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» An approach to feature location in distributed systems
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ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
14 years 2 months ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...
HICSS
2009
IEEE
209views Biometrics» more  HICSS 2009»
14 years 3 months ago
SIDD: A Framework for Detecting Sensitive Data Exfiltration by an Insider Attack
Detecting and mitigating insider threat is a critical element in the overall information protection strategy. By successfully implementing tactics to detect this threat, organizat...
Yali Liu, Cherita L. Corbett, Ken Chiang, Rennie A...
IEEEVAST
2010
13 years 3 months ago
A visual analytics approach to model learning
The process of learning models from raw data typically requires a substantial amount of user input during the model initialization phase. We present an assistive visualization sys...
Supriya Garg, I. V. Ramakrishnan, Klaus Mueller
ISER
2004
Springer
173views Robotics» more  ISER 2004»
14 years 1 months ago
Synergies in Feature Localization by Air-Ground Robot Teams
Abstract. This paper describes the implementation of a decentralized architecture for autonomous teams of aerial and ground vehicles engaged in active perception. We provide a theo...
Ben Grocholsky, Selcuk Bayraktar, Vijay Kumar, Cam...
EMNLP
2010
13 years 6 months ago
Soft Syntactic Constraints for Hierarchical Phrase-Based Translation Using Latent Syntactic Distributions
In this paper, we present a novel approach to enhance hierarchical phrase-based machine translation systems with linguistically motivated syntactic features. Rather than directly ...
Zhongqiang Huang, Martin Cmejrek, Bowen Zhou