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» Enhanced Network-State Estimation using Change Detection
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131
Voted
SDM
2004
SIAM
141views Data Mining» more  SDM 2004»
15 years 4 months ago
Active Mining of Data Streams
Most previously proposed mining methods on data streams make an unrealistic assumption that "labelled" data stream is readily available and can be mined at anytime. Howe...
Wei Fan, Yi-an Huang, Haixun Wang, Philip S. Yu
123
Voted
ICCV
2003
IEEE
16 years 4 months ago
A Class of Photometric Invariants: Separating Material from Shape and Illumination
We derive a new class of photometric invariants that can be used for a variety of vision tasks including lighting invariant material segmentation, change detection and tracking, a...
Srinivasa G. Narasimhan, Visvanathan Ramesh, Shree...
120
Voted
ICCV
2009
IEEE
2061views Computer Vision» more  ICCV 2009»
16 years 7 months ago
Background Subtraction for Freely Moving Cameras
Background subtraction algorithms define the background as parts of a scene that are at rest. Traditionally, these algorithms assume a stationary camera, and identify moving obj...
Yaser Sheikh, Omar Javed, Takeo Kanade
118
Voted
CVPR
2010
IEEE
15 years 10 months ago
Automatic Discovery of Meaningful Object Parts with Latent CRFs
Object recognition is challenging due to high intra-class variability caused, e.g., by articulation, viewpoint changes, and partial occlusion. Successful methods need to strike a...
Paul Schnitzspan, Stefan Roth, Bernt Schiele
127
Voted
IMC
2010
ACM
15 years 15 days ago
Revisiting the case for a minimalist approach for network flow monitoring
Network management applications require accurate estimates of a wide range of flow-level traffic metrics. Given the inadequacy of current packet-sampling-based solutions, several ...
Vyas Sekar, Michael K. Reiter, Hui Zhang