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EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
14 years 2 months ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...
SIGECOM
2004
ACM
129views ECommerce» more  SIGECOM 2004»
14 years 2 months ago
Evaluating example-based search tools
A crucial element in consumer electronic commerce is a catalog tool that not only finds the product for the user, but also convinces him that he has made the best choice. To do th...
Pearl Huan Z. Pu, Pratyush Kumar
ICMCS
2006
IEEE
131views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Self-Supervised Learning for Robust Video Indexing
The performance of video analysis and indexing algorithms strongly depends on the type, content and recording characteristics of the analyzed video. Current video indexing approac...
Ralph Ewerth, Bernd Freisleben
BMCBI
2006
147views more  BMCBI 2006»
13 years 8 months ago
The NeuARt II system: a viewing tool for neuroanatomical data based on published neuroanatomical atlases
Background: Anatomical studies of neural circuitry describing the basic wiring diagram of the brain produce intrinsically spatial, highly complex data of great value to the neuros...
Gully A. P. C. Burns, Wei-Cheng Cheng, Richard H. ...
SIGMOD
2004
ACM
209views Database» more  SIGMOD 2004»
14 years 8 months ago
MAIDS: Mining Alarming Incidents from Data Streams
Real-time surveillance systems, network and telecommunication systems, and other dynamic processes often generate tremendous (potentially infinite) volume of stream data. Effectiv...
Y. Dora Cai, David Clutter, Greg Pape, Jiawei Han,...