for multicast multimedia applications with low loss as well as latency constraints in ad h...
Yunjung Yi, Jiejun Kong, Mario Gerla, Joon-Sang Pa...
NIPS
2004
15 years 8 months ago
Brain Inspired Reinforcement Learning
Successful application of reinforcement learning algorithms often involves considerable hand-crafting of the necessary non-linear features to reduce the complexity of the value fu...
François Rivest, Yoshua Bengio, John Kalask...
MVA
1992
127views Computer Vision» more  MVA 1992»
15 years 7 months ago
A Parallel Topological Map for Image Segmentation
We present a new algorithm for topological feature mapping. It is compared to other known feature mapping algorithmslike that proposed by Kohonen or Bertsch. The main difference t...
Dinu Scheppelmann, Jochen Frey, Manuela Schäf...
GECCO
2004
Springer
105views Optimization» more  GECCO 2004»
16 years 1 days ago
An Enhanced Genetic Algorithm for DNA Sequencing by Hybridization with Positive and Negative Errors
Abstract. This paper describes a genetic algorithm for the DNA sequencing problem. The algorithm allows the input spectrum to contain both positive and negative errors as could be ...
Thang Nguyen Bui, Waleed A. Youssef