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IJCNN
2006
IEEE
15 years 10 months ago
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...
BMCBI
2005
117views more  BMCBI 2005»
15 years 4 months ago
Differentiation of regions with atypical oligonucleotide composition in bacterial genomes
Background: Complete sequencing of bacterial genomes has become a common technique of present day microbiology. Thereafter, data mining in the complete sequence is an essential st...
Oleg N. Reva, Burkhard Tümmler
ICAPR
2005
Springer
15 years 10 months ago
Mathematical Features for Recognizing Preference in Sub-saharan African Traditional Rhythm Timelines
The heart of an African rhythm is the timeline, a beat that cyclically repeats thoughout a piece, and is often performed with an iron bell that all performers can hear. Such rhythm...
Godfried T. Toussaint
MM
2004
ACM
212views Multimedia» more  MM 2004»
15 years 9 months ago
Nonparametric motion model
Motion information is a powerful cue for visual perception. In the context of video indexing and retrieval, motion content serves as a useful source for compact video representati...
Ling-Yu Duan, Min Xu, Qi Tian, Changsheng Xu

Book
5396views
17 years 3 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li