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JIIS
2008
89views more  JIIS 2008»
15 years 6 months ago
A note on phase transitions and computational pitfalls of learning from sequences
An ever greater range of applications call for learning from sequences. Grammar induction is one prominent tool for sequence learning, it is therefore important to know its proper...
Antoine Cornuéjols, Michèle Sebag
NN
2002
Springer
105views Neural Networks» more  NN 2002»
15 years 6 months ago
The computational role of dopamine D1 receptors in working memory
The prefrontal cortex (PFC) is essential for working memory, which is the ability to transiently hold and manipulate information necessary for generating forthcoming action. PFC n...
Daniel Durstewitz, Jeremy K. Seamans
JSW
2008
127views more  JSW 2008»
15 years 6 months ago
Interactive Traveling Assistant based on Agent Technologies and Mobile Computing
Many people love traveling for entertainment nowadays. In a journey, visitors often produce digital multimedia resources by capturing images, audios and videos. With digital device...
Han-Bin Chang, Hsuan-Pu Chang, Jason C. Hung
INFOCOM
2010
IEEE
15 years 4 months ago
On Computing Compression Trees for Data Collection in Wireless Sensor Networks
We address the problem of efficiently gathering correlated data from a wireless sensor network, with the aim of designing algorithms with provable optimality guarantees, and unders...
Jian Li, Amol Deshpande, Samir Khuller
ECCV
2006
Springer
16 years 8 months ago
Learning Compositional Categorization Models
Abstract. This contribution proposes a compositional approach to visual object categorization of scenes. Compositions are learned from the Caltech 101 database1 intermediate abstra...
Björn Ommer, Joachim M. Buhmann