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» MILIS: Multiple Instance Learning with Instance Selection
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NSDI
2004
13 years 9 months ago
Designing a DHT for Low Latency and High Throughput
Designing a wide-area distributed hash table (DHT) that provides high-throughput and low-latency network storage is a challenge. Existing systems have explored a range of solution...
Frank Dabek, Jinyang Li, Emil Sit, James Robertson...
CPAIOR
2008
Springer
13 years 9 months ago
The Accuracy of Search Heuristics: An Empirical Study on Knapsack Problems
Theoretical models for the evaluation of quickly improving search strategies, like limited discrepancy search, are based on specific assumptions regarding the probability that a va...
Daniel H. Leventhal, Meinolf Sellmann
ICDM
2009
IEEE
112views Data Mining» more  ICDM 2009»
14 years 2 months ago
Spatio-temporal Multi-dimensional Relational Framework Trees
—The real world is composed of sets of objects that move and morph in both space and time. Useful concepts can be defined in terms of the complex interactions between the multi-...
Matthew Bodenhamer, Samuel Bleckley, Daniel Fennel...
SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
13 years 9 months ago
Predictive Modeling with Heterogeneous Sources
Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
Xiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang, Philip ...
ICDCS
2007
IEEE
13 years 11 months ago
uSense: A Unified Asymmetric Sensing Coverage Architecture for Wireless Sensor Networks
As a key approach to achieve energy efficiency in sensor networks, sensing coverage has been studied extensively. Researchers have designed many coverage protocols to provide vario...
Yu Gu, Joengmin Hwang, Tian He, David Hung-Chang D...