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CVPR
2009
IEEE
17 years 1 months ago
What's It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations
Active learning strategies can be useful when manual labeling effort is scarce, as they select the most informative examples to be annotated first. However, for visual category ...
Sudheendra Vijayanarasimhan (University of Texas a...
ECCV
2008
Springer
16 years 8 months ago
Learning to Localize Objects with Structured Output Regression
Sliding window classifiers are among the most successful and widely applied techniques for object localization. However, training is typically done in a way that is not specific to...
Matthew B. Blaschko, Christoph H. Lampert
ICIP
2001
IEEE
16 years 8 months ago
Dynamic Active Search for quick object detection with pan-tilt-zoom camera
This paper proposes a search method for detecting known objects quickly in 3D environments with a pan-tilt-zoom camera. In our previous work, we proposed an algorithm named Active...
Takahito Kawanishi, Hiroshi Murase, Shigeru Takagi...
ICDE
2007
IEEE
124views Database» more  ICDE 2007»
16 years 7 months ago
On MBR Approximation of Histories for Historical Queries: Expectations and Limitations
Traditional approaches for efficiently processing historical queries, where a history is a multidimensional timeseries, employ a two step filter-and-refine scheme. In the filter s...
Reza Sherkat, Davood Rafiei
ICDE
2005
IEEE
108views Database» more  ICDE 2005»
16 years 7 months ago
Range Efficient Computation of F0 over Massive Data Streams
Efficient one-pass computation of F0, the number of distinct elements in a data stream, is a fundamental problem arising in various contexts in databases and networking. We consid...
Pavan Aduri, Srikanta Tirthapura