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PAMI
2007
196views more  PAMI 2007»
15 years 6 months ago
Clustering and Embedding Using Commute Times
This paper exploits the properties of the commute time between nodes of a graph for the purposes of clustering and embedding, and explores its applications to image segmentation a...
Huaijun Qiu, Edwin R. Hancock
237
Voted
ESWS
2010
Springer
15 years 5 months ago
The Semantic Gap of Formalized Meaning
Recent work in Ontology learning and Text mining has mainly focused on engineering methods to solve practical problem. In this thesis, we investigate methods that can substantially...
Sebastian Hellmann
175
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ICRA
2010
IEEE
158views Robotics» more  ICRA 2010»
15 years 5 months ago
Real-time monocular SLAM: Why filter?
Abstract— While the most accurate solution to off-line structure from motion (SFM) problems is undoubtedly to extract as much correspondence information as possible and perform g...
Hauke Strasdat, J. M. M. Montiel, Andrew J. Daviso...
168
Voted
INFOCOM
2010
IEEE
15 years 5 months ago
A Signal Processing View on Packet Sampling and Anomaly Detection
—Anomaly detection methods typically operate on pre-processed, i.e., sampled and aggregated, traffic traces. Most traffic capturing devices today employ random packet sampling,...
Daniela Brauckhoff, Kavé Salamatian, Martin...
216
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KDD
2010
ACM
272views Data Mining» more  KDD 2010»
15 years 5 months ago
Scalable similarity search with optimized kernel hashing
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Junfeng He, Wei Liu, Shih-Fu Chang
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