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» Comparing Object-Oriented Database Systems Benchmark Methods
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109
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CLOUD
2010
ACM
15 years 5 months ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
110
Voted
CODES
2006
IEEE
15 years 6 months ago
Hardware assisted pre-emptive control flow checking for embedded processors to improve reliability
Reliability in embedded processors can be improved by control flow checking and such checking can be conducted using software or hardware. Proposed software-only approaches suffe...
Roshan G. Ragel, Sri Parameswaran
110
Voted
JAIR
2008
118views more  JAIR 2008»
15 years 16 days ago
On the Use of Automatically Acquired Examples for All-Nouns Word Sense Disambiguation
This article focuses on Word Sense Disambiguation (WSD), which is a Natural Language Processing task that is thought to be important for many Language Technology applications, suc...
David Martínez, Oier Lopez de Lacalle, Enek...
188
Voted
ICDE
2006
IEEE
162views Database» more  ICDE 2006»
16 years 1 months ago
Efficient Batch Top-k Search for Dictionary-based Entity Recognition
We consider the problem of speeding up Entity Recognition systems that exploit existing large databases of structured entities to improve extraction accuracy. These systems requir...
Amit Chandel, P. C. Nagesh, Sunita Sarawagi
ICML
2004
IEEE
16 years 1 months ago
Boosting margin based distance functions for clustering
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall