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ICASSP
2009
IEEE
14 years 7 months ago
Target detection using incremental learning on single-trial evoked response
The human neural responses associated with cognitive events, referred as event related potentials (ERPs), can provide reliable inference for target image detection. Incremental le...
Yonghong Huang, Deniz Erdogmus, Misha Pavel, Kenne...
VLDB
2004
ACM
108views Database» more  VLDB 2004»
15 years 3 months ago
QStream: Deterministic Querying of Data Streams
Current developments in processing data streams are based on the best-effort principle and therefore not adequate for many application areas. When sensor data is gathered by inte...
Sven Schmidt, Henrike Berthold, Wolfgang Lehner
JCST
2008
121views more  JCST 2008»
14 years 9 months ago
Clustering Text Data Streams
Abstract Clustering text data streams is an important issue in data mining community and has a number of applications such as news group filtering, text crawling, document organiza...
Yubao Liu, Jiarong Cai, Jian Yin, Ada Wai-Chee Fu
SIGMOD
2010
ACM
207views Database» more  SIGMOD 2010»
14 years 10 months ago
Leveraging spatio-temporal redundancy for RFID data cleansing
Radio Frequency Identification (RFID) technologies are used in many applications for data collection. However, raw RFID readings are usually of low quality and may contain many an...
Haiquan Chen, Wei-Shinn Ku, Haixun Wang, Min-Te Su...
ICDM
2007
IEEE
196views Data Mining» more  ICDM 2007»
15 years 4 months ago
Diagnosing Similarity of Oscillation Trends in Time Series
Sensor networks have increased the amount and variety of temporal data available, requiring the definition of new techniques for data mining. Related research typically addresses...
Leonardo E. Mariote, Claudia Bauzer Medeiros, Rica...