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» Evaluating algorithms that learn from data streams
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ICRA
2005
IEEE
116views Robotics» more  ICRA 2005»
16 years 10 days ago
Using Hierarchical EM to Extract Planes from 3D Range Scans
— Recently, the acquisition of three-dimensional maps has become more and more popular. This is motivated by the fact that robots act in the three-dimensional world and several t...
Rudolph Triebel, Wolfram Burgard, Frank Dellaert
INTERSPEECH
2010
15 years 1 months ago
Using dependency parsing and machine learning for factoid question answering on spoken documents
This paper presents our experiments in question answering for speech corpora. These experiments focus on improving the answer extraction step of the QA process. We present two app...
Pere Comas, Jordi Turmo, Lluís Màrqu...
ACSAC
2000
IEEE
15 years 11 months ago
Two State-based Approaches to Program-based Anomaly Detection
This paper describes two recently developed intrusion detection algorithms, and gives experimental results on their performance. The algorithms detect anomalies in execution audit...
Christoph C. Michael, Anup K. Ghosh
DAS
2006
Springer
15 years 10 months ago
Performance Evaluation of Text Detection and Tracking in Video
Text detection and tracking is an important step in a video content analysis system as it brings important semantic clues which is a vital supplemental source of index information....
Vasant Manohar, Padmanabhan Soundararajan, Matthew...
NIPS
2008
15 years 8 months ago
Bayesian Kernel Shaping for Learning Control
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...