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SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
15 years 5 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...
217
Voted
VLDB
2007
ACM
131views Database» more  VLDB 2007»
16 years 4 months ago
Dissemination of compressed historical information in sensor networks
Sensor nodes are small devices that "measure" their environment and communicate feeds of low-level data values to a base station for further processing and archiving. Dis...
Antonios Deligiannakis, Yannis Kotidis, Nick Rouss...
ICCV
2001
IEEE
16 years 5 months ago
A Novel Modeling Algorithm for Shape Recovery of Unknown Topology
This paper presents a novel modeling algorithm that is capable of simultaneously recovering correct shape geometry as well as its unknown topology from arbitrarily complicated dat...
Ye Duan, Hong Qin
ICALP
2009
Springer
16 years 4 months ago
External Sampling
We initiate the study of sublinear-time algorithms in the external memory model [14]. In this model, the data is stored in blocks of a certain size B, and the algorithm is charged...
Alexandr Andoni, Piotr Indyk, Krzysztof Onak, Roni...
SIGMOD
2004
ACM
204views Database» more  SIGMOD 2004»
16 years 4 months ago
Buffering Database Operations for Enhanced Instruction Cache Performance
As more and more query processing work can be done in main memory, memory access is becoming a significant cost component of database operations. Recent database research has show...
Jingren Zhou, Kenneth A. Ross